From 66ed510d2412e040a1b8077d53e739da99f58a27 Mon Sep 17 00:00:00 2001
From: TevinClaw <510129976@qq.com>
Date: Sat, 14 Mar 2026 12:24:48 +0800
Subject: [PATCH] 添加主agent基层技能

---
 workspace/skills/clawsec/skill.md                                       |  197 +++++++
 workspace/skills/multi-search-engine/CHANGELOG.md                       |   15 
 workspace/skills/multi-search-engine/metadata.json                      |    7 
 workspace/skills/clawsec/_meta.json                                     |    6 
 workspace/skills/find-skills/_meta.json                                 |    6 
 workspace/skills/multi-search-engine/SKILL.md                           |  110 ++++
 workspace/skills/tavily-search/SKILL.md                                 |   56 ++
 workspace/skills/find-skills/.clawhub/origin.json                       |    7 
 workspace/skills/find-skills/SKILL.md                                   |  133 +++++
 workspace/skills/multi-search-engine/references/international-search.md |  651 ++++++++++++++++++++++++++
 workspace/skills/multi-search-engine/.clawhub/origin.json               |    7 
 workspace/skills/clawsec/.clawhub/origin.json                           |    7 
 workspace/skills/multi-search-engine/config.json                        |   22 
 workspace/skills/tavily-search/scripts/tavily_search.py                 |  178 +++++++
 workspace/skills/multi-search-engine/_meta.json                         |    6 
 workspace/skills/multi-search-engine/CHANNELLOG.md                      |   48 +
 16 files changed, 1,456 insertions(+), 0 deletions(-)

diff --git a/workspace/skills/clawsec/.clawhub/origin.json b/workspace/skills/clawsec/.clawhub/origin.json
new file mode 100644
index 0000000..2d63c66
--- /dev/null
+++ b/workspace/skills/clawsec/.clawhub/origin.json
@@ -0,0 +1,7 @@
+{
+  "version": 1,
+  "registry": "https://clawhub.ai",
+  "slug": "clawsec",
+  "installedVersion": "1.0.0",
+  "installedAt": 1773289622474
+}
diff --git a/workspace/skills/clawsec/_meta.json b/workspace/skills/clawsec/_meta.json
new file mode 100644
index 0000000..ddf47d6
--- /dev/null
+++ b/workspace/skills/clawsec/_meta.json
@@ -0,0 +1,6 @@
+{
+  "ownerId": "kn7d8wr58n2zdc0fdyns416kbh81ff7d",
+  "slug": "clawsec",
+  "version": "1.0.0",
+  "publishedAt": 1771512345942
+}
\ No newline at end of file
diff --git a/workspace/skills/clawsec/skill.md b/workspace/skills/clawsec/skill.md
new file mode 100644
index 0000000..e843573
--- /dev/null
+++ b/workspace/skills/clawsec/skill.md
@@ -0,0 +1,197 @@
+# clawsec
+
+You are now acting as the ClawSec Monitor assistant. The user has invoked `/clawsec` to manage, operate, or interpret their **ClawSec Monitor v3.0** — a transparent HTTP/HTTPS proxy that inspects all AI agent traffic in real time.
+
+---
+
+## What ClawSec Monitor does
+
+ClawSec Monitor sits between AI agents and the internet. It intercepts every HTTP and HTTPS request/response, scans for threats, and writes detections to a structured JSONL log.
+
+**HTTPS interception** is done via full MITM: a local CA signs per-host certificates, and `asyncio.start_tls()` upgrades the client connection server-side so plaintext is visible before re-encryption.
+
+**Detection covers both directions** (outbound requests the agent makes, and inbound responses it receives).
+
+---
+
+## Detection patterns
+
+### EXFIL patterns
+| Pattern name | What it matches |
+|---|---|
+| `ai_api_key` | `sk-ant-*`, `sk-live-*`, `sk-gpt-*`, `sk-pro-*` |
+| `aws_access_key` | `AKIA*`, `ASIA*` (AWS access key IDs) |
+| `private_key_pem` | `-----BEGIN RSA/OPENSSH/EC/DSA PRIVATE KEY-----` |
+| `ssh_key_file` | `.ssh/id_rsa`, `.ssh/id_ed25519`, `.ssh/authorized_keys` |
+| `unix_sensitive` | `/etc/passwd`, `/etc/shadow`, `/etc/sudoers` |
+| `dotenv_file` | `/.env`, `/.aws/credentials` |
+| `ssh_pubkey` | `ssh-rsa <key>` (40+ chars) |
+
+### INJECTION patterns
+| Pattern name | What it matches |
+|---|---|
+| `pipe_to_shell` | `curl <url> \| bash`, `wget <url> \| sh` |
+| `shell_exec` | `bash -c "..."`, `sh -i "..."` |
+| `reverse_shell` | `nc <host> <port>` / `netcat` / `ncat` |
+| `destructive_rm` | `rm -rf /` |
+| `ssh_key_inject` | `echo ssh-rsa` (SSH key injection attempt) |
+
+---
+
+## All commands
+
+```bash
+# Start the proxy (runs in foreground, Ctrl-C or SIGTERM to stop)
+python3 clawsec-monitor.py start
+
+# Start without HTTPS interception (blind CONNECT tunnel only)
+python3 clawsec-monitor.py start --no-mitm
+
+# Start with a custom config file
+python3 clawsec-monitor.py start --config /path/to/config.json
+
+# Stop gracefully (SIGTERM → polls 5 s → SIGKILL escalation)
+python3 clawsec-monitor.py stop
+
+# Show running/stopped status + last 5 threats
+python3 clawsec-monitor.py status
+
+# Dump last 10 threats as JSON
+python3 clawsec-monitor.py threats
+
+# Dump last N threats
+python3 clawsec-monitor.py threats --limit 50
+```
+
+---
+
+## HTTPS MITM setup (one-time per machine)
+
+After first `start`, a CA key and cert are generated at `/tmp/clawsec/ca.crt`.
+
+```bash
+# macOS
+sudo security add-trusted-cert -d -r trustRoot \
+  -k /Library/Keychains/System.keychain /tmp/clawsec/ca.crt
+
+# Ubuntu / Debian
+sudo cp /tmp/clawsec/ca.crt /usr/local/share/ca-certificates/clawsec.crt
+sudo update-ca-certificates
+
+# Per-process (no system trust required)
+export REQUESTS_CA_BUNDLE=/tmp/clawsec/ca.crt   # Python requests
+export SSL_CERT_FILE=/tmp/clawsec/ca.crt         # httpx
+export NODE_EXTRA_CA_CERTS=/tmp/clawsec/ca.crt   # Node.js
+export CURL_CA_BUNDLE=/tmp/clawsec/ca.crt         # curl
+```
+
+Then route agent traffic through the proxy:
+
+```bash
+export HTTP_PROXY=http://127.0.0.1:8888
+export HTTPS_PROXY=http://127.0.0.1:8888
+```
+
+---
+
+## Config file reference
+
+```json
+{
+  "proxy_host":          "127.0.0.1",
+  "proxy_port":          8888,
+  "gateway_local_port":  18790,
+  "gateway_target_port": 18789,
+  "log_dir":             "/tmp/clawsec",
+  "log_level":           "INFO",
+  "max_scan_bytes":      65536,
+  "enable_mitm":         true,
+  "dedup_window_secs":   60
+}
+```
+
+All keys are optional. Defaults are shown above.
+
+---
+
+## Threat log format
+
+Threats are appended to `/tmp/clawsec/threats.jsonl` (one JSON object per line):
+
+```json
+{
+  "direction":  "outbound",
+  "protocol":   "https",
+  "threat_type": "EXFIL",
+  "pattern":    "ai_api_key",
+  "snippet":    "Authorization: Bearer sk-ant-api01-...",
+  "source":     "127.0.0.1",
+  "dest":       "api.anthropic.com:443",
+  "timestamp":  "2026-02-19T13:41:59.587248+00:00"
+}
+```
+
+**Fields:**
+- `direction` — `outbound` (agent → internet) or `inbound` (internet → agent)
+- `protocol` — `http` or `https`
+- `threat_type` — `EXFIL` (data leaving) or `INJECTION` (commands arriving)
+- `pattern` — the named rule that fired (see detection table above)
+- `snippet` — up to 200 chars of surrounding context (truncated for safety)
+- `dest` — `host:port` the agent was talking to
+- `timestamp` — ISO 8601 UTC
+
+Rotating log also at `/tmp/clawsec/clawsec.log` (10 MB × 3 backups).
