dossier

原文涵盖的主题

• Dossier — Decision-Grade Entity Research
• Non-Generic Framing — The Differentiator
• Agent Integrity Rules (Research-Pack Convention)
• Phase 1: Grill-Me Intake (6 forcing questions, one at a time)
• Q1 (root) — Subject identity
• Q2 (depends on Q1) — Subject type
• Q3 (depends on Q2) — Purpose
• Q4 (depends on Q3) — Hypothesis — MANDATORY

Portability: Requires WebSearch + WebFetch, Node.js with docx package, and optionally bashtool + curl for free APIs (SEC EDGAR, GitHub, ProPublica). BYOK MCPs (LinkedIn, Crunchbase, Apollo, Pitchbook, SimilarWeb) are optional enhancements. Works in Claude Code CLI natively. This skill is decision-grade entity research with hypothesis-testing. It refuses to be "tell me about Microsoft". Every invocation forces the user to expose their hypothesis upfront (Q4) so the dossier tests it rather than confirms it. The use case shape: "I'm pitching Microsoft Tuesday. My hypothesis is they're consolidating AI spend on their first-party Foundry platform. Validate or disprove, and give me three conversation hooks tied to what you find." NOT: "Tell me about Microsoft." The forcing Q4 — the hypothesis question — is the non-generic anchor. Skip it and the skill produces a Wikipedia summary. See references/hypothesistestingdiscipline.md for the canon. Locked verbatim per PR #657 audit. Execution discipline. Sequential search calls. WebSearch + WebFetch have looser rate limits than Consensus but still apply 1 q/sec etiquette. Confirm response received before next call. Source discipline. Cite only s

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