ad-deepen
ad-deepen is an MLOps & model serving skill for AI agents, published by alexandremendoncaalvaro in the CorridorKey-Runtime repository on GitHub. Skillspace rates ad-deepen D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Surface deepening opportunities in the codebase using the Ousterhout/Feathers vocabulary from WORKFLOW §8 (Module / Interface / Depth / Seam / Adapter / Leverage / Locality). Three-phase process — explore organically, present numbered candidates with deletion-test framing, grilling loop on the chosen candidate. Pairs with `ad-drift` (audit detects drift; deepen proposes refactors). Triggers on "deepen", "refactor for depth", "shallow module", "deletion test", "two-adapters rule", "interface is the test surface", "leverage", "locality", "/ad-deepen". Profile-scoped to `team` and `mature` only — premature for `poc` and `solo` per ADR-0020 §4.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 749
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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