Borrowing it
Nothing to install: this file belongs to Stieges/bpmn-generator. 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/Stieges/bpmn-generator/master/AGENTS.mdgit clone --depth 1 https://github.com/Stieges/bpmn-generatorWrote 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/stieges/bpmn-generator/agents-md)<a href="https://agentmods.dev/instructions/stieges/bpmn-generator/agents-md"><img src="https://agentmods.dev/badge/instructions/stieges/bpmn-generator/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/stieges/bpmn-generator/agents-md"><img src="https://agentmods.dev/badge/instructions/stieges/bpmn-generator/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 | $0.00283 | $0.00283 |
| Opus 5.5 | $0.00113 | $0.00113 |
| Sonnet 5.5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
bpmn-generator 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.
What it actually says
BPMN Generator for Agents & opencode
This repository provides tools for autonomous agents to generate, validate, and manipulate BPMN 2.0 XML files.
Demo
Run the BPMN Copilot demo:
cd scripts
npm install # one-time, ~30s
npm run demo
This starts the HTTP server on http://localhost:3000 and serves the frontend.
Open your browser to that URL.
API key
For the LLM chat to work, you need an OpenAI-compatible API key. The frontend will
prompt you for it when you first click "Custom Text". The key is stored in
localStorage (browser only — never sent to disk on the server side).
If you prefer to pre-configure the key, set OPENAI_API_KEY in your shell before
running npm run demo. The server then uses it as a fallback for all LLM calls,
so requests work even without a key entered in the browser. (The backend also
exposes GET /api/v1/config, reporting envKeyConfigured, so a frontend can
detect this and skip the modal — wiring that into the UI is a separate step.)
Pre-loaded examples
Click any of the four example cards on the start screen — no key needed. The BPMN is pre-generated and rendered instantly.
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.
- 1mo ago First seen · 34 lines · 283 tokens per session scan A 97c9433a5126
bpmn-generator AGENTS.md is an instructions file published in the GitHub repository Stieges/bpmn-generator (56 stars, last pushed 13d ago), licensed MIT. It adds 283 tokens to every session, about $0.0011 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 2026-09-04.
Other instructions, from other repositories
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next.js AGENTS.md
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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.