Borrowing it
Nothing to install: this file belongs to powsybl/pypowsybl-mcp. 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/powsybl/pypowsybl-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/powsybl/pypowsybl-mcpWrote 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/powsybl/pypowsybl-mcp/agents-md)<a href="https://agentmods.dev/instructions/powsybl/pypowsybl-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/powsybl/pypowsybl-mcp/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 5.1 | $0.00229 | $0.00229 |
| Opus 5 | $0.00114 | $0.00114 |
| Sonnet 5 | $0.00046 | $0.00046 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
pypowsybl-mcp 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 8d 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
Coding Agent Guidelines
Project Overview
pypowsybl-mcp is a project that integrates MCP (Model Context Protocol) servers for power grid operations,
specifically using pypowsybl.
Development Rules
- Follow existing code style (indentation, naming conventions).
- Maintain documentation:
README.mdwith new major features and update thedocsdirectory if needed. - Use
uvfor dependency management. - Use
logurufor logging. ruffis used for linting and formatting.- Write code and comments in English.
- Use American English spelling (e.g. "color", "initialize", "catalog") in
README.md, code comments, and thedocs/directory.
Testing
- Tests are located in the
tests/directory. - Use
pytestfor running tests. - Always run relevant tests before submitting changes.
Project Structure
pypowsybl_mcp/: Main source directory.tests/: Project tests (pytest).pyproject.toml: Project metadata and dependencies.
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.
- 8d ago First seen · 30 lines · 229 tokens per session scan A dba3ab88cf6a
pypowsybl-mcp AGENTS.md is an instructions file published in the GitHub repository powsybl/pypowsybl-mcp (5 stars, last pushed today), licensed MPL-2.0. It adds 229 tokens to every session, about $0.0011 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.
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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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.