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research-risk

スター19
フォーク0
更新日2026年6月1日 16:46

Identify what could go wrong with a proposed approach before it bites — an adversarial reconnaissance across the risk categories that apply (security, performance, regulatory, operational, correctness, cost). Selects the relevant risk lenses for the approach, scans each against the approach's own description, our internal exposure (codebase), prior incidents (thoughts archive), and known external risks (web), then builds a risk register: each risk with an evidence-grounded likelihood and impact, and the standard mitigation for its class. Adversarially skeptical — an approach that looks clean still gets its residual and low risks surfaced rather than declared all-clear. States risks and their known mitigations factually; whether and how to remediate is the orchestrator's call. Persists the register as a planning input. Mode-aware. The right capability for 'what could go wrong with this rollout?', 'security risks of this auth design', 'where does this approach break under load?'.

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