adversarial-analysis
adversarial-analysis is a Legal research & case law skill for AI agents, published by fedec65 in the bettercallclaude repository on GitHub. Skillspace rates adversarial-analysis D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Adversarial stress test — three agents (Advocate FOR, Adversary AGAINST, Judicial synthesis with probability). Trigger when: user wants to stress-test a position, check weaknesses before filing, or requests adversarial review. Also option '4' in /legal menu. Do NOT trigger for: initial research (swiss-legal-research), strategy (swiss-legal-strategy), or drafting — this is a quality layer, not first-pass analysis.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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