convex-performance-audit
convex-performance-audit is a Backend performance & caching skill for AI agents, published by openclaw in the clawhub repository on GitHub. Skillspace rates convex-performance-audit F (46/100) and it passed the safety scan; the rating is based on static analysis only.
Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.
- Grade
- F
- Quality
- 46 / 100
- Safety
- Passed
- GitHub stars
- 9,415
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
- 72 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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