debugging-methodology
debugging-methodology is a Root-cause investigation skill for AI agents, published by UnpaidAttention in the fable5-methodology repository on GitHub. Skillspace rates debugging-methodology D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Step-by-step procedure for diagnosing and fixing failures — reproduce, read, hypothesize, bisect, fix, regression-test. Trigger this whenever something does not work as expected — a bug report, a failing or flaky test, a crash, an error message, wrong output, "it worked yesterday", or unexpected behavior during your own implementation. Trigger BEFORE proposing any fix. Do NOT trigger for building new features (use task-planning) or for the moment you realize your overall approach is wrong rather than the code (use course-correction).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 83
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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