v2-perf-iteration
v2-perf-iteration is an MLOps & model serving skill for AI agents, published by mirage-project in the mirage repository on GitHub. Skillspace rates v2-perf-iteration D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Runtime-V2 performance-iteration workflow. Use when running a perf-optimization campaign or iteration on the v2 runtime (--use-v2) — measuring a baseline, ranking bottlenecks, planning levers, implementing, re-measuring, and landing/recording the verdict. Drives the loop MEASURE→ANALYZE→PLAN→NEXT-MOVE→REVIEW→IMPLEMENT→VALIDATE+RE-MEASURE→LOOP-OR-LAND→RECORD with the mpk-* subagent roster, the v2 profiler/perfetto toolchain, and the TIER-1 TP8 verdict discipline.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 2,490
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
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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