JEP-Guard Audit Skill — Strict JEP-04/JAC-01 Compliant Audit Chain with Friendly API Layer

This package appears to implement the advertised audit chain API and protocols, but before installing or deploying it consider the following: (1) Cryptography: the code currently treats signatures as a presence check rather than performing real JWS signature verification — do not rely on it for legal/regulatory evidence until proper signature checks are implemented and audited. (2) Incomplete review: the provided core.py excerpt was truncated in the review package — obtain and inspect the complete source to ensure there are no hidden network calls, telemetry, or storage behaviors. (3) Deployment: the skill exposes an HTTP API (uvicorn/FastAPI); if you run it, protect the endpoint (authentication, TLS, network controls) and validate retention/storage meets regulatory needs (EU AI Act retention rules). (4) Supply chain: pip-install the declared dependencies from trusted registries and run the included unit tests in an isolated environment to confirm behavior. (5) If you need this for compliance evidence, require a cryptographic verification audit (implement/verify JWS verification and secure key management) before accepting chain outputs as authoritative.

Type: OpenClaw Skill Name: jep-guard-audit Version: 1.0.0 The jep-guard-audit skill bundle is a well-structured implementation of an audit logging and verification system based on the JEP-04 and JAC-01 protocols. The code is organized into a three-layer architecture (API, Adapter, and Codec) that handles event ingestion, hash-chain integrity verification, and compliance report generation for regulations like the EU AI Act. Analysis of the core logic in skill/core.py and skill/codec.py reveals no evidence of data exfiltration, malicious execution, or prompt injection; the system operates primarily in-memory and uses standard libraries for hashing and web serving.