audit-sibling-divergence
audit-sibling-divergence is a Codebase audits & code health skill for AI agents, published by ben-manes in the caffeine repository on GitHub. Skillspace rates audit-sibling-divergence D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Differential audit comparing matched code paths that should behave identically. Spawns one auditor per sibling pair (sync/async, bounded/unbounded, view consistency, bulk vs single, generated node variants, read fast vs slow, adapter conformance) and requires a concrete witness scenario where the two paths diverge observably.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 17,753
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Audits Caffeine's own matched code paths for divergence
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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