perf-ops
perf-ops is a Runtime diagnostics & profiling skill for AI agents, published by 0xDarkMatter in the claude-mods repository on GitHub. Skillspace rates perf-ops C (79/100) and it passed the safety scan; the rating is based on static analysis only.
Performance profiling and optimization orchestrator - diagnoses symptoms, dispatches skill-preloaded profiling agents, manages before/after comparisons. Triggers on: performance, profiling, flamegraph, pprof, py-spy, clinic.js, memray, heaptrack, bundle size, webpack analyzer, load testing, k6, artillery, vegeta, locust, benchmark, hyperfine, criterion, slow query, EXPLAIN ANALYZE, N+1, caching, optimization, latency, throughput, p99, memory leak, CPU spike, bottleneck.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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
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