adversarial-review
adversarial-review is a Change & PR review skill for AI agents, published by liuchengxu in the dotfiles repository on GitHub. Skillspace rates adversarial-review C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when asked to review code or a design at any granularity — a pull request, an architecture/design proposal, a module, a file, or a whole codebase/repo — "review this PR", "review this repo", "audit this module", "challenge this design", "is this architecture sound", "adversarial review"; especially anything touching trust boundaries, signing/key flows, consensus rules, upgrade/governance logic, protocol APIs, or crate/module boundaries being locked in. DO NOT use for quick working-diff hygiene (use code-review) or prose/document editing passes (use doc-review).
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 213
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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