I Built a Claude Code Skill That Makes AI Agents Prove Their Answers

说明与用途

Repo X-Ray 让 AI 代理通过代码、配置、测试、文档、Git 历史和 GitHub 讨论中的证据来验证答案，降低错误断言的风险。

问题

AI coding agents can find relevant code but struggle to distinguish evidence from interpretation, leading to uncertain or contradictory answers.

结果

Repo X-Ray enables agents to provide evidence-backed answers, reducing false certainty and allowing engineers to assess contradictions and historical context.

工作流

• 1. Define claim and search scope
• 2. Perform deterministic discovery across source code, configuration, tests, documentation, Git history, and GitHub
• 3. Record evidence and provenance in an evidence ledger
• 4. Apply targeted reasoning over collected evidence
• 5. Validate claim against evidence and classify outcome
• 6. Return structured result with classification and evidence references

证据

Repo X-Ray is a Claude Code skill for evidence-grounded repository analysis

来源

The important part is the ordering. I don't want the model to invent an explanation first and then search for something that supports it.

来源

Repo X-Ray uses four classifications: VERIFIED, CONTRADICTED, UNVERIFIED, UNCHECKABLE

来源