Skill Smoke Test Author
v1.0.0自动为 Skill 生成 smoke test 模板，覆盖依赖缺失、空输入和标准路径。；use for skills, testing, smoke-test workflows；do not use for 写无法执行的测试, 忽略失败路径.
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byvx：17605205782@52yuanchangxing
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included resources and code: the repo contains a template, spec, examples, tests, and a Python script that generates structured reports and audits. Requiring only python3 is proportionate to this functionality.
Instruction Scope
SKILL.md instructs running the bundled scripts or generating output from bundled templates. The included script reads arbitrary files/directories you point it at (files under the given input path), lists and samples textual files, and emits findings. That behavior fits an auditing/smoke-test tool, but it means the skill can read any local files you give it (so do not pass sensitive system directories or files).
Install Mechanism
No install spec and only a python3 requirement; the skill is instruction-only with a local script. No network downloads or third-party package installs are present.
Credentials
No environment variables, credentials, or config paths are requested. The script only uses local filesystem access, standard library modules, and input arguments — proportional to the stated purpose.
Persistence & Privilege
always is false and the skill does not request any persistent platform privileges. It can be invoked by the model (normal for skills), but it doesn't modify other skills or global configuration.
Assessment
This skill is coherent with its stated purpose and appears safe to inspect or run on non-sensitive project directories. Before running: (1) avoid pointing the script at home (/home), root (/), or other system directories that may contain secrets; run it only against the project or a checked-out workspace. (2) Use the --dry-run option or redirect output to files you can audit. (3) Review generated output for any accidental inclusion of secrets (the script includes heuristics to detect common secret patterns but may surface masked snippets). (4) If you plan to let an autonomous agent invoke this skill, limit the agent's input paths to controlled directories to prevent unintended local file exposure.Like a lobster shell, security has layers — review code before you run it.
latestvk97de7m60mfkr132f007azvp61839fx0
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧪 Clawdis
OSmacOS · Linux · Windows
Binspython3