performance-review
performance-review is a Backend performance & caching skill for AI agents, published by mastra-ai in the mastra repository on GitHub. Skillspace rates performance-review C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Performance-focused code review for identifying bottlenecks and optimization opportunities
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 27,999
Placed #6 of 6 in the judged category final for Backend performance & caching.
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #6 of 6 in the judged category final for Backend performance & caching.
- Trigger
60 60 - Instructions
50 50 - Specificity
55 55 - Safety
85 85 - Disclosure
78 78 - Maintenance
50 50
Lean checklist-plus-reference structure, but the checklist itself never explains how to conduct the review or what output to produce.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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