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.
curl -O https://raw.githubusercontent.com/Jovancoding/Network-AI/main/CLAUDE.mdgit clone --depth 1 https://github.com/Jovancoding/Network-AIWrote 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/jovancoding/network-ai/claude-md)<a href="https://agentmods.dev/instructions/jovancoding/network-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/jovancoding/network-ai/claude-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.
<a href="https://agentmods.dev/instructions/jovancoding/network-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/jovancoding/network-ai/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01635 | $0.01635 |
| Opus 5.5 | $0.00654 | $0.00654 |
| Sonnet 5.5 | $0.00327 | $0.00327 |
| Haiku 4.5 | $0.00163 | $0.00163 |
Grade A, and why
Network-AI CLAUDE.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 17d 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Project Instructions for Claude Code
This file is read automatically by Claude Code when working in this repository.
Project Overview
Network-AI is a TypeScript/Node.js multi-agent orchestrator — shared state, guardrails, budgets, and cross-framework coordination. Version 5.15.4.
Build & Test Commands
npm install # Install dependencies
npx tsc --noEmit # Type-check (zero errors expected)
npm run test:all # Run all 3,679 tests across 41 suites
npm test # Core orchestrator tests only
npm run test:security # Security module tests
npm run test:adapters # All 32 adapter tests
npm run test:priority # Priority & preemption tests
npm run test:cli # CLI layer tests
All tests must pass before any commit. No test should be skipped or marked .only.
Project Structure
index.ts— Core engine: SwarmOrchestrator, AuthGuardian, FederatedBudget, QualityGateAgent, all exportssecurity.ts— Security module: SecureTokenManager, InputSanitizer, RateLimiter, DataEncryptor, SecureAuditLoggerlib/locked-blackboard.ts— LockedBlackboard with atomic propose → validate → commit and file-system mutexlib/fsm-journey.ts— JourneyFSM behavioral control planelib/compliance-monitor.ts— Real-time agent behavior surveillancelib/adapter-hooks.ts— AdapterHookManager: beforeExecute/afterExecute/onError lifecycle hooks + matcher-based filteringlib/skill-composer.ts— SkillComposer: chain/batch/loop/verify meta-operationslib/semantic-search.ts— SemanticMemory: BYOE vector store with cosine similaritylib/phase-pipeline.ts— PhasePipeline: multi-phase workflows with approval gateslib/confidence-filter.ts— ConfidenceFilter: multi-agent result scoring and filteringlib/fan-out.ts— FanOutFanIn: parallel agent spawning with pluggable aggregationlib/agent-runtime.ts— AgentRuntime: sandboxed execution with SandboxPolicy, ShellExecutor, FileAccessor, ApprovalGatelib/console-ui.ts— ConsoleUI: interactive terminal dashboard with ANSI TUIlib/strategy-agent.ts— StrategyAgent: meta-orchestrator with AgentPool, WorkloadPartitioner, adaptive scalinglib/goal-decomposer.ts— GoalDecomposer, TeamRunner, runTeam: LLM-powered goal → task DAG → parallel executionlib/env-manager.ts— EnvironmentManager: promotion chain dev→st→sit→qa→preprod→prod, backup/restore, env diff, NETWORK_AI_ENV routinglib/circuit-breaker.ts— CircuitBreaker CLOSED/OPEN/HALF_OPEN state machine; CircuitOpenError; per-adapter in AdapterRegistry with fallbackChainlib/telemetry-provider.ts— ITelemetryProvider BYOT interface; NullTelemetryProvider, CapturingTelemetryProvider; createOtelHooks() factory for AdapterHookManagerlib/claude-hooks.ts— ClaudeHookBridge: AuthGuardian-gated coding-agent tool calls (Claude Code PreToolUse/PostToolUse hooks), observe/enforce modes,network-ai hookCLIlib/mcp-elicitation.ts— StdioElicitationChannel + createElicitationApprovalCallback: native in-client approval prompts over MCP elicitation (fail closed)lib/a2a-server.ts— A2AServer: expose the orchestrator as a Google A2A agent (agent card + tasks/send, Bearer-gated)lib/context-composer.ts— ContextComposer: token-budgeted, relevance-ranked context assembly (semantic/lexical × recency half-life × scope affinity, position-aware layout); estimateTokens()lib/mcp-tools-context.ts— ContextMcpTools:context_pack+blackboard_searchMCP tools (signal-over-noise retrieval)adapters/— 32 framework adapters (LangChain, AutoGen, CrewAI, MCP, Codex, Gemini, OpenAI Responses, Claude Agent SDK, MiniMax, NemoClaw, APS, Hermes, Orchestrator, etc.)bin/cli.ts— CLI entry point (npx network-ai)bin/mcp-server.ts— MCP server (SSE + stdio transport)bin/console.ts— Interactive console with pipe mode (npx network-ai-console)scripts/— Python helper scripts (blackboard, permissions, token management)types/— TypeScript declaration filesdata/— Runtime data (gitignored): audit log, pending 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.
- 17d ago Changed 32b87300a186
- 19d ago Changed dde19ce89c3b
- 1mo ago First seen · 106 lines · 1,635 tokens per session scan A 4d1d883fe176
Network-AI CLAUDE.md is an instructions file published in the GitHub repository Jovancoding/Network-AI (78 stars, last pushed 3d ago), licensed MIT. It adds 1,635 tokens to every session, about $0.0065 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.
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