+Deduplication: same `(pattern, dest, direction)` suppressed for 60 seconds.
+
+---
+
+## Docker
+
+```bash
+# Start
+docker compose -f docker-compose.clawsec.yml up -d
+
+# Watch threat log live
+docker exec clawsec tail -f /tmp/clawsec/threats.jsonl
+
+# Query threats
+docker exec clawsec python3 clawsec-monitor.py threats
+
+# Stop
+docker compose -f docker-compose.clawsec.yml down
+```
+
+CA persists in the `clawsec_data` Docker volume across restarts.
+
+---
+
+## Files
+
+| File | Purpose |
+|---|---|
+| `clawsec-monitor.py` | Main script (876 lines) |
+| `run_tests.py` | 28-test regression suite |
+| `Dockerfile.clawsec` | Python 3.12-slim image |
+| `docker-compose.clawsec.yml` | One-command deploy + healthcheck |
+| `requirements.clawsec.txt` | `cryptography>=42.0.0` |
+
+---
+
+## How to help the user
+
+When `/clawsec` is invoked, determine what the user needs and assist accordingly:
+
+1. **Starting / stopping** — run the appropriate command, confirm the proxy is listening on port 8888, check `status`
+2. **Interpreting threats** — run `python3 clawsec-monitor.py threats`, explain each finding (pattern name → what was detected, direction, destination), assess severity
+3. **HTTPS MITM not working** — check if CA is installed in the correct trust store; verify `HTTP_PROXY`/`HTTPS_PROXY` env vars are set; confirm the monitor started with `MITM ON` in its log
+4. **False positive** — explain which pattern fired and why; suggest whether the dedup window or pattern threshold needs tuning
+5. **Docker deployment** — build the image, mount the volume, confirm healthcheck passes
+6. **Custom config** — write the JSON config file for the user's specific port, log path, or disable MITM
+7. **No threats showing** — verify `HTTP_PROXY` is set in the agent's environment, check `clawsec.log` for errors, confirm `threats.jsonl` exists
+
+Always check `python3 clawsec-monitor.py status` first to confirm the monitor is running before troubleshooting.
+
+---
+
+*ClawSec Monitor v3.0 — See what your AI agents are really doing.*
+*GitHub: https://github.com/chrisochrisochriso-cmyk/clawsec-monitor*
diff --git a/workspace/skills/find-skills/.clawhub/origin.json b/workspace/skills/find-skills/.clawhub/origin.json
new file mode 100644
index 0000000..31ae524
--- /dev/null
+++ b/workspace/skills/find-skills/.clawhub/origin.json
@@ -0,0 +1,7 @@
+{
+  "version": 1,
+  "registry": "https://clawhub.ai",
+  "slug": "find-skills",
+  "installedVersion": "0.1.0",
+  "installedAt": 1773309832177
+}
diff --git a/workspace/skills/find-skills/SKILL.md b/workspace/skills/find-skills/SKILL.md
new file mode 100644
index 0000000..c797184
--- /dev/null
+++ b/workspace/skills/find-skills/SKILL.md
@@ -0,0 +1,133 @@
+---
+name: find-skills
+description: Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
+---
+
+# Find Skills
+
+This skill helps you discover and install skills from the open agent skills ecosystem.
+
+## When to Use This Skill
+
+Use this skill when the user:
+
+- Asks "how do I do X" where X might be a common task with an existing skill
+- Says "find a skill for X" or "is there a skill for X"
+- Asks "can you do X" where X is a specialized capability
+- Expresses interest in extending agent capabilities
+- Wants to search for tools, templates, or workflows
+- Mentions they wish they had help with a specific domain (design, testing, deployment, etc.)
+
+## What is the Skills CLI?
+
+The Skills CLI (`npx skills`) is the package manager for the open agent skills ecosystem. Skills are modular packages that extend agent capabilities with specialized knowledge, workflows, and tools.
+
+**Key commands:**
+
+- `npx skills find [query]` - Search for skills interactively or by keyword
+- `npx skills add <package>` - Install a skill from GitHub or other sources
+- `npx skills check` - Check for skill updates
+- `npx skills update` - Update all installed skills
+
+**Browse skills at:** https://skills.sh/
+
+## How to Help Users Find Skills
+
+### Step 1: Understand What They Need
+
+When a user asks for help with something, identify:
+
+1. The domain (e.g., React, testing, design, deployment)
+2. The specific task (e.g., writing tests, creating animations, reviewing PRs)
+3. Whether this is a common enough task that a skill likely exists
+
+### Step 2: Search for Skills
+
+Run the find command with a relevant query:
+
+```bash
+npx skills find [query]
+```
+
+For example:
+
+- User asks "how do I make my React app faster?" → `npx skills find react performance`
+- User asks "can you help me with PR reviews?" → `npx skills find pr review`
+- User asks "I need to create a changelog" → `npx skills find changelog`
+
+The command will return results like:
+
+```
+Install with npx skills add <owner/repo@skill>
+
+vercel-labs/agent-skills@vercel-react-best-practices
+└ https://skills.sh/vercel-labs/agent-skills/vercel-react-best-practices
+```
+
+### Step 3: Present Options to the User
+
+When you find relevant skills, present them to the user with:
+
+1. The skill name and what it does
+2. The install command they can run
+3. A link to learn more at skills.sh
+
+Example response:
+
+```
+I found a skill that might help! The "vercel-react-best-practices" skill provides
+React and Next.js performance optimization guidelines from Vercel Engineering.
+
+To install it:
+npx skills add vercel-labs/agent-skills@vercel-react-best-practices
+
+Learn more: https://skills.sh/vercel-labs/agent-skills/vercel-react-best-practices
+```
+
+### Step 4: Offer to Install
+
+If the user wants to proceed, you can install the skill for them:
+
+```bash
+npx skills add <owner/repo@skill> -g -y
+```
+
+The `-g` flag installs globally (user-level) and `-y` skips confirmation prompts.
+
+## Common Skill Categories
+
+When searching, consider these common categories:
+
+| Category        | Example Queries                          |
+| --------------- | ---------------------------------------- |
+| Web Development | react, nextjs, typescript, css, tailwind |
+| Testing         | testing, jest, playwright, e2e           |
+| DevOps          | deploy, docker, kubernetes, ci-cd        |
+| Documentation   | docs, readme, changelog, api-docs        |
+| Code Quality    | review, lint, refactor, best-practices   |
+| Design          | ui, ux, design-system, accessibility     |
+| Productivity    | workflow, automation, git                |
+
+## Tips for Effective Searches
+
+1. **Use specific keywords**: "react testing" is better than just "testing"
+2. **Try alternative terms**: If "deploy" doesn't work, try "deployment" or "ci-cd"
+3. **Check popular sources**: Many skills come from `vercel-labs/agent-skills` or `ComposioHQ/awesome-claude-skills`
+
+## When No Skills Are Found
+
+If no relevant skills exist:
+
+1. Acknowledge that no existing skill was found
+2. Offer to help with the task directly using your general capabilities
+3. Suggest the user could create their own skill with `npx skills init`
+
+Example:
+
+```
+I searched for skills related to "xyz" but didn't find any matches.
+I can still help you with this task directly! Would you like me to proceed?
+
+If this is something you do often, you could create your own skill:
+npx skills init my-xyz-skill
+```
diff --git a/workspace/skills/find-skills/_meta.json b/workspace/skills/find-skills/_meta.json
new file mode 100644
index 0000000..ee62219
--- /dev/null
+++ b/workspace/skills/find-skills/_meta.json
@@ -0,0 +1,6 @@
+{
+  "ownerId": "kn77ajmmqw3cgnc3ay1x3e0ccd805hsw",
+  "slug": "find-skills",
+  "version": "0.1.0",
+  "publishedAt": 1769698710765
+}
\ No newline at end of file
diff --git a/workspace/skills/multi-search-engine/.clawhub/origin.json b/workspace/skills/multi-search-engine/.clawhub/origin.json
new file mode 100644
index 0000000..7376714
--- /dev/null
+++ b/workspace/skills/multi-search-engine/.clawhub/origin.json
@@ -0,0 +1,7 @@
+{
+  "version": 1,
+  "registry": "https://clawhub.ai",
+  "slug": "multi-search-engine",
+  "installedVersion": "2.0.1",
+  "installedAt": 1773289670176
+}
diff --git a/workspace/skills/multi-search-engine/CHANGELOG.md b/workspace/skills/multi-search-engine/CHANGELOG.md
new file mode 100644
index 0000000..f5d10e3
--- /dev/null
+++ b/workspace/skills/multi-search-engine/CHANGELOG.md
@@ -0,0 +1,15 @@
+# Changelog
+
+## v2.0.1 (2026-02-06)
+- Simplified documentation
+- Removed gov-related content
+- Optimized for ClawHub publishing
+
+## v2.0.0 (2026-02-06)
+- Added 9 international search engines
+- Enhanced advanced search capabilities
+- Added DuckDuckGo Bangs support
+- Added WolframAlpha knowledge queries
+
+## v1.0.0 (2026-02-04)
+- Initial release with 8 domestic search engines
diff --git a/workspace/skills/multi-search-engine/CHANNELLOG.md b/workspace/skills/multi-search-engine/CHANNELLOG.md
new file mode 100644
index 0000000..74bec12
--- /dev/null
+++ b/workspace/skills/multi-search-engine/CHANNELLOG.md
@@ -0,0 +1,48 @@
+# Multi Search Engine
+
+## 基本信息
+
+- **名称**: multi-search-engine
+- **版本**: v2.0.1
+- **描述**: 集成17个搜索引擎（8国内+9国际），支持高级搜索语法
+- **发布时间**: 2026-02-06
+
+## 搜索引擎
+
+**国内（8个）**: 百度、必应、360、搜狗、微信、头条、集思录
+**国际（9个）**: Google、DuckDuckGo、Yahoo、Brave、Startpage、Ecosia、Qwant、WolframAlpha
+
+## 核心功能
+
+- 高级搜索操作符（site:, filetype:, intitle:等）
+- DuckDuckGo Bangs快捷命令
+- 时间筛选（小时/天/周/月/年）
+- 隐私保护搜索
+- WolframAlpha知识计算
+
+## 更新记录
+
+### v2.0.1 (2026-02-06)
+- 精简文档，优化发布
+
+### v2.0.0 (2026-02-06)
+- 新增9个国际搜索引擎
+- 强化深度搜索能力
+
+### v1.0.0 (2026-02-04)
+- 初始版本：8个国内搜索引擎
+
+## 使用示例
+
+```javascript
+// Google搜索
+web_fetch({"url": "https://www.google.com/search?q=python"})
+
+// 隐私搜索
+web_fetch({"url": "https://duckduckgo.com/html/?q=privacy"})
+
+// 站内搜索
+web_fetch({"url": "https://www.google.com/search?q=site:github.com+python"})
+```
+
+MIT License
diff --git a/workspace/skills/multi-search-engine/SKILL.md b/workspace/skills/multi-search-engine/SKILL.md
new file mode 100644
index 0000000..1b4e0d8
--- /dev/null
+++ b/workspace/skills/multi-search-engine/SKILL.md
@@ -0,0 +1,110 @@
+---
+name: "multi-search-engine"
+description: "Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required."
+---
+
+# Multi Search Engine v2.0.1
+
+Integration of 17 search engines for web crawling without API keys.
+
+## Search Engines
+
+### Domestic (8)
+- **Baidu**: `https://www.baidu.com/s?wd={keyword}`
+- **Bing CN**: `https://cn.bing.com/search?q={keyword}&ensearch=0`
+- **Bing INT**: `https://cn.bing.com/search?q={keyword}&ensearch=1`
+- **360**: `https://www.so.com/s?q={keyword}`
+- **Sogou**: `https://sogou.com/web?query={keyword}`
+- **WeChat**: `https://wx.sogou.com/weixin?type=2&query={keyword}`
+- **Toutiao**: `https://so.toutiao.com/search?keyword={keyword}`
+- **Jisilu**: `https://www.jisilu.cn/explore/?keyword={keyword}`
+
+### International (9)
+- **Google**: `https://www.google.com/search?q={keyword}`
+- **Google HK**: `https://www.google.com.hk/search?q={keyword}`
+- **DuckDuckGo**: `https://duckduckgo.com/html/?q={keyword}`
+- **Yahoo**: `https://search.yahoo.com/search?p={keyword}`
+- **Startpage**: `https://www.startpage.com/sp/search?query={keyword}`
+- **Brave**: `https://search.brave.com/search?q={keyword}`
+- **Ecosia**: `https://www.ecosia.org/search?q={keyword}`
+- **Qwant**: `https://www.qwant.com/?q={keyword}`
+- **WolframAlpha**: `https://www.wolframalpha.com/input?i={keyword}`
+
+## Quick Examples
+
+```javascript
+// Basic search
+web_fetch({"url": "https://www.google.com/search?q=python+tutorial"})
+
+// Site-specific
+web_fetch({"url": "https://www.google.com/search?q=site:github.com+react"})
+
+// File type
+web_fetch({"url": "https://www.google.com/search?q=machine+learning+filetype:pdf"})
+
+// Time filter (past week)
+web_fetch({"url": "https://www.google.com/search?q=ai+news&tbs=qdr:w"})
+
+// Privacy search
+web_fetch({"url": "https://duckduckgo.com/html/?q=privacy+tools"})
+
+// DuckDuckGo Bangs
+web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+tensorflow"})
+
+// Knowledge calculation
+web_fetch({"url": "https://www.wolframalpha.com/input?i=100+USD+to+CNY"})
+```
+
+## Advanced Operators
+
+| Operator | Example | Description |
+|----------|---------|-------------|
+| `site:` | `site:github.com python` | Search within site |
+| `filetype:` | `filetype:pdf report` | Specific file type |
+| `""` | `"machine learning"` | Exact match |
+| `-` | `python -snake` | Exclude term |
+| `OR` | `cat OR dog` | Either term |
+
+## Time Filters
+
+| Parameter | Description |
+|-----------|-------------|
+| `tbs=qdr:h` | Past hour |
+| `tbs=qdr:d` | Past day |
+| `tbs=qdr:w` | Past week |
+| `tbs=qdr:m` | Past month |
+| `tbs=qdr:y` | Past year |
+
+## Privacy Engines
+
+- **DuckDuckGo**: No tracking
+- **Startpage**: Google results + privacy
+- **Brave**: Independent index
+- **Qwant**: EU GDPR compliant
+
+## Bangs Shortcuts (DuckDuckGo)
+
+| Bang | Destination |
+|------|-------------|
+| `!g` | Google |
+| `!gh` | GitHub |
+| `!so` | Stack Overflow |
+| `!w` | Wikipedia |
+| `!yt` | YouTube |
+
+## WolframAlpha Queries
+
+- Math: `integrate x^2 dx`
+- Conversion: `100 USD to CNY`
+- Stocks: `AAPL stock`
+- Weather: `weather in Beijing`
+
+## Documentation
+
+- `references/advanced-search.md` - Domestic search guide
+- `references/international-search.md` - International search guide
+- `CHANGELOG.md` - Version history
+
+## License
+
+MIT
diff --git a/workspace/skills/multi-search-engine/_meta.json b/workspace/skills/multi-search-engine/_meta.json
new file mode 100644
index 0000000..0c19f52
--- /dev/null
+++ b/workspace/skills/multi-search-engine/_meta.json
@@ -0,0 +1,6 @@
+{
+  "ownerId": "kn79j8kk7fb9w10jh83803j7f180a44m",
+  "slug": "multi-search-engine",
+  "version": "2.0.1",
+  "publishedAt": 1770313848158
+}
\ No newline at end of file
diff --git a/workspace/skills/multi-search-engine/config.json b/workspace/skills/multi-search-engine/config.json
new file mode 100644
index 0000000..193c41f
--- /dev/null
+++ b/workspace/skills/multi-search-engine/config.json
@@ -0,0 +1,22 @@
+{
+  "name": "multi-search-engine",
+  "engines": [
+    {"name": "Baidu", "url": "https://www.baidu.com/s?wd={keyword}", "region": "cn"},
+    {"name": "Bing CN", "url": "https://cn.bing.com/search?q={keyword}&ensearch=0", "region": "cn"},
+    {"name": "Bing INT", "url": "https://cn.bing.com/search?q={keyword}&ensearch=1", "region": "cn"},
+    {"name": "360", "url": "https://www.so.com/s?q={keyword}", "region": "cn"},
+    {"name": "Sogou", "url": "https://sogou.com/web?query={keyword}", "region": "cn"},
+    {"name": "WeChat", "url": "https://wx.sogou.com/weixin?type=2&query={keyword}", "region": "cn"},
+    {"name": "Toutiao", "url": "https://so.toutiao.com/search?keyword={keyword}", "region": "cn"},
+    {"name": "Jisilu", "url": "https://www.jisilu.cn/explore/?keyword={keyword}", "region": "cn"},
+    {"name": "Google", "url": "https://www.google.com/search?q={keyword}", "region": "global"},
+    {"name": "Google HK", "url": "https://www.google.com.hk/search?q={keyword}", "region": "global"},
+    {"name": "DuckDuckGo", "url": "https://duckduckgo.com/html/?q={keyword}", "region": "global"},
+    {"name": "Yahoo", "url": "https://search.yahoo.com/search?p={keyword}", "region": "global"},
+    {"name": "Startpage", "url": "https://www.startpage.com/sp/search?query={keyword}", "region": "global"},
+    {"name": "Brave", "url": "https://search.brave.com/search?q={keyword}", "region": "global"},
+    {"name": "Ecosia", "url": "https://www.ecosia.org/search?q={keyword}", "region": "global"},
+    {"name": "Qwant", "url": "https://www.qwant.com/?q={keyword}", "region": "global"},
+    {"name": "WolframAlpha", "url": "https://www.wolframalpha.com/input?i={keyword}", "region": "global"}
+  ]
+}
diff --git a/workspace/skills/multi-search-engine/metadata.json b/workspace/skills/multi-search-engine/metadata.json
new file mode 100644
index 0000000..91be4f7
--- /dev/null
+++ b/workspace/skills/multi-search-engine/metadata.json
@@ -0,0 +1,7 @@
+{
+  "name": "multi-search-engine",
+  "version": "2.0.1",
+  "description": "Multi search engine with 17 engines (8 CN + 9 Global). Supports advanced operators, time filters, privacy engines.",
+  "engines": 17,
+  "requires_api_key": false
+}
diff --git a/workspace/skills/multi-search-engine/references/international-search.md b/workspace/skills/multi-search-engine/references/international-search.md
new file mode 100644
index 0000000..b797b93
--- /dev/null
+++ b/workspace/skills/multi-search-engine/references/international-search.md
@@ -0,0 +1,651 @@
+# 国际搜索引擎深度搜索指南
+
+## 🔍 Google 深度搜索
+
+### 1.1 基础高级搜索操作符
+
+| 操作符 | 功能 | 示例 | URL |
+|--------|------|------|-----|
+| `""` | 精确匹配 | `"machine learning"` | `https://www.google.com/search?q=%22machine+learning%22` |
+| `-` | 排除关键词 | `python -snake` | `https://www.google.com/search?q=python+-snake` |
+| `OR` | 或运算 | `machine learning OR deep learning` | `https://www.google.com/search?q=machine+learning+OR+deep+learning` |
+| `*` | 通配符 | `machine * algorithms` | `https://www.google.com/search?q=machine+*+algorithms` |
+| `()` | 分组 | `(apple OR microsoft) phones` | `https://www.google.com/search?q=(apple+OR+microsoft)+phones` |
+| `..` | 数字范围 | `laptop $500..$1000` | `https://www.google.com/search?q=laptop+%24500..%241000` |
+
+### 1.2 站点与文件搜索
+
+| 操作符 | 功能 | 示例 |
+|--------|------|------|
+| `site:` | 站内搜索 | `site:github.com python projects` |
+| `filetype:` | 文件类型 | `filetype:pdf annual report` |
+| `inurl:` | URL包含 | `inurl:login admin` |
+| `intitle:` | 标题包含 | `intitle:"index of" mp3` |
+| `intext:` | 正文包含 | `intext:password filetype:txt` |
+| `cache:` | 查看缓存 | `cache:example.com` |
+| `related:` | 相关网站 | `related:github.com` |
+| `info:` | 网站信息 | `info:example.com` |
+
+### 1.3 时间筛选参数
+
+| 参数 | 含义 | URL示例 |
+|------|------|---------|
+| `tbs=qdr:h` | 过去1小时 | `https://www.google.com/search?q=news&tbs=qdr:h` |
+| `tbs=qdr:d` | 过去24小时 | `https://www.google.com/search?q=news&tbs=qdr:d` |
+| `tbs=qdr:w` | 过去1周 | `https://www.google.com/search?q=news&tbs=qdr:w` |
+| `tbs=qdr:m` | 过去1月 | `https://www.google.com/search?q=news&tbs=qdr:m` |
+| `tbs=qdr:y` | 过去1年 | `https://www.google.com/search?q=news&tbs=qdr:y` |
+| `tbs=cdr:1,cd_min:1/1/2024,cd_max:12/31/2024` | 自定义日期范围 | 2024年全年 |
+
+### 1.4 语言和地区筛选
+
+| 参数 | 功能 | 示例 |
+|------|------|------|
+| `hl=en` | 界面语言 | `https://www.google.com/search?q=test&hl=en` |
+| `lr=lang_zh-CN` | 搜索结果语言 | `https://www.google.com/search?q=test&lr=lang_zh-CN` |
+| `cr=countryCN` | 国家/地区 | `https://www.google.com/search?q=test&cr=countryCN` |
+| `gl=us` | 地理位置 | `https://www.google.com/search?q=test&gl=us` |
+
+### 1.5 特殊搜索类型
+
+| 类型 | URL | 说明 |
+|------|-----|------|
+| 图片搜索 | `https://www.google.com/search?q={keyword}&tbm=isch` | `tbm=isch` 表示图片 |
+| 新闻搜索 | `https://www.google.com/search?q={keyword}&tbm=nws` | `tbm=nws` 表示新闻 |
+| 视频搜索 | `https://www.google.com/search?q={keyword}&tbm=vid` | `tbm=vid` 表示视频 |
+| 地图搜索 | `https://www.google.com/search?q={keyword}&tbm=map` | `tbm=map` 表示地图 |
