mpk-lever-cleanup
mpk-lever-cleanup is a Model training & evaluation skill for AI agents, published by mirage-project in the mirage repository on GitHub. Skillspace rates mpk-lever-cleanup D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Use when a batch of env-gated (`#ifdef MPK_DSV3_*` / `os.environ`-controlled, default-OFF) MPK optimization levers needs to be consolidated into a single clean code path for a PR: hard-wire every winning lever as the default, delete the legacy `#else` branches, remove the env vars that select new-vs-old logic, revert dead levers that measured KILL/NULL/regress, delete diagnostic probes, then commit one clean version. Applies to the wrap-up stage where the optimization work has settled and is being merged to mainline. Not for the exploration phase (levers should stay env-gated default-OFF there) or for runtime/execution-model changes.
- Grade
- D
- Quality
- 62 / 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
- 84 / 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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