Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: theorem-proving

英語版ディレクトリ

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
信頼
カテゴリ: research監査

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

1.5K
Stars
72/100
信頼
カテゴリ: rag-knowledge監査

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

14
Stars
64/100
信頼
カテゴリ: utility監査

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

27
Stars
66/100
信頼
カテゴリ: coding-agents監査

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

10
Stars
66/100
信頼
カテゴリ: utility監査

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

18
Stars
65/100
信頼
カテゴリ: coding-agents監査

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
信頼
カテゴリ: security監査

Retrieval-Augmented Theorem Provers for Lean

326
Stars
63/100
信頼
カテゴリ: ml-automation監査

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
信頼
カテゴリ: research監査

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
信頼
カテゴリ: coding-agents監査

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
信頼
カテゴリ: coding-agents監査