performance-engineering
performance-engineering is a Web performance & accessibility skill for AI agents, published by openchamber in the openchamber repository on GitHub. Skillspace rates performance-engineering D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Use when implementing or reviewing code on interaction, render, event, polling, synchronization, list-processing, store-selector, cache, indexing, or high-volume data paths; when users report lag, freezes, jank, high CPU, memory growth, slow startup, or performance regressions; and before accepting memoization or caching as a fix for repeated work.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 6,423
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.