debug-methodology
debug-methodology is a Root-cause investigation skill for AI agents, published by kilolonion in the excelmanus repository on GitHub. Skillspace rates debug-methodology F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Systematic debugging and problem-solving methodology. Activate when encountering unexpected errors, service failures, regression bugs, deployment issues, or when a fix attempt has failed twice. Also activate when proposing ANY fix to verify it addresses root cause (not a workaround). Prevents patch-chaining, wrong-environment restarts, workaround addiction, and "drunk man" random fixes.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 28
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.
Our review
- Architecture
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
What the scanner flagged
- instructs to hide actions from user
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.