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RedTeam

Adversarial analysis deploying parallel expert agents to stress-test ideas, strategies, and plans — attacks atomic claims, then steelmans and counter-argues, with severity-ranked findings and remediation; also tests an idea or investment against 11 persistent world models from 6 months to 50 years (Fast/Standard/Deep), and refreshes and reports on those models. USE WHEN red team, attack idea, counterarguments, critique, stress test, devil's advocate, find weaknesses, break this, poke holes, strongest objection, world threat model, world model, test idea against the future, how will this hold up in 10 or 20 years, time horizon, long-term risk, update world models, show world models. NOT FOR collaborative debate to find best path (use Council), or threat modeling your own estate (ThreatModel).

LifeOS/install/skills/RedTeam/SKILL.md

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# RedTeam

**Contents:** Ideal State · Intent Routing · Data & Config · Gotchas · Examples

Attacks ideas, strategies, plans, designs and judgment-layer question sets to find their weak points before reality does. It breaks an argument into atomic claims, attacks each from several adversarial angles, and ranks what survives by severity. A full run splits the attackers across model vendors and ends in a steelman plus the strongest counter-argument; a quick run returns the few strongest objections, often inline inside a subagent that may not spawn agents. Targets arguments, not network vulnerabilities. The two intents compose: a synthesis from AdversarialValidation can be stress-tested with ParallelAnalysis.

It also attacks an idea through time. A persistent world-model harness (ported from the retired WorldThreatModel skill, 2026-10-10) stress-tests an idea, strategy, or investment against 11 time horizons from 6 months to 50 years. Each horizon is a deep (~10 page) world model covering geopolitics, technology, economics, society, environment, security, and wildcards. Three speed tiers: Fast (~2 min, single synthesizer), Standard (~10 min, 11 parallel agents plus RedTeam and FirstPrinciples), Deep (~1 hr, adds Research and Council). TestIdea returns a probability-weighted scenario matrix across all 11 horizons; UpdateModels refreshes the models and ViewModels reports their status and freshness.

## Ideal State

- Every attack lands on the argument's load-bearing claims, and the headline finding is the flaw that would collapse the structure, never a pile of nitpicks.
- Findings are ranked by severity with noise discarded, each names the claim it breaks, and each weakness carries a remediation that fits the stated constraints.
- Length follows the requested depth: a quick or inline pass returns the 4-6 strongest objections; a full stress test returns a steelman and a counter-argument (8 points each) from attackers split across model vendors; designing something new returns one synthesized solution from competing proposals.
- When the caller says inline or no agents, nothing is dispatched: no `Inference.ts` call and no `Agent` spawn.