Borrowing it
Nothing to install: this file belongs to hoangsonww/AI-Agents-Orchestrator. 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/hoangsonww/AI-Agents-Orchestrator/main/AGENTS.mdgit clone --depth 1 https://github.com/hoangsonww/AI-Agents-OrchestratorWrote 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/hoangsonww/ai-agents-orchestrator/agents-md)<a href="https://agentmods.dev/instructions/hoangsonww/ai-agents-orchestrator/agents-md"><img src="https://agentmods.dev/badge/instructions/hoangsonww/ai-agents-orchestrator/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.
<a href="https://agentmods.dev/instructions/hoangsonww/ai-agents-orchestrator/agents-md"><img src="https://agentmods.dev/badge/instructions/hoangsonww/ai-agents-orchestrator/agents-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 | $0.01736 | $0.01736 |
| Opus 5 | $0.00868 | $0.00868 |
| Sonnet 5 | $0.00347 | $0.00347 |
| Haiku 4.5 | $0.00174 | $0.00174 |
Grade A, and why
AI-Agents-Orchestrator 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 9d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Instructions for AI Coding Agents
This file is read by Codex, Gemini CLI, and other agentic coding tools. Claude Code reads .claude/CLAUDE.md which imports this file.
Project Overview
AI Coding Tools Orchestrator: Enterprise-grade agentic infrastructure with two self-contained systems coordinating AI coding assistants (Claude, Codex, Gemini, Copilot, Ollama, llama.cpp), plus specialized skills, MCP tools, and persistent graph-based context memory.
Build & Test
pip install -r requirements.txt
python -m pytest tests/ --override-ini="addopts=" -q --timeout=30 -m "not integration and not slow"
Code Style
- Python 3.8+, type hints required
- Black formatting, 120-char max line length
- isort for import ordering
- flake8 for linting
Architecture Boundaries
orchestrator/andagentic_team/are fully independent — zero shared imports- Each has its own adapters/, config/, ui/, CLI
mcp_server/is optional and depends on bothorchestrator/context/provides graph-based memory (shared infrastructure)
Testing
- All tests in
tests/directory - Use
@pytest.mark.integrationfor tests requiring CLI tools (claude, codex, gemini) - Use
@pytest.mark.slowfor long-running tests - CI excludes integration and slow tests
File Patterns
- Adapters:
*/adapters/<name>_adapter.pyextendingBaseAdapter - Config:
*/config/agents.yaml(YAML, not JSON) - Tests:
tests/test_<module>.py - Skills:
.claude/skills/<category>/<skill>.md - Claude Agents:
.claude/agents/<role>.md - Codex Agents:
.codex/agents/<role>.toml
Specialized Agents
Available Specialized Agents
Use specialized agents for domain-specific tasks:
| Agent | Domain | Use For |
|---|---|---|
| web-frontend | Frontend | React, Vue, CSS, accessibility |
| backend-api | Backend | REST, GraphQL, databases, Flask/FastAPI |
| security-specialist | Security | OWASP, vulnerability analysis, secure coding |
| devops-infrastructure | DevOps | Docker, K8s, CI/CD, cloud |
| ai-ml-engineer | AI/ML | ML pipelines, embeddings, LLM integration |
| database-architect | Data | Schema design, query optimization |
| mobile-developer | Mobile | iOS, Android, React Native, Flutter |
| performance-engineer | Performance | Profiling, load testing, optimization |
| documentation-writer | Docs | API docs, architecture, tutorials |
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.
- 9d ago First seen · 199 lines · 1,736 tokens per session scan A 7cd82b62416c
AI-Agents-Orchestrator AGENTS.md is an instructions file published in the GitHub repository hoangsonww/AI-Agents-Orchestrator (84 stars, last pushed yesterday), licensed MIT. It adds 1,736 tokens to every session, about $0.0087 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.