agent-audit

Prior direction, kept rather than deleted. Signed, offline-verifiable receipts for AI agent actions, and a reference implementation of the OWASP Agentic Skills Top 10 AST09 receipt pattern. Nobulex is now the independent reliability registry for agent tools: github.com/arian-gogani/nobulex-registry

FDE Agent — 把 AI 装进企业的业务流程，离场后 7×24 自己跑。MIT 开源。

Agent says done. VALP asks for proof.

Java-native runtime for long-running AI agents with live execution control, human approvals, and audit trails.

Cryptographically verifiable audit trail for AI systems — Ed25519 signed, hash-chained Decision Receipts with ISO 42001 / NIST AI RMF compliance. No blockchain, no SaaS.

CML (Causal Memory Layer) — a foundational memory layer for recording reasons, permissions, and responsibility behind actions, not just events or results. Enables systems in AI, fintech, security, and distributed computing to preserve meaning and causal accountability across time, independent of execution or transport.

The open specification and reference SDK for recording AI Agent decision chains. Every decision, recorded. Every alternative, documented.

TreLLM is an LLM-driven trading audit and live-readiness control system; TradeArena is its public leaderboard for replayable trajectories, risk gates, execution calibration, and reproducible agent evidence.

Forward-deployed AI implementation toolkit: customer context, readiness scoring, audit trails, rollout checks, and MCP patterns.

상담 로그를 ALF 호환 테스트 케이스로 바꾸고, 지식 변경 전후의 해결률과 정책 위반을 회귀 비교해 배포 여부를 권고하는 감사 파이프라인

Local-model mode for your existing OpenClaw/Codex workspace.

Built on affaan-m/ECC by @affaan-m: a Claude Code skill that finds agent and LLM app memory, tool, wrapper, and output bugs.

Proof-first tools for AI agents. So humans stay accountable when machines fail.

Claude Code skill for static audit of OpenClaw config and agent proposals — llms.txt-first research, F1–F12 incident library, Notion-bridged Galatea audit workflow.

Replayable, reviewable, rollbackable evidence bundles for autonomous coding runs.

Open-source CLI that audits AI agents for security vulnerabilities, performance issues, and model fit — based on OWASP Agentic AI Top 10

Audits configured AI agents for task success, tool judgment, authority, truthful completion, memory isolation, recovery, and release readiness using observable evidence.