RedTeam

RedTeam is a Structured reasoning & decision frameworks skill for AI agents, published by danielmiessler in the LifeOS repository on GitHub. Skillspace rates RedTeam C (79/100) and it passed the safety scan; a judge model has also reviewed it.

Adversarial analysis deploying parallel expert agents to stress-test ideas, strategies, and plans — decomposes into atomic claims, attacks them, then steelmans and counter-argues, producing severity-ranked findings with remediation. USE WHEN red team, attack idea, counterarguments, critique, stress test, devil's advocate, find weaknesses, break this, poke holes, strongest objection. NOT FOR collaborative debate to find best path (use Council).

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
16,717

Placed #4 of 6 in the judged category final for Structured reasoning & decision frameworks.

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
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. General adversarial critique method anyone can apply

Judge review

Placed #4 of 6 in the judged category final for Structured reasoning & decision frameworks.

  • Trigger7575
  • Instructions7878
  • Specificity7878
  • Safety4848
  • Disclosure7272
  • Maintenance6868
A precisely specified deliverable (steelman plus ranked, severity-ordered counter-argument) undercut by a coercive, unconditional mandatory-notification step.
Sharper triggers and a precisely specified deliverable (steelman plus ranked counter-argument) than its sibling, but carries the same coercive mandatory-notification pattern.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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