diagnose
diagnose is a Root-cause investigation skill for AI agents, published by DawidWraga in the davstack repository on GitHub. Skillspace rates diagnose D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Disciplined diagnosis loop for hard bugs and performance regressions. Frame → reproduce the USER's failure → hypothesis tree → pre-registered experiment → instrument (delegated) → interpret with a confound gate → root cause → fix-as-hypothesis. Backed by a local Sentry log-ingest sink + `diag` query CLI and a Vitest daemon for fast unit/storybook reruns. Use when the user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 78
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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