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/vpeetla-ai/multi-agent-system-pattern/agents-mdgit clone --depth 1 https://github.com/vpeetla-ai/multi-agent-system-patternWrote 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/vpeetla-ai/multi-agent-system-pattern/agents-md)<a href="https://agentmods.dev/instructions/vpeetla-ai/multi-agent-system-pattern/agents-md"><img src="https://agentmods.dev/badge/instructions/vpeetla-ai/multi-agent-system-pattern/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 | $0.00389 | $0.00389 |
| Opus 5 | $0.00195 | $0.00195 |
| Sonnet 5 | $0.00078 | $0.00078 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
multi-agent-system-pattern 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 3d 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:
- react-agent-pattern AGENTS.md — 100% identical, 0 lines differ
What it actually says
Agent Instructions — vpeetla-ai org
Read CONTEXT.md for shared vocabulary.
Agentic engineering (Karpathy)
- Think before coding — state assumptions, plan, success criteria
- Simplicity first — minimum diff; no speculative features
- Surgical changes — match existing style; no drive-by refactors
- Goal-driven execution — tests/evals define done; iterate until pass
Stack awareness
This org builds governed agent systems, not chat demos:
- Orchestration (VAP) and governance (AegisAI) are separate layers
- RAG uses access-before-ranking
- Side effects require gateway or HITL
- Self-improvement uses harness + eval loops (LoopForge)
Repo conventions
- Python 3.11+, FastAPI, Pydantic v2, LangGraph for agent graphs
pip install -e ".[dev]"+pytest -qbefore claiming done- README: badges → problem → 60s diagram → honest status table → quick start
- Deploy: Vercel (UI) + Render (API); see
render.yaml
Skills repo
Install org skills from vpeetla-ai-skills:
./scripts/install.sh --cursor --project .
./scripts/install.sh --codex --project .
When stuck
- Check which stack layer the task belongs to
- Read the target repo's
docs/ECOSYSTEM.mdordocs/ARCHITECTURE.md - Use tdd-agent-loops for graph changes; aegis-gateway for side effects
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.
- 3d ago First seen · 42 lines · 389 tokens per session scan A 2ee79e251ad2
multi-agent-system-pattern AGENTS.md is an instructions file published in the GitHub repository vpeetla-ai/multi-agent-system-pattern (2 stars, last pushed 1mo ago), licensed MIT. It adds 389 tokens to every session, about $0.0019 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 2026-08-31.
Other instructions, from other repositories
Clutch CLAUDE.md
Instructions for fancy1108/Clutch, covering 📍 项目定位, ⛔ 铁律, ⚡ 核心命令, 🔄 long-running agent 规则 and layer 4 操作剧本（.claude/workflows/、.cursor/）.
Clutch copilot-instructions.md
Instructions for fancy1108/Clutch, a project described as: Local AI multi-agent orchestration desktop app (Tauri · LangGraph).
Clutch AGENTS.md
Instructions for fancy1108/Clutch, covering clutch — agent instructions index and cursor cloud specific instructions.
AI-System-Design-Consultant CLAUDE.md
Instructions for deepanshu2711/AI-System-Design-Consultant, covering claude.md, what this is, running it, load-bearing typos — do not "fix" these paths and agent node pattern.
chat-gun-react-agent AGENTS.md
AGENTS.md instructions for HsienW/chat-gun-react-agent, covering chat gun react agent：全域 ai 編程規則, 1. 適用範圍, openspec workflow router 感知, agent 角色寫入前硬檢查 and 2. 指令與規格優先順序.
chat-gun-react-agent CLAUDE.md
Claude Code instructions for HsienW/chat-gun-react-agent, covering chat gun react agent：claude 協調與規格管理規則, 1. 文件定位, 1.1 openspec workflow router 感知, 2. claude 的角色 and 2.1 寫入前角色硬檢查.