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/react-agent-pattern/agents-mdgit clone --depth 1 https://github.com/vpeetla-ai/react-agent-patternWhat 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
react-agent-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 yesterday.
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.
This is a copy
100% identical to multi-agent-system-pattern AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- yesterday First seen · 42 lines · 389 tokens per session scan A 2ee79e251ad2
react-agent-pattern AGENTS.md is an instructions file published in the GitHub repository vpeetla-ai/react-agent-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. It is 100% identical to multi-agent-system-pattern AGENTS.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
multi-agent-system-pattern AGENTS.md
Instructions for vpeetla-ai/multi-agent-system-pattern, covering agent instructions — vpeetla-ai org, agentic engineering (karpathy), stack awareness, repo conventions and skills repo.
claude-howto CLAUDE.md
Instructions for luongnv89/claude-howto, covering claude.md, critical commands, quality gate (also runs on commit via pre-commit hooks), tests and python tooling.
python-cheatsheet GEMINI.md
Gemini CLI instructions for labex-labs/python-cheatsheet, covering gemini customization file, project overview, technologies, coding style and conventions and routing & layout system.
TradingAgents-Telegram CLAUDE.md
Instructions for IvanWng97/TradingAgents-Telegram, covering tradingagents-telegram — architecture reference, layout, architecture (for code reviewers), request lifecycle (manual /watch tap) and state ownership.
LLM-dev-demo AGENTS.md
Instructions for A3RDLab/LLM-dev-demo, covering agents.md, 仓库性质, 环境与密钥约定, 依赖管理 and 常用命令.
template-advisor-aget AGENTS.md
Instructions for aget-framework/template-advisor-aget, covering agent configuration - advisor aget template, agent compatibility, project context, purpose and key characteristics.