PatentRadar: 专利侵权分析系统 —— 输入专利公开号,产出竞品侵权分析报告;同时打包成 skill,可被任意 agent 调用

by yuc16 · Codex Skill · ★ 57

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Security audit verdict: SAFE · quality 56/100

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.

agentic-aiclaim-chartclaude-codeclaude-code-skillcodexdsh-pluginfastapiintellectual-propertylegal-techllm-agent

Quick Facts

Stars57
Forks11
LanguagePython
CategoryCodex Skill
Quality Score56/100
Open Issues1
Last Updated2026-08-29
Created2026-05-05
Platformsclaude-code, codex, python
Est. Tokens~19k

About PatentRadar

PatentRadar 专利侵权竞品分析 · 全自动 · 可复核 输入一个专利公开号,自动产出一份律师 / 工程师可直接复核的 claim chart 报告——含可点击的证据 URL、逐特征对比推理,以及"还缺什么 / 下一步去哪查"的可执行建议。 https://github.com/user-attachments/assets/94f8f758-6a43-49a8-b16b-2e04e1d8e110 快速开始 · 架构 · 4 模块工作流 · Skill 模式 · Examples · 评估 为什么需要 PatentRadar 传统侵权排查靠人工:律师团队读专利权 → 拆特征 → 翻竞品手册 → 搜证据 → 写 claim chart,一份高质量报告动辄 2-5 天。 PatentRadar 把这条链路压到 1 小时:4 个模块串行流水线 + 多源搜索 + 多模态证据抓取 +...

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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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