agentmods.dev

Network-AI: Instructions file for Codex

AGENTS.md

Network-AI AGENTS.md is an instructions file for Codex, OpenCode from Jovancoding/Network-AI. It costs 975 tokens per session, scanned A, original, MIT.

An AGENTS.md instruction file for Network-AI, a TypeScript and Node.js system that coordinates multiple AI agents. It lists the project's packages, commands, structure, and testing requirements.

In plain words
What is it for?
Use it when building, type-checking, testing, or changing Network-AI's orchestrator, security code, adapters, command-line tools, or integrations.
Why use it?
It gives compatible coding agents the shared project context and the checks required before committing changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions .claude-plugin; mentions CLAUDE.md; mentions Claude Code.

This is Jovancoding/Network-AI's own configuration. It tells Codex and OpenCode how to work on Network-AI itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Network-AI configures →

not rated 78repo 3d ago A scan 975 tokens original MIT
View source ↗ Jovancoding/Network-AI network-ai.org
Reuse

Borrowing it

Nothing to install: this file belongs to Jovancoding/Network-AI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Jovancoding/Network-AI/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Jovancoding/Network-AI

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for Network-AI AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jovancoding/network-ai/agents-md/github.svg)](https://agentmods.dev/instructions/jovancoding/network-ai/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/jovancoding/network-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/jovancoding/network-ai/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Network-AI AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/jovancoding/network-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/jovancoding/network-ai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 975 This file is loaded in full into every session.
When invoked 975 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00975 $0.00975
Opus 5.5 $0.00390 $0.00390
Sonnet 5.5 $0.00195 $0.00195
Haiku 4.5 $0.00097 $0.00097

Measured 1mo ago against content hash e92a5f8595c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Network-AI 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 1mo 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.

AGENTS.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for AI coding agents (OpenAI Codex, Gemini CLI, Cursor, Factory, and any other AGENTS.md-compatible tool) working in this repository. Claude Code users: see CLAUDE.md (same content, Claude-specific extras).

Project Overview

Network-AI is a TypeScript/Node.js multi-agent orchestrator — shared state, guardrails, budgets, and cross-framework coordination. It ships as an npm package (network-ai), an MCP server, a CLI, a Claude Code plugin, a Gemini CLI extension, and an OpenClaw skill.

Build & Test Commands

npm install                   # Install dependencies
npx tsc --noEmit              # Type-check (zero errors expected)
npm run test:all              # Run the full test suite (all suites)
npm test                      # Core orchestrator tests only
npm run test:security         # Security module tests
npm run test:adapters         # All framework adapter tests
npm run test:cli              # CLI layer tests

All tests must pass before any commit. No test may be skipped or marked .only.

Project Structure

  • index.ts — Core engine: SwarmOrchestrator, AuthGuardian, FederatedBudget, QualityGateAgent, all exports
  • security.ts — SecureTokenManager, InputSanitizer, RateLimiter, DataEncryptor, SecureAuditLogger
  • lib/locked-blackboard.ts — LockedBlackboard: atomic propose → validate → commit with file-system mutex
  • lib/auth-guardian.ts — AuthGuardian: weighted permission scoring (justification 40%, trust 30%, risk 30%)
  • lib/claude-hooks.ts — ClaudeHookBridge: AuthGuardian-backed permission gating for coding-agent tool calls
  • lib/mcp-elicitation.ts — MCP elicitation channel: native in-client approval prompts
  • lib/a2a-server.ts — A2AServer: expose the orchestrator as a Google A2A agent
  • adapters/ — 32 framework adapters (LangChain, AutoGen, CrewAI, MCP, Gemini, OpenAI Responses, Claude Agent SDK, etc.)
  • bin/cli.ts — CLI entry point (npx network-ai)
  • bin/mcp-server.ts — MCP server (stdio + SSE transports)
  • types/ — TypeScript declaration files
  • data/ — Runtime data (gitignored): audit log, pending changes

Read the full file on GitHub · 89 lines

Changes

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.

  1. 1mo ago First seen · 89 lines · 975 tokens per session scan A e92a5f8595c8

Subscribe to this mod's changes

Network-AI AGENTS.md is an instructions file published in the GitHub repository Jovancoding/Network-AI (78 stars, last pushed 3d ago), licensed MIT. It adds 975 tokens to every session, about $0.0039 per session on Opus 5.5. 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.

CrewAIagent-frameworkagent-orchestrationai-agentsautogenblackboard
Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,649 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,257 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 4,159 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens