claude-skill-model-fingerprint: 这是一个为 Claude Code / AI Agent 设计的诊断技能。它通过自省式分析和多项特定的压力测试

by rt22766 · Claude Skill · ★ 127

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Security audit verdict: SAFE · quality 57/100

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.

Quick Facts

Stars127
Forks3
CategoryClaude Skill
Quality Score57/100
Open Issues1
Last Updated2026-03-24
Created2026-03-10
Platformsclaude-code
Est. Tokens~7k

About claude-skill-model-fingerprint

claude-skill-model-fingerprint 一个用于 Claude / Claude Code 环境的模型鉴伪与指纹检测 Skill。 它默认通过 指纹、Magic String、综合知识与自我认知压力测试来快速判断当前模型是否为真实 Claude;只有在需要时才进一步加载深度审查规则。 Status: Experimental / Heuristics only 本仓库收录的是经验性检测方法,不代表 Anthropic 官方认证标准。请将多个信号结合使用,不要把任何单一测试结果当成唯一结论。 功能特性 身份一致性检查:识别自我声明、厂商信息和版本信息是否互相冲突。 工具生态检查:观察工具列表是否符合 Claude Code 常见环境。 指纹探测:检测 Claude 4.6 系列常见的上下文指纹与渠道特征。 Magic String...

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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:

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