+| 购物搜索 | `https://www.google.com/search?q={keyword}&tbm=shop` | `tbm=shop` 表示购物 |
+| 图书搜索 | `https://www.google.com/search?q={keyword}&tbm=bks` | `tbm=bks` 表示图书 |
+| 学术搜索 | `https://scholar.google.com/scholar?q={keyword}` | Google Scholar |
+
+### 1.6 Google 深度搜索示例
+
+```javascript
+// 1. 搜索GitHub上的Python机器学习项目
+web_fetch({"url": "https://www.google.com/search?q=site:github.com+python+machine+learning"})
+
+// 2. 搜索2024年的PDF格式机器学习教程
+web_fetch({"url": "https://www.google.com/search?q=machine+learning+tutorial+filetype:pdf&tbs=cdr:1,cd_min:1/1/2024"})
+
+// 3. 搜索标题包含"tutorial"的Python相关页面
+web_fetch({"url": "https://www.google.com/search?q=intitle:tutorial+python"})
+
+// 4. 搜索过去一周的新闻
+web_fetch({"url": "https://www.google.com/search?q=AI+breakthrough&tbs=qdr:w&tbm=nws"})
+
+// 5. 搜索中文内容（界面英文，结果中文）
+web_fetch({"url": "https://www.google.com/search?q=人工智能&lr=lang_zh-CN&hl=en"})
+
+// 6. 搜索特定价格范围的笔记本电脑
+web_fetch({"url": "https://www.google.com/search?q=laptop+%241000..%242000+best+rating"})
+
+// 7. 搜索排除Wikipedia的结果
+web_fetch({"url": "https://www.google.com/search?q=python+programming+-wikipedia"})
+
+// 8. 搜索学术文献
+web_fetch({"url": "https://scholar.google.com/scholar?q=deep+learning+optimization"})
+
+// 9. 搜索缓存页面（查看已删除内容）
+web_fetch({"url": "https://webcache.googleusercontent.com/search?q=cache:example.com"})
+
+// 10. 搜索相关网站
+web_fetch({"url": "https://www.google.com/search?q=related:stackoverflow.com"})
+```
+
+---
+
+## 🦆 DuckDuckGo 深度搜索
+
+### 2.1 DuckDuckGo 特色功能
+
+| 功能 | 语法 | 示例 |
+|------|------|------|
+| **Bangs 快捷** | `!缩写` | `!g python` → Google搜索 |
+| **密码生成** | `password` | `https://duckduckgo.com/?q=password+20` |
+| **颜色转换** | `color` | `https://duckduckgo.com/?q=+%23FF5733` |
+| **短链接** | `shorten` | `https://duckduckgo.com/?q=shorten+example.com` |
+| **二维码生成** | `qr` | `https://duckduckgo.com/?q=qr+hello+world` |
+| **生成UUID** | `uuid` | `https://duckduckgo.com/?q=uuid` |
+| **Base64编解码** | `base64` | `https://duckduckgo.com/?q=base64+hello` |
+
+### 2.2 DuckDuckGo Bangs 完整列表
+
+#### 搜索引擎
+
+| Bang | 跳转目标 | 示例 |
+|------|---------|------|
+| `!g` | Google | `!g python tutorial` |
+| `!b` | Bing | `!b weather` |
+| `!y` | Yahoo | `!y finance` |
+| `!sp` | Startpage | `!sp privacy` |
+| `!brave` | Brave Search | `!brave tech` |
+
+#### 编程开发
+
+| Bang | 跳转目标 | 示例 |
+|------|---------|------|
+| `!gh` | GitHub | `!gh tensorflow` |
+| `!so` | Stack Overflow | `!so javascript error` |
+| `!npm` | npmjs.com | `!npm express` |
+| `!pypi` | PyPI | `!pypi requests` |
+| `!mdn` | MDN Web Docs | `!mdn fetch api` |
+| `!docs` | DevDocs | `!docs python` |
+| `!docker` | Docker Hub | `!docker nginx` |
+
+#### 知识百科
+
+| Bang | 跳转目标 | 示例 |
+|------|---------|------|
+| `!w` | Wikipedia | `!w machine learning` |
+| `!wen` | Wikipedia英文 | `!wen artificial intelligence` |
+| `!wt` | Wiktionary | `!wt serendipity` |
+| `!imdb` | IMDb | `!imdb inception` |
+
+#### 购物价格
+
+| Bang | 跳转目标 | 示例 |
+|------|---------|------|
+| `!a` | Amazon | `!a wireless headphones` |
+| `!e` | eBay | `!e vintage watch` |
+| `!ali` | AliExpress | `!ali phone case` |
+
+#### 地图位置
+
+| Bang | 跳转目标 | 示例 |
+|------|---------|------|
+| `!m` | Google Maps | `!m Beijing` |
+| `!maps` | OpenStreetMap | `!maps Paris` |
+
+### 2.3 DuckDuckGo 搜索参数
+
+| 参数 | 功能 | 示例 |
+|------|------|------|
+| `kp=1` | 严格安全搜索 | `https://duckduckgo.com/html/?q=test&kp=1` |
+| `kp=-1` | 关闭安全搜索 | `https://duckduckgo.com/html/?q=test&kp=-1` |
+| `kl=cn` | 中国区域 | `https://duckduckgo.com/html/?q=news&kl=cn` |
+| `kl=us-en` | 美国英文 | `https://duckduckgo.com/html/?q=news&kl=us-en` |
+| `ia=web` | 网页结果 | `https://duckduckgo.com/?q=test&ia=web` |
+| `ia=images` | 图片结果 | `https://duckduckgo.com/?q=test&ia=images` |
+| `ia=news` | 新闻结果 | `https://duckduckgo.com/?q=test&ia=news` |
+| `ia=videos` | 视频结果 | `https://duckduckgo.com/?q=test&ia=videos` |
+
+### 2.4 DuckDuckGo 深度搜索示例
+
+```javascript
+// 1. 使用Bang跳转到Google搜索
+web_fetch({"url": "https://duckduckgo.com/html/?q=!g+machine+learning"})
+
+// 2. 直接搜索GitHub上的项目
+web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+react"})
+
+// 3. 查找Stack Overflow答案
+web_fetch({"url": "https://duckduckgo.com/html/?q=!so+python+list+comprehension"})
+
+// 4. 生成密码
+web_fetch({"url": "https://duckduckgo.com/?q=password+16"})
+
+// 5. Base64编码
+web_fetch({"url": "https://duckduckgo.com/?q=base64+hello+world"})
+
+// 6. 颜色代码转换
+web_fetch({"url": "https://duckduckgo.com/?q=%23FF5733"})
+
+// 7. 搜索YouTube视频
+web_fetch({"url": "https://duckduckgo.com/html/?q=!yt+python+tutorial"})
+
+// 8. 查看Wikipedia
+web_fetch({"url": "https://duckduckgo.com/html/?q=!w+artificial+intelligence"})
+
+// 9. 亚马逊商品搜索
+web_fetch({"url": "https://duckduckgo.com/html/?q=!a+laptop"})
+
+// 10. 生成二维码
+web_fetch({"url": "https://duckduckgo.com/?q=qr+https://github.com"})
+```
+
+---
+
+## 🔎 Brave Search 深度搜索
+
+### 3.1 Brave Search 特色功能
+
+| 功能 | 参数 | 示例 |
+|------|------|------|
+| **独立索引** | 无依赖Google/Bing | 自有爬虫索引 |
+| **Goggles** | 自定义搜索规则 | 创建个性化过滤器 |
+| **Discussions** | 论坛讨论搜索 | 聚合Reddit等论坛 |
+| **News** | 新闻聚合 | 独立新闻索引 |
+
+### 3.2 Brave Search 参数
+
+| 参数 | 功能 | 示例 |
+|------|------|------|
+| `tf=pw` | 本周 | `https://search.brave.com/search?q=news&tf=pw` |
+| `tf=pm` | 本月 | `https://search.brave.com/search?q=tech&tf=pm` |
+| `tf=py` | 本年 | `https://search.brave.com/search?q=AI&tf=py` |
+| `safesearch=strict` | 严格安全 | `https://search.brave.com/search?q=test&safesearch=strict` |
+| `source=web` | 网页搜索 | 默认 |
+| `source=news` | 新闻搜索 | `https://search.brave.com/search?q=tech&source=news` |
+| `source=images` | 图片搜索 | `https://search.brave.com/search?q=cat&source=images` |
+| `source=videos` | 视频搜索 | `https://search.brave.com/search?q=music&source=videos` |
+
+### 3.3 Brave Search Goggles（自定义过滤器）
+
+Goggles 允许创建自定义搜索规则：
+
+```
+$discard  // 丢弃所有
+$boost,site=stackoverflow.com  // 提升Stack Overflow
+$boost,site=github.com  // 提升GitHub
+$boost,site=docs.python.org  // 提升Python文档
