claude-model-fingerprint: Claude Code Skills 合集：公众号文章、会议方法论提炼、多视角对话素材、文字稿润色等 8 个 Skill

by bi-boo · Claude Skill · ★ 76

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install claude-model-fingerprint

git clone https://github.com/bi-boo/claude-model-fingerprint.git /tmp/claude-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aianthropicapi-securityclaudedetectionfingerprintskill

Quick Facts

Stars76
Forks4
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score63/100
Last Updated2026-03-17
Created2026-03-06
Platformsclaude-code, python
Est. Tokens~3k

About claude-model-fingerprint

Claude Code Skills 我的个人 Claude Code Skill 合集——解决内容创作、会议处理、播客下载等日常工作场景。 English version below Skill 列表 内容创作 会议与文字处理 工具与效率 诊断 安装方法 安装单个 Skill 一键安装所有 Skill 手动安装（推荐） 使用方式 安装后在 Claude Code 对话中直接调用： 或用自然语言触发，Claude 会自动识别对应的 Skill。 环境变量配置 部分 Skill 依赖环境变

Compatible Skills

These tools work well together with claude-model-fingerprint for enhanced workflows:

  • Agentic-SEO-Skill — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • openclaw-skills-security — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • x64dbg-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
  • recall — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • nopua — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools