adversarial-review
adversarial-review is a Change & PR review skill for AI agents, published by sendbird in the cc-plugin-codex repository on GitHub. Skillspace rates adversarial-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run a design-challenging Claude Code review of local git changes in this repository. Args: --wait, --background, --base <ref>, --scope <auto|working-tree|branch>, --model <model>, --effort <low|medium|high|xhigh|max>, [focus text]. Defaults to opus + xhigh effort. Use only when the user wants stronger scrutiny than a normal review, such as explicit tradeoff challenge, risky-change review, or custom focus text.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 116
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
- Apache-2.0
- Adoption
- Adopted by 1 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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