patent-disclosure-skill@4.5.0
CAUTION· install onlyPublisher claims: "中国专利技能:挖掘专利点与编写交底书(发明/实用/外观),把已有交底改写成申请文件四件套,也可按材料交底申请一起做,按著录字段检索公布公告,通俗解读专利,对照审查口径出政策简报,辅助审查答复。| China patents skill: mine patent points and draft disclosures, rewrite an existing disclosure into application documents, or chain disclosure-then-application from inventor materials in one pass (ask wh" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-07 and scored it 79/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Hidden zero-width characters detected; Hidden zero-width characters detected; Hidden zero-width characters detected. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
# patent_reader.sharedFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.# patent_reader.analyzeFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.# patent_reader.extractFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.return subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(cmd, **kwargs)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.落盘约定(交底):案件工作目录 **`figure_plan.yaml`**(或等价 `figure_plan.json`),与 `structure_schema.*` / `appearance_schema.*` 同级(常见 `outputs/{案件标识}/`)。Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.落盘:案件工作目录 **`formula_plan.yaml`**(或 `.json`),常见 `outputs/{案件标识}/`。Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.proc = subprocess.run(cmd, env=env)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.check_output(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.脚本会:探测本机 skill 目录 → 已装则用;未装则请求 GitHub [`virgiliojr94/book-to-skill`](https://github.com/virgiliojr94/book-to-skill) 的最新 README 安装命令并自动安装;失败则降级 `npx --yes skills add virgiliojr94/book-to-skill`,再失败则 `gFix: Pin versions and sources; vendor anything fetched at install time.return subprocess.run(cmd, **kwargs)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.check_output(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(cmd, **kwargs)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.check_output(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(cmd, text=True, capture_output=True, timeout=timeout)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.# patent_reader.vaultFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.proc = subprocess.run(cmd, capture_output=True, text=True, timeout=180)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(cmd, **kwargs)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.if npx and "npx" in cmd.split()[0]:Fix: Pin versions and sources; vendor anything fetched at install time.return subprocess.run(cmd, **kwargs)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.if " --yes " not in f" {cmd} " and cmd.startswith("npx "):Fix: Pin versions and sources; vendor anything fetched at install time.r = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.cmd = "npx --yes " + cmd[4:]Fix: Pin versions and sources; vendor anything fetched at install time.return subprocess.run(cmd, **kwargs)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.[--figures-manifest figures/manifest.json] [--output lint.json]Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.r = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.npx = _npx_cmd()Fix: Pin versions and sources; vendor anything fetched at install time.FALLBACK_NPX = f"npx --yes skills add {GITHUB_REPO}"Fix: Pin versions and sources; vendor anything fetched at install time.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
1 point to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim handsomestwei: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Hidden zero-width characters detected≈ +4 on the totalKeep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- File type combined with upload action≈ +2 on the totalRemove the call, or declare the host in frontmatter and explain in the README what is sent and why.
- npx invocation of non-well-known package≈ +2 on the totalPin versions and sources; vendor anything fetched at install time.