ci-e2e-time-tune
ci-e2e-time-tune is a Build systems & CI pipelines skill for AI agents, published by radixark in the miles repository on GitHub. Skillspace rates ci-e2e-time-tune D (65/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Tune literal `register_cuda_ci(est_time=...)` values in `tests/e2e` from complete GitHub Actions logs produced by `ci-fetch-log`. Use when asked to calibrate E2E timing estimates, produce an evidence-backed runtime CSV, or apply estimate-only changes. Aggregate passed samples by test file, apply a 1.25 safety factor with mandatory upward bucket rounding, and never commit or push changes.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Needs review
- GitHub stars
- 1,731
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Medium-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- suspicious outbound endpoint
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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