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 verificación confirma la identidad del publicador (la propiedad del repo), no la seguridad del código. El análisis de seguridad cubre los CVE conocidos y los scripts de instalación sospechosos.
Forge no tiene ningún análisis registrado de esta entrada, así que no tiene ninguna observación de su superficie de herramientas. Eso es ausencia de pruebas, no prueba de que no exponga ninguna herramienta.
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…