发现最适合你需求的 AI 技能
Score and grade AgentSkills across four dimensions: design quality, content quality, security, and usability. Use when asked to score, grade, evaluate, or rate a skill's quality — producing a numeric scorecard with dimension-by-dimension ratings. Triggers on "score this skill", "grade skill", "rate skill quality", "evaluate skill", "skill scorecard", "给技能打分", "技能评分".
【OpenClaw 内部工具 skill】为其他 skill 提供 Python 虚拟环境管理。按 Python 版本号在 ~/.python_env/
技能预检检查器。在安装任何技能前进行安全检查，验证作者声誉、检查恶意脚本、分析权限需求，防止安装恶意技能。
测量 OpenClaw 环境中 Skill 的 token 消耗和性能开销（仅适用于 OpenClaw Agent 环境）。当用户提到「测量」「测试」「性能」「token 消耗」「多少 token」「开销」「成本」「效率」或想要评估、对比、优化某个 skill 的资源使用时，立即使用此 skill。也适用于 skill 发布前的性能验证、多轮测试对比、热/冷缓存分析、以及分析两个 skill 之间消耗差异。英文触发词：measure token cost, performance test, how many tokens, benchmark skill。即使用户没有明确说「skill-perf」，只要涉及 OpenClaw skill 性能分析就应触发。技术实现：通过 OpenClaw 的 sessions_spawn 启动双 subagent 并发测量，自动扣除系统底噪，生成 HTML 报告和置信度评级。
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Meta-skill for skill selection and routing. Use this skill FIRST when you are unsure which skill to use for a task. Provides a decision tree, keyword triggers, and guidance on combining multiple skills for complex workflows. Also use when onboarding to understand the full skill library.
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Scan ClawHub skills for security vulnerabilities BEFORE installing. Use when installing new skills from ClawHub to detect prompt injections, malware payloads, hardcoded secrets, and other threats. Wraps clawhub install with mcp-scan pre-flight checks.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Create, evaluate, improve, benchmark, and publish OpenClaw skills. Use when building a new skill from scratch, iterating on an existing skill, running evals to measure quality, comparing skill versions, or analyzing patterns across installed skills to synthesize new ones. Triggers on: 'create a skill', 'build a skill', 'make a skill', 'eval this skill', 'improve this skill', 'benchmark skill versions', 'analyze skill patterns', 'synthesize skill from patterns', 'package skill', 'publish skill'.
Export any installed OpenClaw skill into a shareable ZIP: detects & stages external runtime files, generates STRUCTURE.md for LLM-guided install. Reads and packages local files only — no network calls, no APIs, no external transmissions.
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