autoresearch-redteam-discovery
autoresearch-redteam-discovery is a Penetration testing & red team skill for AI agents, published by henrymao2004 in the Auto-research-red-teaming repository on GitHub. Skillspace rates autoresearch-redteam-discovery D (61/100) and it passed the safety scan; the rating is based on static analysis only.
One iteration of the autoresearch red-team discovery loop (Stage 1). Orchestrator dispatches the active researcher agent (default 4 — redteam-hypothesizer, redteam-attack-designer, redteam-reflector, redteam-critic) on the (victim, scenario) cell named in RUN_HINT.md. Meant to be called repeatedly via /loop.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 24
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
- 87 / 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
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