
Proof Checker
Lets the agent rigorously verify and fix a LaTeX math proof using a second AI reviewer.
- Stars
- 18,482
- Licence
- MIT
- Files
- 1 file
What it does
When you ask the agent to check a mathematical proof, this skill makes it read a LaTeX proof, look for logical gaps and unjustified steps, and send the proof to a separate AI model acting as an adversarial reviewer. The agent then fixes each flagged gap with fuller derivations, has the reviewer re-check the fixes, and produces an audit report that tracks each issue. The file describes a fixed issue taxonomy and an objective pass/fail acceptance gate.
Great for
- Researchers preparing theory papers who want a systematic second check of their proofs
- Graduate students reviewing a lemma or theorem before submission
- Authors who want an audit trail of which gaps were found and how they were closed
Skip it if
- Quick informal sanity checks where a single human read is enough (the workflow is multi-round and slow)
- Proofs that need formal machine verification in a proof assistant, since this relies on LLM review rather than a formal checker
- Situations where the proof text is confidential and cannot be sent to an external reviewer model (the reviewer backend receives the proof content)
Try asking
- “Check this proof in paper/main.tex and fix any gaps”
- “Verify the proof of Theorem 3 with a deep fix pass”
- “Run a proof check on my convergence lemma and generate an audit report”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
proof-checker.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip proof-checker.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip proof-checker.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Point it at a specific .tex file or theorem so the reviewer has clear scope
- Keep the reviewer backend choice deliberate: the default sends content to an external model, and manual mode requires a non-Claude reviewer model
- Read PROOF_AUDIT.md after each run, since the reviewer can still be wrong and human checking remains necessary
What's inside
- SKILL.md
Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.