The Security Kernel for AI Agents — MCP/A2A gateway with policy enforcement, taint tracking, sandboxed execution, deterministic envelopes, and Sigstore audit. OWASP ASI 2026 compliant.
Skill Claude CodeCodex
Multi-step workflow to audit MCPKernel documentation against the codebase and update README.md, docs/ MkDocs site, CHANGELOG.md. Use when synchronizing documentation with code changes, auditing doc accuracy, or before releases.
Skill Claude CodeCodex
Multi-step workflow to research latest MCP security techniques, async Python patterns, sandboxing approaches, and implement improvements to MCPKernel. Use when upgrading architecture, adding new security features, or optimizing performance based on latest research.
Skill Claude CodeCodex
Multi-step workflow to discover issues in MCPKernel and similar repos, implement fixes, and validate with tests. Use when finding and fixing bugs, addressing security gaps, or implementing improvements discovered from issue analysis.
Skill Claude CodeCodex
Multi-step workflow to run the full MCPKernel test suite, validate code quality, and merge development branch to main when all checks pass. Use when validating changes, preparing for merge, or checking if development is ready for main.
Skill Claude CodeCodex
AI agent security gateway — policy enforcement, taint tracking, tool poisoning detection, DLP chain analysis, and SARIF output for CI/CD.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: