evidence-driven-debugging
evidence-driven-debugging is a Root-cause investigation skill for AI agents, published by duthaho in the claudekit repository on GitHub. Skillspace rates evidence-driven-debugging D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use during active debugging when you have a hypothesis to test or need to instrument a running system. Activate for keywords like "debug", "instrument", "log", "trace", "breakpoint", "what's happening at runtime", "production behavior". Pair to investigate-root-cause for the doing-it phase. Always record what you observed -- never debug entirely "in your head" without leaving evidence behind.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 98
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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