Deterministic policy enforcement and MCP management for AI agent tool calls.
Deterministic policy enforcement for AI agent tool calls. Every action an agent proposes passes through user-defined rules before execution. No LLM in the authorization path. Advisory nudges are separate from authorization. 25ms end-to-end. There is no npm or PyPI package for signet-eval. The public distribution path is crates.io plus source install from GitHub. The MCP Registry listing points at…
La vérification confirme l’identité de l’éditeur (la propriété du dépôt), pas la sûreté du code. L’analyse de sécurité couvre les CVE connues et les scripts d’installation suspects.
Forge n’a aucune analyse enregistrée pour cette entrée et n’a donc aucune observation de sa surface d’outils. C’est une absence de preuve, pas la preuve qu’elle n’expose aucun outil.
Deterministic policy enforcement for AI agent tool calls. Every action an agent proposes passes through user-defined rules before execution. No LLM in the authorization path. Advisory nudges are separate from authorization. 25ms end-to-end. There is no npm or PyPI package for signet-eval. The public distribution path is crates.io plus source install from GitHub. The MCP Registry listing points at the repository metadata; the runtime is the local stdio 1. Hook into Claude Code — add to : For…