adversarial-squad
adversarial-squad is a Multi-agent review & consensus skill for AI agents, published by Priivacy-ai in the spec-kitty repository on GitHub. Skillspace rates adversarial-squad D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Deploy a bounded, profile-loaded adversarial review squad at an SDD point-cut (post-spec, post-plan, post-tasks, pre-merge, or an ad-hoc decision) so independent doctrine lenses converge on findings one reviewer would miss. Triggers: "deploy a squad", "adversarial squad", "post-tasks anti-laziness pass", "pre-spec investigation squad", "brownfield check", "second opinion on this design", "review squad", "run a multi-lens review". Does NOT handle: the implement-review loop (use spec-kitty-implement-review), spec/plan/tasks generation, or direct code editing by the orchestrator. It is an optional, charter/memory-activated enrichment — it never gates a mission.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,411
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.