+```
+
+### 3.4 Brave Search 深度搜索示例
+
+```javascript
+// 1. 本周科技新闻
+web_fetch({"url": "https://search.brave.com/search?q=technology&tf=pw&source=news"})
+
+// 2. 本月AI发展
+web_fetch({"url": "https://search.brave.com/search?q=artificial+intelligence&tf=pm"})
+
+// 3. 图片搜索
+web_fetch({"url": "https://search.brave.com/search?q=machine+learning&source=images"})
+
+// 4. 视频教程
+web_fetch({"url": "https://search.brave.com/search?q=python+tutorial&source=videos"})
+
+// 5. 使用独立索引搜索
+web_fetch({"url": "https://search.brave.com/search?q=privacy+tools"})
+```
+
+---
+
+## 📊 WolframAlpha 知识计算搜索
+
+### 4.1 WolframAlpha 数据类型
+
+| 类型 | 查询示例 | URL |
+|------|---------|-----|
+| **数学计算** | `integrate x^2 dx` | `https://www.wolframalpha.com/input?i=integrate+x%5E2+dx` |
+| **单位换算** | `100 miles to km` | `https://www.wolframalpha.com/input?i=100+miles+to+km` |
+| **货币转换** | `100 USD to CNY` | `https://www.wolframalpha.com/input?i=100+USD+to+CNY` |
+| **股票数据** | `AAPL stock` | `https://www.wolframalpha.com/input?i=AAPL+stock` |
+| **天气查询** | `weather in Beijing` | `https://www.wolframalpha.com/input?i=weather+in+Beijing` |
+| **人口数据** | `population of China` | `https://www.wolframalpha.com/input?i=population+of+China` |
+| **化学元素** | `properties of gold` | `https://www.wolframalpha.com/input?i=properties+of+gold` |
+| **营养成分** | `nutrition of apple` | `https://www.wolframalpha.com/input?i=nutrition+of+apple` |
+| **日期计算** | `days between Jan 1 2020 and Dec 31 2024` | 日期间隔计算 |
+| **时区转换** | `10am Beijing to New York` | 时区转换 |
+| **IP地址** | `8.8.8.8` | IP信息查询 |
+| **条形码** | `scan barcode 123456789` | 条码信息 |
+| **飞机航班** | `flight AA123` | 航班信息 |
+
+### 4.2 WolframAlpha 深度搜索示例
+
+```javascript
+// 1. 计算积分
+web_fetch({"url": "https://www.wolframalpha.com/input?i=integrate+sin%28x%29+from+0+to+pi"})
+
+// 2. 解方程
+web_fetch({"url": "https://www.wolframalpha.com/input?i=solve+x%5E2-5x%2B6%3D0"})
+
+// 3. 货币实时汇率
+web_fetch({"url": "https://www.wolframalpha.com/input?i=100+USD+to+CNY"})
+
+// 4. 股票实时数据
+web_fetch({"url": "https://www.wolframalpha.com/input?i=Apple+stock+price"})
+
+// 5. 城市天气
+web_fetch({"url": "https://www.wolframalpha.com/input?i=weather+in+Shanghai+tomorrow"})
+
+// 6. 国家统计信息
+web_fetch({"url": "https://www.wolframalpha.com/input?i=GDP+of+China+vs+USA"})
+
+// 7. 化学计算
+web_fetch({"url": "https://www.wolframalpha.com/input?i=molar+mass+of+H2SO4"})
+
+// 8. 物理常数
+web_fetch({"url": "https://www.wolframalpha.com/input?i=speed+of+light"})
+
+// 9. 营养信息
+web_fetch({"url": "https://www.wolframalpha.com/input?i=calories+in+banana"})
+
+// 10. 历史日期
+web_fetch({"url": "https://www.wolframalpha.com/input?i=events+on+July+20+1969"})
+```
+
+---
+
+## 🔧 Startpage 隐私搜索
+
+### 5.1 Startpage 特色功能
+
+| 功能 | 说明 | URL |
+|------|------|-----|
+| **代理浏览** | 匿名访问搜索结果 | 点击"匿名查看" |
+| **无追踪** | 不记录搜索历史 | 默认开启 |
+| **EU服务器** | 受欧盟隐私法保护 | 数据在欧洲 |
+| **代理图片** | 图片代理加载 | 隐藏IP |
+
+### 5.2 Startpage 参数
+
+| 参数 | 功能 | 示例 |
+|------|------|------|
+| `cat=web` | 网页搜索 | 默认 |
+| `cat=images` | 图片搜索 | `...&cat=images` |
+| `cat=video` | 视频搜索 | `...&cat=video` |
+| `cat=news` | 新闻搜索 | `...&cat=news` |
+| `language=english` | 英文结果 | `...&language=english` |
+| `time=day` | 过去24小时 | `...&time=day` |
+| `time=week` | 过去一周 | `...&time=week` |
+| `time=month` | 过去一月 | `...&time=month` |
+| `time=year` | 过去一年 | `...&time=year` |
+| `nj=0` | 关闭 family filter | `...&nj=0` |
+
+### 5.3 Startpage 深度搜索示例
+
+```javascript
+// 1. 隐私搜索
+web_fetch({"url": "https://www.startpage.com/sp/search?query=privacy+tools"})
+
+// 2. 图片隐私搜索
+web_fetch({"url": "https://www.startpage.com/sp/search?query=nature&cat=images"})
+
+// 3. 本周新闻（隐私模式）
+web_fetch({"url": "https://www.startpage.com/sp/search?query=tech+news&time=week&cat=news"})
+
+// 4. 英文结果搜索
+web_fetch({"url": "https://www.startpage.com/sp/search?query=machine+learning&language=english"})
+```
+
+---
+
+## 🌍 综合搜索策略
+
+### 6.1 按搜索目标选择引擎
+
+| 搜索目标 | 首选引擎 | 备选引擎 | 原因 |
+|---------|---------|---------|------|
+| **学术研究** | Google Scholar | Google, Brave | 学术资源索引 |
+| **编程开发** | Google | GitHub(DuckDuckGo bang) | 技术文档全面 |
+| **隐私敏感** | DuckDuckGo | Startpage, Brave | 不追踪用户 |
+| **实时新闻** | Brave News | Google News | 独立新闻索引 |
+| **知识计算** | WolframAlpha | Google | 结构化数据 |
+| **中文内容** | Google HK | Bing | 中文优化好 |
+| **欧洲视角** | Qwant | Startpage | 欧盟合规 |
+| **环保支持** | Ecosia | DuckDuckGo | 搜索植树 |
+| **无过滤** | Brave | Startpage | 无偏见结果 |
+
+### 6.2 多引擎交叉验证
+
+```javascript
+// 策略：同一关键词多引擎搜索，对比结果
+const keyword = "climate change 2024";
+
+// 获取不同视角
+const searches = [
+  { engine: "Google", url: `https://www.google.com/search?q=${keyword}&tbs=qdr:m` },
+  { engine: "Brave", url: `https://search.brave.com/search?q=${keyword}&tf=pm` },
+  { engine: "DuckDuckGo", url: `https://duckduckgo.com/html/?q=${keyword}` },
+  { engine: "Ecosia", url: `https://www.ecosia.org/search?q=${keyword}` }
+];
+
+// 分析不同引擎的结果差异
+```
+
+### 6.3 时间敏感搜索策略
+
+| 时效性要求 | 引擎选择 | 参数设置 |
+|-----------|---------|---------|
+| **实时（小时级）** | Google News, Brave News | `tbs=qdr:h`, `tf=pw` |
+| **近期（天级）** | Google, Brave | `tbs=qdr:d`, `time=day` |
+| **本周** | 所有引擎 | `tbs=qdr:w`, `tf=pw` |
+| **本月** | 所有引擎 | `tbs=qdr:m`, `tf=pm` |
+| **历史** | Google Scholar | 学术档案 |
+
+### 6.4 专业领域深度搜索
+
+#### 技术开发
+
+```javascript
+// GitHub 项目搜索
+web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+tensorflow+stars:%3E1000"})
+
+// Stack Overflow 问题
+web_fetch({"url": "https://duckduckgo.com/html/?q=!so+python+memory+leak"})
+
+// MDN 文档
+web_fetch({"url": "https://duckduckgo.com/html/?q=!mdn+javascript+async+await"})
+
+// PyPI 包
+web_fetch({"url": "https://duckduckgo.com/html/?q=!pypi+requests"})
+
+// npm 包
+web_fetch({"url": "https://duckduckgo.com/html/?q=!npm+express"})
+```
+
+#### 学术研究
+
+```javascript
+// Google Scholar 论文
+web_fetch({"url": "https://scholar.google.com/scholar?q=deep+learning+2024"})
+
+// 搜索PDF论文
+web_fetch({"url": "https://www.google.com/search?q=machine+learning+filetype:pdf+2024"})
