Individual skill
audit-engine
Activate when the user wants to audit a paper's empirical or technical claims against a linked code repository — checking whether experiments, datasets, models, metrics, and hyperparameters described in the paper actually exist and match the code. Produces a structured audit report classifying each claim as CONFIRMED, PARTIAL, MISSING, or MISMATCH, with file/line evidence. Useful for reproducibility checks, reviewer due diligence, and pre-submission self-audits of ML/CS/empirical papers that ship code.
skills/audit-engine/SKILL.md
Source commit 160df4d13d266411f0850c4de7ecdbd93e8b40be
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 20
- Repository last updated
- Apr 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- arxiv Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- claude-skills Repository topic
- constitutional-ai Repository topic
- mcp Repository topic
- open-science Repository topic
- paper-generation Repository topic
- security Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
> **Orchestration Log**: When this skill is activated, append a log entry to `outputs/orchestration_log.md`:
> ```
> ### Skill Activation: Audit Engine
> **Timestamp:** [current date/time]
> **Actor:** AI Agent (audit-engine)
> **Input:** [paper + repo being audited]
> **Output:** [brief summary — e.g., "Audited 18 claims: 12 CONFIRMED, 3 PARTIAL, 2 MISSING, 1 MISMATCH"]
> ```
# Audit Engine
## Core Principle
Papers make claims. Code embodies what was actually done. This engine systematically