What problem does it solve? Research for technical decisions often produces link dumps, stale facts, or vendor claims treated as verified truth, leading to poor adoption choices. This Skill enforces a bounded research contract that separates source-backed facts from inference, preserves contradictions, and stops discovery from silently becoming implementation. ## Core Features & Use Cases - Claim Classification: Labels every material claim as source-backed fact, cross-source fact, vendor claim, inference, proposal, or unknown/conflicted. - Source Quality & Freshness Control: Prioritizes primary sources, checks version/date context for unstable facts, and prevents mirrors or syndicated copies from counting as independent confirmation. - Structured Research Output: Produces a decision-ready report with question, scope, findings, provenance, contradictions, unknowns, status, and a recommended handoff to evaluation, security, or planning. - Use Case: When evaluating whether to adopt a new open-source dependency, use this Skill to verify the canonical repository, maintainer, license, security advisories, and current version before any evaluation or installation decision. ## Quick Start Use the signalproof-research skill to investigate the current maintenance status, license, and security posture of the library we are considering, and return a sourced findings report with any contradictions flagged.