Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/sint-ai/sint-protocol/agents-mdgit clone --depth 1 https://github.com/sint-ai/sint-protocolWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/sint-ai/sint-protocol/agents-md)<a href="https://agentmods.dev/instructions/sint-ai/sint-protocol/agents-md"><img src="https://agentmods.dev/badge/instructions/sint-ai/sint-protocol/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.02103 | $0.02103 |
| Opus 5 | $0.01052 | $0.01052 |
| Sonnet 5 | $0.00421 | $0.00421 |
| Haiku 4.5 | $0.00210 | $0.00210 |
Grade A, and why
sint-protocol AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- sint-protocol AGENTS.md — 95% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SINT Protocol — AI Agent Guide
This file is optimized for AI agents (LLMs) working in this codebase. For human contributor guidance, see CONTRIBUTING.md. For implementation details and pitfalls, see CLAUDE.md.
What This Repo Does
SINT Protocol is a security enforcement layer that sits between AI agents and physical systems (robots, PLCs, drones, tool calls), ensuring every action is authorized via capability tokens, constrained to safe physical limits, and recorded in a tamper-evident audit log. It is a pnpm monorepo with 30 workspace members built on TypeScript 5.7 + Node.js 22.
Key Invariants (Never Violate These)
- Every authorization decision flows through
PolicyGateway.intercept()— no bridge or route handler makes authorization decisions directly - Tokens are attenuation-only:
scope(child) ⊆ scope(parent)— permissions only narrow, never expand (invariant I-T1) EvidenceLedgeris append-only and SHA-256 hash-chained — never modify or delete emitted events (invariant I-G3)- UUID v7 is required for
requestId—crypto.randomUUID()gives v4 and WILL fail schema validation. UsegenerateUUIDv7()from@sint/gate-capability-tokens - Physical constraints live in the token, not in config files — velocity, force, geofence are enforced cryptographically
- E-stop is unconditional —
estopevent transitions any non-terminal DFA state to ROLLEDBACK, bypassing all token checks (invariant I-G2)
Quick Orientation
Package Dependency Graph
@sint/core
↓
@sint/gate-capability-tokens @sint/persistence
↓ ↓
@sint/gate-evidence-ledger
↓
@sint/gate-policy-gateway
↓
@sint/bridge-* @sint/engine-* @sint/avatar
↓
@sint/gateway-server @sint/mcp
↓
@sint/conformance-tests @sint/dashboard
Workspace Layout
packages/core/ → Shared types, Zod schemas, tier constants, DFA states
packages/capability-tokens/ → Ed25519 token issuance, delegation, revocation
packages/policy-gateway/ → THE choke point: tiers, constraints, rate limiting, M-of-N
packages/evidence-ledger/ → SHA-256 hash-chained append-only audit log
packages/bridge-*/ → Protocol adapters (MCP, ROS2, A2A, IoT, OPC-UA, MAVLink, ...)
packages/engine-*/ → AI execution layer (System1, System2, HAL, capsule sandbox)
packages/avatar/ → Behavioral identity profiles, CSML-driven tier escalation
packages/persistence/ → Storage interfaces + in-memory implementations
packages/persistence-postgres/ → PostgreSQL adapters
packages/client/ → TypeScript HTTP client for the gateway API
packages/conformance-tests/ → Security regression suite (must pass on every PR)
apps/gateway-server/ → Hono HTTP API (port 3100)
apps/sint-mcp/ → Security-first multi-MCP proxy
apps/dashboard/ → Real-time approval dashboard
sdks/typescript/ → Zero-dependency public SDK
capsules/navigation/ → Reference capsule: waypoint navigation
capsules/inspection/ → Reference capsule: visual anomaly detection
capsules/pick-and-place/ → Reference capsule: gripper control
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 147 lines · 2,103 tokens per session scan A a0b7a86e53f7
sint-protocol AGENTS.md is an instructions file published in the GitHub repository sint-ai/sint-protocol (12 stars, last pushed 22d ago), licensed Apache-2.0. It adds 2,103 tokens to every session, about $0.0105 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
orloj AGENTS.md
Instructions for OrlojHQ/orloj, covering orloj agent instructions, must-follow sync rules and working style.
leashd CLAUDE.md
Instructions for vmehera123/leashd, covering claude.md, commands, install dependencies, run tests (single file / specific test / all) and run tests with coverage.
template-repo copilot-instructions.md
Instructions for AndrewAltimit/template-repo, covering project context for ai code review, project overview, ai agent ecosystem, core design principles and 1. container-first philosophy.
ATF-AI copilot-instructions.md
Instructions for agronetlabs/ATF-AI, covering atf-ai repository instructions for github copilot, governance boundary, core vs. adapter changes, rwa privileged actions and security.
Neuroverseos-governance AGENTS.md
Instructions for NeuroverseOS/Neuroverseos-governance, covering neuroverse governance — agent integration guide, what this package does, quick start for agents, install and enforce a world (permanent rules).
ardur AGENTS.md
AGENTS.md instructions for ArdurAI/ardur, covering ardur agent instructions, 0. first action in every new session, 1. what ardur is, and what it does not claim, 2. tl;dr commands and 3. architecture and trust boundaries.