adversarial-critique
adversarial-critique is a Multi-agent review & consensus skill for AI agents, published by leonletto in the thrum repository on GitHub. Skillspace rates adversarial-critique F (44/100) and it passed the safety scan; the rating is based on static analysis only.
Use when an implementer is blocked mid-work by a design flaw, contradiction, or unforeseen fork with 2-3 ways to resolve it - produces a defended pick that unblocks the work and leaves an audit trail so the decision can be revisited if it later proves wrong
- Grade
- F
- Quality
- 44 / 100
- Safety
- Passed
- GitHub stars
- 28
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
- 69 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- 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
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