+
+// arXiv 论文
+web_fetch({"url": "https://duckduckgo.com/html/?q=site:arxiv.org+quantum+computing"})
+```
+
+#### 金融投资
+
+```javascript
+// 股票实时数据
+web_fetch({"url": "https://www.wolframalpha.com/input?i=AAPL+stock"})
+
+// 汇率转换
+web_fetch({"url": "https://www.wolframalpha.com/input?i=EUR+to+USD"})
+
+// 搜索财报PDF
+web_fetch({"url": "https://www.google.com/search?q=Apple+Q4+2024+earnings+filetype:pdf"})
+```
+
+#### 新闻时事
+
+```javascript
+// Google新闻
+web_fetch({"url": "https://www.google.com/search?q=breaking+news&tbm=nws&tbs=qdr:h"})
+
+// Brave新闻
+web_fetch({"url": "https://search.brave.com/search?q=world+news&source=news"})
+
+// DuckDuckGo新闻
+web_fetch({"url": "https://duckduckgo.com/html/?q=tech+news&ia=news"})
+```
+
+---
+
+## 🛠️ 高级搜索技巧汇总
+
+### URL编码工具函数
+
+```javascript
+// URL编码关键词
+function encodeKeyword(keyword) {
+  return encodeURIComponent(keyword);
+}
+
+// 示例
+const keyword = "machine learning";
+const encoded = encodeKeyword(keyword); // "machine%20learning"
+```
+
+### 批量搜索模板
+
+```javascript
+// 多引擎批量搜索函数
+function generateSearchUrls(keyword) {
+  const encoded = encodeURIComponent(keyword);
+  return {
+    google: `https://www.google.com/search?q=${encoded}`,
+    google_hk: `https://www.google.com.hk/search?q=${encoded}`,
+    duckduckgo: `https://duckduckgo.com/html/?q=${encoded}`,
+    brave: `https://search.brave.com/search?q=${encoded}`,
+    startpage: `https://www.startpage.com/sp/search?query=${encoded}`,
+    bing_intl: `https://cn.bing.com/search?q=${encoded}&ensearch=1`,
+    yahoo: `https://search.yahoo.com/search?p=${encoded}`,
+    ecosia: `https://www.ecosia.org/search?q=${encoded}`,
+    qwant: `https://www.qwant.com/?q=${encoded}`
+  };
+}
+
+// 使用示例
+const urls = generateSearchUrls("artificial intelligence");
+```
+
+### 时间筛选快捷函数
+
+```javascript
+// Google时间筛选URL生成
+function googleTimeSearch(keyword, period) {
+  const periods = {
+    hour: 'qdr:h',
+    day: 'qdr:d',
+    week: 'qdr:w',
+    month: 'qdr:m',
+    year: 'qdr:y'
+  };
+  return `https://www.google.com/search?q=${encodeURIComponent(keyword)}&tbs=${periods[period]}`;
+}
+
+// 使用示例
+const recentNews = googleTimeSearch("AI breakthrough", "week");
+```
+
+---
+
+## 📝 完整搜索示例集
+
+```javascript
+// ==================== 技术开发 ====================
+
+// 1. 搜索GitHub上高Star的Python项目
+web_fetch({"url": "https://www.google.com/search?q=site:github.com+python+stars:%3E1000"})
+
+// 2. Stack Overflow最佳答案
+web_fetch({"url": "https://duckduckgo.com/html/?q=!so+best+way+to+learn+python"})
+
+// 3. MDN文档查询
+web_fetch({"url": "https://duckduckgo.com/html/?q=!mdn+promises"})
+
+// 4. 搜索npm包
+web_fetch({"url": "https://duckduckgo.com/html/?q=!npm+axios"})
+
+// ==================== 学术研究 ====================
+
+// 5. Google Scholar论文
+web_fetch({"url": "https://scholar.google.com/scholar?q=transformer+architecture"})
+
+// 6. 搜索PDF论文
+web_fetch({"url": "https://www.google.com/search?q=attention+is+all+you+need+filetype:pdf"})
+
+// 7. arXiv最新论文
+web_fetch({"url": "https://duckduckgo.com/html/?q=site:arxiv.org+abs+quantum"})
+
+// ==================== 新闻时事 ====================
+
+// 8. Google最新新闻（过去1小时）
+web_fetch({"url": "https://www.google.com/search?q=breaking+news&tbs=qdr:h&tbm=nws"})
+
+// 9. Brave本周科技新闻
+web_fetch({"url": "https://search.brave.com/search?q=technology&tf=pw&source=news"})
+
+// 10. DuckDuckGo新闻
+web_fetch({"url": "https://duckduckgo.com/html/?q=world+news&ia=news"})
+
+// ==================== 金融投资 ====================
+
+// 11. 股票实时数据
+web_fetch({"url": "https://www.wolframalpha.com/input?i=Tesla+stock"})
+
+// 12. 货币汇率
+web_fetch({"url": "https://www.wolframalpha.com/input?i=1+BTC+to+USD"})
+
+// 13. 公司财报PDF
+web_fetch({"url": "https://www.google.com/search?q=Microsoft+annual+report+2024+filetype:pdf"})
+
+// ==================== 知识计算 ====================
+
+// 14. 数学计算
+web_fetch({"url": "https://www.wolframalpha.com/input?i=derivative+of+x%5E3+sin%28x%29"})
+
+// 15. 单位换算
+web_fetch({"url": "https://www.wolframalpha.com/input?i=convert+100+miles+to+kilometers"})
+
+// 16. 营养信息
+web_fetch({"url": "https://www.wolframalpha.com/input?i=protein+in+chicken+breast"})
+
+// ==================== 隐私保护搜索 ====================
+
+// 17. DuckDuckGo隐私搜索
+web_fetch({"url": "https://duckduckgo.com/html/?q=privacy+tools"})
+
+// 18. Startpage匿名搜索
+web_fetch({"url": "https://www.startpage.com/sp/search?query=secure+messaging"})
+
+// 19. Brave无追踪搜索
+web_fetch({"url": "https://search.brave.com/search?q=encryption+software"})
+
+// ==================== 高级组合搜索 ====================
+
+// 20. Google多条件精确搜索
+web_fetch({"url": "https://www.google.com/search?q=%22machine+learning%22+site:github.com+filetype:pdf+2024"})
+
+// 21. 排除特定站点的搜索
+web_fetch({"url": "https://www.google.com/search?q=python+tutorial+-wikipedia+-w3schools"})
+
+// 22. 价格范围搜索
+web_fetch({"url": "https://www.google.com/search?q=laptop+%24800..%241200+best+review"})
+
+// 23. 使用Bangs快速跳转
+web_fetch({"url": "https://duckduckgo.com/html/?q=!g+site:medium.com+python"})
+
+// 24. 图片搜索（Google）
+web_fetch({"url": "https://www.google.com/search?q=beautiful+landscape&tbm=isch"})
+
+// 25. 学术引用搜索
+web_fetch({"url": "https://scholar.google.com/scholar?q=author:%22Geoffrey+Hinton%22"})
+```
+
+---
+
+## 🔐 隐私保护最佳实践
+
+### 搜索引擎隐私级别
+
+| 引擎 | 追踪级别 | 数据保留 | 加密 | 推荐场景 |
+|------|---------|---------|------|---------|
+| **DuckDuckGo** | 无追踪 | 无保留 | 是 | 日常隐私搜索 |
+| **Startpage** | 无追踪 | 无保留 | 是 | 需要Google结果但保护隐私 |
+| **Brave** | 无追踪 | 无保留 | 是 | 独立索引，无偏见 |
+| **Qwant** | 无追踪 | 无保留 | 是 | 欧盟合规要求 |
+| **Google** | 高度追踪 | 长期保留 | 是 | 需要个性化结果 |
+| **Bing** | 中度追踪 | 长期保留 | 是 | 微软服务集成 |
+
+### 隐私搜索建议
+
+1. **日常使用**: DuckDuckGo 或 Brave
+2. **需要Google结果但保护隐私**: Startpage
+3. **学术研究**: Google Scholar（学术用途追踪较少）
+4. **敏感查询**: 使用Tor浏览器 + DuckDuckGo onion服务
+5. **跨设备同步**: 避免登录搜索引擎账户
+
+---
+
+## 📚 参考资料
+
+- [Google搜索操作符完整列表](https://support.google.com/websearch/answer/...)
