菜单
Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/NeuroAIHub/BrainPilot --skill audit-evidence命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Audit scientific implementation, exported-model equivalence, dependency completeness, manifests, packaging, and isolated inference. Use when claims depend on code, trained artifacts, evaluators, or deployable entry points.
Audit scientific data semantics, sample and label alignment, leakage, group splits, preprocessing boundaries, and train-to-inference transforms. Use for any result based on datasets, feature matrices, tensors, repeated observations, or learned preprocessing.
Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor. Use when PI needs to audit its own draft, an Expert result, or a multi-agent synthesis; when Auditor receives such a review task; or when a previous audit requires correction and incremental re-review.
基于 SOC 职业分类
正在显示 SKILL.md
| name | audit-evidence |
| description | Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs. |
Build a claim-to-evidence map from the supplied target. Plausibility is not
evidence, and absence of evidence is unverified, not confirmation.
unverified.For a bounded parallel review, use evidence-extractor with the target report
and its cited evidence packet. Ask for a compact claim map and candidate findings,
not a verdict.