autonomous-investigation

定义 AI 自主调查的流程、证据标签与可信度分层规则。

定义 AI 在无人干预下研究的流程和证据规则：从搜索计划门槛、Fact/Inference/Assumption 标签，到置信度分层和可比对的输出格式。用在需要 AI 自主完成调研、搜集证据并产出可审查结论的场景。特别强调有序的证据标注与置信堆叠，方便你复核和复现实验过程。

# Autonomous Investigation Protocol

## Purpose

Provide the canonical contract for **investigation skills** — research the AI performs in the world (web
search, published data, public filings) while you review the evidence instead of feeding it context.
Where `workshop-facilitation` governs skills that ask you questions one at a time, this protocol governs
skills that *proceed without you*: they budget their questions, show their plan, label every claim, and
produce output stable enough to diff against last quarter's run. That last property is the payoff — an
investigation honoring this contract can run as an agent task, in a loop, or on a schedule.

## Input

**Nothing required** — this sk