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Ultimate Skills Finder

作者 Broedkrummen · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ultimate-skills-finder
功能描述
The ultimate multi-source OpenClaw/agent skills finder. Searches across ClawHub, skills.sh, Rush registry, LobeHub, SkillsMP, llmbase.ai, skillsllm.com, and...
使用说明 (SKILL.md)

Ultimate Skills Finder 🔍

Searches 5 sources (ClawHub, SkillsMP, awesome-list, master-skills, skills.sh) for OpenClaw/agent skills, cross-references results, and returns ranked deduplicated findings with install instructions and optional security scanning.

Quick Start

python3 scripts/find_skill.py "web scraping" --scan
python3 scripts/find_skill.py "pdf editor"
python3 scripts/find_skill.py "seo tools" --popular
python3 scripts/find_skill.py "github" --scan --install

Sources Searched

# Source Type Skills CLI/Tool
1 ClawHub (clawhub.ai) Primary registry ~20,000 clawhub search
2 skills.sh (Vercel) Directory ~87,000 npx skills add
3 SkillsMP (skillsmp.com) Aggregator 1,000,000+ REST API
4 GitHub: awesome-openclaw-skills Curated 5,200+ README
5 GitHub: openclaw-master-skills Curated 560+ README

Workflow

Step 1: Understand the Need

When the user says "find me a skill for X", identify:

  • The specific task/domain (e.g., "web scraping", "PDF editing", "SEO")
  • The platform (OpenClaw, Claude Code, Cursor, etc.)
  • Whether they want security scanning

Step 2: Run the Finder Script

python3 scripts/find_skill.py "\x3Cquery>" [options]

Options:

  • --scan — Security-scan results via Gen Digital
  • --popular — Sort by popularity/install count
  • --limit N — Max results per source (default: 5)
  • --json — Output as JSON for programmatic use
  • --install — Show install commands prominently
  • --source \x3Cname> — Only search specific source(s)

Step 3: Interpret Results

The script outputs a ranked, deduplicated table:

🔍 Results for "web scraping" (6 found across 9 sources)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🥇 agent-browser-cli          ★★★★☆  12.4k ⬇  [ClawHub, SkillsMP, llmbase]
   Headless browser automation with accessible tree
   → clawhub install agent-browser-cli
   → npx skills add user/agent-browser-cli

🥇 firecrawl                   ★★★★☆  8.2k ⬇   [ClawHub, GitHub awesome]
   Web scraping with Firecrawl API
   → clawhub install firecrawl

🥈 playwright-mcp             ★★★☆☆  3.1k ⬇   [ClawHub, SkillsMP]
   Browser automation via Playwright MCP
   → clawhub install playwright-mcp

🔒 Security: 2/3 skills scanned SAFE. 1 pending review.

Step 4: Security Scan (Optional)

Run with --scan to check skills via Gen Digital's API:

python3 scripts/find_skill.py "email" --scan

The scanner checks each unique skill URL and returns:

  • SAFE — OK to install
  • analysis_pending — Not yet reviewed, caution advised
  • WARNING / DANGEROUS / MALICIOUS — Do not install

Step 5: Present & Install

Present the top 3-5 most relevant results:

  1. Skill name + description
  2. Sources where it was found (confirms it's well-known)
  3. Install commands (primary method)
  4. Security verdict if scanned

Then ask which one(s) to install and do it:

# ClawHub
clawhub install \x3Cslug>

# skills.sh
npx skills add \x3Cowner/repo>

# Manual (from GitHub)
git clone \x3Crepo> ~/.openclaw/workspace/skills/\x3Cname>

Cross-Reference Logic

Results are deduplicated by fuzzy name matching across all sources. A skill found in 3+ sources gets a confidence boost. The ranking formula:

score = (source_count * 0.3) + (install_count_normalized * 0.4) + (source_authority * 0.3)

Where:

  • source_count: How many registries list this skill (0-10)
  • install_count_normalized: Popularity within its source (0-1)
  • source_authority: Official ClawHub > curated lists > aggregators > individual repos

When No Results Found

If the finder returns nothing:

  1. Try a broader or synonym query (e.g., "email" → "smtp" → "messaging")
  2. Check if the skill might exist under a different ecosystem
  3. Offer to create a custom skill using skill-creator
安全使用建议
This appears safe to use as a search aid, but treat any suggested installation as a separate trust decision. Before installing a recommended skill, confirm the source, run the optional scan when available, and approve only the exact install command for the skill you want.
功能分析
Type: OpenClaw Skill Name: ultimate-skills-finder Version: 1.0.0 The ultimate-skills-finder bundle is a utility designed to search, deduplicate, and rank OpenClaw agent skills from various public registries and GitHub repositories. The core logic in scripts/find_skill.py uses standard asynchronous HTTP requests to fetch data from sources like ClawHub, SkillsMP, and curated GitHub lists, and includes an optional security scanning feature via an external API (ai.gendigital.com). While the script interacts with the local filesystem to index installed skills and executes the 'clawhub' CLI via subprocess, these actions are strictly aligned with its stated purpose and do not exhibit signs of malicious intent, data exfiltration, or unauthorized persistence.
能力标签
cryptocan-make-purchasesrequires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is coherent with the artifacts: it searches registries, ranks results, and can show install commands. The notable capability is that it may help install third-party skills, which can change the user's agent environment.
Instruction Scope
The instructions say to present results and ask the user which skill(s) to install before doing so. That provides user control, but installation remains a high-impact action.
Install Mechanism
There is no install spec, but the skill includes and documents a local Python script and command examples using clawhub, npx, and git. This is purpose-aligned, though the required tools are not fully reflected in the metadata.
Credentials
The visible code and documentation disclose external lookups to registries, GitHub, and Gen Digital's scan API. This is proportionate for a skill finder, and no artifact-backed credential or purchase flow was found.
Persistence & Privilege
The visible artifacts show no privileged persistence or background behavior. A cache file path is defined in the visible script, but there is no evidence of sensitive long-term storage or autonomous execution.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ultimate-skills-finder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ultimate-skills-finder 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release. Searches ClawHub, SkillsMP, awesome-list, and master-skills. Cross-references, deduplicates, ranks, and security scans via Gen Digital.
元数据
Slug ultimate-skills-finder
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ultimate Skills Finder 是什么?

The ultimate multi-source OpenClaw/agent skills finder. Searches across ClawHub, skills.sh, Rush registry, LobeHub, SkillsMP, llmbase.ai, skillsllm.com, and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 67 次。

如何安装 Ultimate Skills Finder?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ultimate-skills-finder」即可一键安装,无需额外配置。

Ultimate Skills Finder 是免费的吗?

是的,Ultimate Skills Finder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ultimate Skills Finder 支持哪些平台?

Ultimate Skills Finder 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ultimate Skills Finder?

由 Broedkrummen(@broedkrummen)开发并维护,当前版本 v1.0.0。

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