+- [DuckDuckGo Bangs完整列表](https://duckduckgo.com/bang)
+- [Brave Search文档](https://search.brave.com/help/...)
+- [WolframAlpha示例](https://www.wolframalpha.com/examples/)
diff --git a/workspace/skills/tavily-search/SKILL.md b/workspace/skills/tavily-search/SKILL.md
new file mode 100644
index 0000000..b4ac09f
--- /dev/null
+++ b/workspace/skills/tavily-search/SKILL.md
@@ -0,0 +1,56 @@
+---
+name: tavily-search
+description: Tavily AI Search API integration for high-quality search results optimized for LLMs and RAG applications. Use when the user needs to search the web with Tavily's AI-powered search engine, which provides structured results with summaries, sources, and relevance scores. Particularly useful for research, fact-checking, and gathering up-to-date information from the web.
+---
+
+# Tavily Search
+
+Integration with [Tavily](https://tavily.com) AI Search API - a search engine built specifically for AI applications.
+
+## Prerequisites
+
+1. Get a Tavily API key from https://tavily.com
+2. Configure the key using one of these methods:
+   - **.env file (推荐)**: 在 `~/.openclaw/.env` 文件中配置：
+     ```json
+     {"env": {"TAVILY_API_KEY": "your_key_here"}}
+     ```
+   - **Environment variable**: `export TAVILY_API_KEY=your_key_here`
+   - **Direct parameter**: Pass `api_key` when calling the function
+
+## Usage
+
+### Quick Search
+
+Use the search script for simple queries:
+
+```bash
+python ~/.openclaw/workspace/skills/tavily-search/scripts/tavily_search.py "your search query"
+```
+
+### Python API
+
+```python
+from scripts.tavily_search import tavily_search
+
+results = tavily_search("AI latest news", max_results=5)
+for result in results:
+    print(f"Title: {result['title']}")
+    print(f"URL: {result['url']}")
+    print(f"Content: {result['content']}")
+```
+
+### Advanced Options
+
+The search supports various parameters:
+- `max_results`: Number of results (default: 5)
+- `search_depth`: "basic" or "advanced"
+- `include_images`: Include image URLs
+- `include_answer`: Include AI-generated answer
+
+## Output Format
+
+Tavily returns structured results with:
+- `query`: The search query
+- `answer`: AI-generated answer (if requested)
+- `results`: List of search results with title, url, content, score, and published_date
diff --git a/workspace/skills/tavily-search/scripts/tavily_search.py b/workspace/skills/tavily-search/scripts/tavily_search.py
new file mode 100755
index 0000000..fc78222
--- /dev/null
+++ b/workspace/skills/tavily-search/scripts/tavily_search.py
@@ -0,0 +1,178 @@
+#!/usr/bin/env python3
+"""
+Tavily AI Search API Client
+Usage: python tavily_search.py "your search query" [--max-results 5] [--depth basic|advanced]
+"""
+
+import os
+import sys
+import json
+import argparse
+from pathlib import Path
+from typing import List, Dict, Any, Optional
+
+
+def get_tavily_key_from_env_file() -> Optional[str]:
+    """Read Tavily API key from ~/.openclaw/.env file.
+    
+    Expected format: {"env": {"TAVILY_API_KEY": "your_key"}}
+    """
+    env_file = Path.home() / ".openclaw" / ".env"
+    if not env_file.exists():
+        return None
+    
+    try:
+        with open(env_file, 'r', encoding='utf-8') as f:
+            env_data = json.load(f)
+        # Support nested structure: {"env": {"TAVILY_API_KEY": "..."}}
+        if "env" in env_data:
+            return env_data["env"].get("TAVILY_API_KEY")
+        # Fallback to flat structure: {"TAVILY_API_KEY": "..."}
+        return env_data.get("TAVILY_API_KEY")
+    except (json.JSONDecodeError, IOError):
+        return None
+
+
+def get_api_key(api_key: Optional[str] = None) -> str:
+    """Get Tavily API key from various sources."""
+    # Priority: parameter > env var > .env file
+    if api_key:
+        return api_key
+    
+    env_key = os.environ.get("TAVILY_API_KEY")
+    if env_key:
+        return env_key
+    
+    env_file_key = get_tavily_key_from_env_file()
+    if env_file_key:
+        return env_file_key
+    
+    raise ValueError(
+        "Tavily API key required. Set via one of:\n"
+        "  1. TAVILY_API_KEY environment variable\n"
+        "  2. ~/.openclaw/.env file (JSON format: {\"env\": {\"TAVILY_API_KEY\": \"...\"}})\n"
+        "  3. Pass as api_key parameter\n"
+        "\nGet your API key at: https://tavily.com"
+    )
+
+
+def tavily_search(
+    query: str,
+    max_results: int = 5,
+    search_depth: str = "basic",
+    include_answer: bool = False,
+    include_images: bool = False,
+    api_key: Optional[str] = None
+) -> Dict[str, Any]:
+    """
+    Search using Tavily AI Search API.
+    
+    Args:
+        query: Search query string
+        max_results: Number of results to return (1-20)
+        search_depth: "basic" or "advanced"
+        include_answer: Include AI-generated answer
+        include_images: Include image URLs
+        api_key: Tavily API key (optional, auto-detected from env/config)
+    
+    Returns:
+        Dictionary containing search results
+    """
+    api_key = get_api_key(api_key)
+    
+    try:
+        import requests
+    except ImportError:
+        raise ImportError("requests package required. Install with: pip install requests")
+    
+    url = "https://api.tavily.com/search"
+    
+    payload = {
+        "api_key": api_key,
+        "query": query,
+        "max_results": min(max(max_results, 1), 20),
+        "search_depth": search_depth,
+        "include_answer": include_answer,
+        "include_images": include_images,
+    }
+    
+    response = requests.post(url, json=payload, timeout=30)
+    response.raise_for_status()
+    
+    return response.json()
+
+
+def format_results(results: Dict[str, Any]) -> str:
+    """Format search results for display."""
+    output = []
+    
+    if "answer" in results and results["answer"]:
+        output.append("=" * 60)
+        output.append("AI ANSWER")
+        output.append("=" * 60)
+        output.append(results["answer"])
+        output.append("")
+    
+    output.append("=" * 60)
+    output.append("SEARCH RESULTS")
+    output.append("=" * 60)
+    output.append(f"Query: {results.get('query', 'N/A')}")
+    output.append("")
+    
+    for i, result in enumerate(results.get("results", []), 1):
+        output.append(f"{i}. {result.get('title', 'No title')}")
+        output.append(f"   URL: {result.get('url', 'N/A')}")
+        
+        if result.get('published_date'):
+            output.append(f"   Published: {result['published_date']}")
+        
+        if result.get('score'):
+            output.append(f"   Relevance: {result['score']:.2f}")
+        
+        content = result.get('content', '')
+        if content:
+            # Truncate long content
+            if len(content) > 300:
+                content = content[:297] + "..."
+            output.append(f"   {content}")
+        
+        output.append("")
+    
+    return "\n".join(output)
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Tavily AI Search")
+    parser.add_argument("query", help="Search query")
+    parser.add_argument("--max-results", type=int, default=5, help="Number of results (1-20)")
+    parser.add_argument("--depth", choices=["basic", "advanced"], default="basic", help="Search depth")
+    parser.add_argument("--answer", action="store_true", help="Include AI-generated answer")
+    parser.add_argument("--images", action="store_true", help="Include images")
+    parser.add_argument("--json", action="store_true", help="Output raw JSON")
+    
+    args = parser.parse_args()
+    
+    try:
+        results = tavily_search(
+            query=args.query,
+            max_results=args.max_results,
+            search_depth=args.depth,
+            include_answer=args.answer,
+            include_images=args.images
+        )
+        
+        if args.json:
+            print(json.dumps(results, indent=2, ensure_ascii=False))
+        else:
+            print(format_results(results))
+    
+    except ValueError as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+    except Exception as e:
+        print(f"Search failed: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

--
Gitblit v1.9.1