performance-reasoning
performance-reasoning is a Runtime diagnostics & profiling skill for AI agents, published by xD4O in the praxis repository on GitHub. Skillspace rates performance-reasoning D (59/100) and it passed the safety scan; the rating is based on static analysis only.
MANDATORY optimization protocol. You MUST invoke this skill when something works but needs to be faster, cheaper, or smaller — latency reduction, cost cuts, memory limits, throughput targets. Do NOT change code before capturing a baseline measurement that names the actual bottleneck. Do NOT optimize a guessed hot spot. Invoke this BEFORE touching any code on an OPTIMIZE problem.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 21
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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.