adversarial-pairing
adversarial-pairing is a Multi-agent review & consensus skill for AI agents, published by liza-mas in the liza repository on GitHub. Skillspace rates adversarial-pairing C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Coordinate Pairing-mode doer/reviewer sessions through a Markdown blackboard. Use when the user invokes /adversarial-pairing with role and blackboard-path arguments or asks multiple pairing agents to coordinate plan review, implementation, staged code review, and follow-up review rounds without §BRAND_NAME_TITLE§ multi-agent mode.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 322
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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