Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: theorem-proving

Annuaire en anglais

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
Confiance
Catégorie: researchAudit

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

1.5K
Stars
72/100
Confiance
Catégorie: rag-knowledgeAudit

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

14
Stars
64/100
Confiance
Catégorie: utilityAudit

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

27
Stars
66/100
Confiance
Catégorie: coding-agentsAudit

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

10
Stars
66/100
Confiance
Catégorie: utilityAudit

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

18
Stars
65/100
Confiance
Catégorie: coding-agentsAudit

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
Confiance
Catégorie: securityAudit

Retrieval-Augmented Theorem Provers for Lean

326
Stars
63/100
Confiance
Catégorie: ml-automationAudit

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
Confiance
Catégorie: researchAudit

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
Confiance
Catégorie: coding-agentsAudit

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
Confiance
Catégorie: coding-agentsAudit