技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: theorem-proving

英文目录

Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.

25K
Stars
73/100
信任
分类: research审计

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]

1.5K
Stars
72/100
信任
分类: rag-knowledge审计

🧠 AI Agent skills for LLMs and AI Agents - Claude, Codex, Cursor etc.

14
Stars
64/100
信任
分类: utility审计

Claude Code skill plugin for cleaning up and bringing Lean 4 code to mathlib standards.

27
Stars
66/100
信任
分类: coding-agents审计

Security audit skill for LLM agents - prompt injection scanner, attack catalog & defense checklist

10
Stars
66/100
信任
分类: utility审计

A reusable AI agent skill for managing the full software development lifecycle with plain language requests.

18
Stars
65/100
信任
分类: coding-agents审计

Unified skill hub for Solana development. Routes to external submodule skills (solana-foundation, sendai, solana-game, trailofbits, cloudflare, qedgen, colosseum, solana-new, ghostsecurity, defending-code) and local skills. Progressive disclosure — read only what you need.

97
Stars
61/100
信任
分类: security审计

Retrieval-Augmented Theorem Provers for Lean

326
Stars
63/100
信任
分类: ml-automation审计

An annotated library of real AI writing failure patterns with full dissection. Use to teach a writer what AI slop actually looks like, diagnose why a specific passage reads as machine-written, or explain the mechanism behind a pattern.

28
Stars
61/100
信任
分类: research审计

Review changed code for YAGNI, removable over-complexity, reuse, code quality, and efficiency, then apply worthwhile simplifications. Use when the user asks to simplify, clean up, tighten, de-hack recent changes, identify logic that can be dropped, or review whether added safeguards and edge-case handling are actually needed.

13
Stars
58/100
信任
分类: coding-agents审计

Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups.

11
Stars
61/100
信任
分类: coding-agents审计