| name | think-red-team-light |
| description | Produces an adversarial critique by constructing the strongest case against a proposal or thesis (the best objections an intelligent adversary would raise), then judging which objections actually land and what would rebut them. Use when a plan has too-easy consensus and needs pressure-testing, or to steelman the opposition before committing. |
| license | Apache-2.0 |
| metadata | {"id":"thinking-framework-skills.red-team-light","family":"assumption-and-belief-challenge","evidence-tier":"M","version":"0.1.0","standard":"0.8"} |
Red Team Light
Plans that reach easy consensus go untested. This skill suspends the cooperative stance and constructs the strongest case against a single proposal or thesis: the best objections a motivated, intelligent adversary would raise (steelman, not strawman), then judges which land and what would rebut them. The output is an adversarial critique. Honest limit: an AI red team is constructed, role-played dissent, and role-played dissent does not match genuine dissent (Nemeth) - so for high stakes it flags whether a real dissenting view should be sought, not just the model's.
When to Use
- A plan has too-easy consensus and nobody is really arguing the other side.
- Before committing to a strong thesis or recommendation.
- To pressure-test the agent's own confident output.
When NOT to Use
- When the team needs alignment and buy-in more than another critique.
- When you need failure causes over time (use premortem) or a rounded multi-lens view (use parallel perspectives).
- If it would only produce performative contrarianism rather than the strongest objections.
Instructions
When asked to red team, follow these steps:
- State the thesis fairly in one or two sentences - the proposal being attacked, in its strongest honest form.
- Build the strongest objections. Adopt a genuinely adversarial stance and construct the best case against it: where it is weakest, what an informed critic or competitor would attack, what evidence cuts against it. Steelman, do not strawman.
- Rank by force. Order the objections by how much damage they do if true, not by how easy they are to raise.
- Test each. For the top objections, state how the thesis would have to answer them, and whether it plausibly can.
- Verdict. Say which objections are decisive (would sink or substantially change the plan) and which are survivable. For high stakes, note whether a real, independent dissenting view should be sought, given this is constructed dissent.
- Emit the critique per
references/TEMPLATE.md.
Output Format
Use the template in references/TEMPLATE.md. The deliverable is the ranked objections with verdicts, not prose.
Quality Checklist
Before finalizing, verify:
Evidence
Tier P (flagged). Adversarial review (red teaming, from military/intelligence/security practice) surfaces objections cooperative review misses. But Nemeth et al. (2001) found role-played dissent does not replicate the reasoning gains of authentic dissent, and an AI red team is constructed dissent, so it is a blind-spot finder, not a substitute for a real dissenter. Evidence is transferred from human contexts, not AI-validated. Full grading: evidence/dossier.md.
Examples
See references/EXAMPLE.md for a completed critique.