audit-iteration
audit-iteration is a Mobile performance & profiling skill for AI agents, published by ben-manes in the caffeine repository on GitHub. Skillspace rates audit-iteration D (63/100) and it passed the safety scan; a judge model has also reviewed it.
Analyze concurrent iteration and view consistency guarantees
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 17,753
Placed #6 of 6 in the judged category final for Mobile performance & profiling.
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- 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 cache implementation internals for concurrency defects
Judge review
Placed #6 of 6 in the judged category final for Mobile performance & profiling.
- Trigger
25 25 - Instructions
65 65 - Specificity
88 88 - Safety
75 75 - Disclosure
30 30 - Maintenance
30 30
A rigorous adversarial checklist for one specific cache library's iterator consistency, but the name and description give no hint of that scope and there's no packaging beyond a dense paragraph.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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