ad-tdg
ad-tdg is a Test-driven development skill for AI agents, published by alexandremendoncaalvaro in the CorridorKey-Runtime repository on GitHub. Skillspace rates ad-tdg D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Outcome-based prompting per WORKFLOW.md §9. Give the agent the finish line first, not the path. Five steps — confirm regime, ground truth pair, Test Dependency Map, three approaches, pick by one criterion, implement and verify. Triggers on "outcome-based", "TDG", "ground truth", "expected output", "three approaches", "pick by criterion", "test dependency map", "TDM", "before modifying", "tests covering this file", "give the finish line". Routes to `ad-spike` if the technique itself is uncertain. No file written; output is the verified implementation that lands through normal commits.
- Grade
- D
- Quality
- 65 / 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
- 95 / 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
Also published in 1 other repo
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