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sint-ai/sint-protocol

v0.2.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

a2a agent-security agentic-ai ai-governance ai-safety audit-log
+14 more
capability-tokens industrial-iot mavlink mcp mcp-security opcua open-standard physical-ai policy-engine policy-gateway protocol robotics ros2 runtime-security

Summary

AI summary

Introduces sint-scan security scanner CLI and RFC‑001 policy bundle specification.

Full changelog

What's in this release

🔍 sint-scan — MCP Security Scanner

Zero-dependency CLI to scan any MCP server for risky tools in seconds.

npx sint-scan --tools '[{"name":"bash","description":"runs shell commands"}]'

Maps tools to SINT approval tiers (T0–T3), detects OWASP ASI05 shell-exec risks, generates remediation recommendations. Works offline, no API keys.

📋 RFC-001 — Policy Bundle Specification

Normative open standard for machine-readable agent governance contracts. Covers session lifecycle, per-action enforcement, hash-chained receipts, APS identity integration, A2A task extension format, cascade revocation, and conformance test vectors.
docs/rfcs/RFC-001-policy-bundle.md

🏛 AAIF Submission

SINT Protocol submitted to the Agentic AI Foundation Technical Committee as a proposed governance standard.
aaif/project-proposals#12

🔗 Ecosystem integrations

  • APS ↔ SINT handshake spec v1.0-draft (commit db8b122, 11 conformance tests)
  • Enclave ↔ SINT capability token mapping (packages/bridge-a2a/src/enclave-mapping.ts)
  • Vocabulary crosswalk: aeoess/agent-governance-vocabulary#11
  • Three-vendor governance_attestation convergence: APS + MolTrust + SINT

📄 llms.txt

Machine-readable protocol documentation for AI agent discovery added to repo root.


Star the repo: https://github.com/sint-ai/sint-protocol
Full governance docs: https://sint.gg

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About sint-ai/sint-protocol

Security-first MCP governance proxy (`sint-mcp`)

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Beta — feedback welcome: [email protected]