Summary
Audits bash test scripts in `tests/manual/` against seven quality dimensions: harness adoption, golden file completeness, config sourcing, fail-fast behavior, template compliance, idempotency, and documentation. It's a specialized L3 worker that scores test evidence quality (X/10) and flags scripts that need rewrites versus ones you can keep. The two-layer detection is smart about context: it won't ding setup scripts for missing golden files or complain about harness adoption when no shared harness exists. Use this when you've got manual test suites producing evidence artifacts and need an audit of whether they're actually reproducible and useful. The severity weighting is reasonable: missing fail-fast or golden files gets flagged HIGH, template divergence is MEDIUM, missing READMEs are LOW.
Install to Claude Code
npx -y skills add levnikolaevich/claude-code-skills --skill ln-636-manual-test-auditor --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
