quality-targets-converge
quality-targets-converge is a Test suite operations & coverage skill for AI agents, published by bdfinst in the agentic-dev-team repository on GitHub. Skillspace rates quality-targets-converge D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-workflow convergence worker. Closes the gap between the current test suite and the four quality targets (line+branch coverage ≥ 90%, zero surviving mutants, 100% deterministic, fastest pre-merge wall-clock achievable on-machine). Each iteration reads the latest measurements, picks the largest gap, and dispatches the smallest action that moves it. Stops only when all four targets are green or each gap is explicitly waived by the operator with a recorded reason. Called by `/test-improve` (Phase 6) via `--workflow test-improve`.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 252
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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