adversary
adversary is a Plan & work review gates skill for AI agents, published by atelier-fashion in the adlc-toolkit repository on GitHub. Skillspace rates adversary D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Adversarial review of any artifact — a spec, architecture doc, task breakdown, diff/PR, plan, README, or plain prose claim. Assumes the artifact is wrong, broken, or incomplete, tries to prove it, and reports only the findings that survive its own refutation attempts. Read-only and artifact-agnostic. Use when the user says "attack this", "adversary", "red-team this spec/plan/PR", "try to break this", "what's wrong with this requirement", or wants a skeptical-by-default pass that hunts omissions, not just bugs in what was written.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 155
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
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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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