Borrowing it
Nothing to install: this file belongs to ansys/pymapdl. 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/ansys/pymapdl/main/.github/agents/developer.agent.mdgit clone --depth 1 https://github.com/ansys/pymapdlWrote 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/agents/ansys/pymapdl/developer)<a href="https://agentmods.dev/agents/ansys/pymapdl/developer"><img src="https://agentmods.dev/badge/agents/ansys/pymapdl/developer/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/agents/ansys/pymapdl/developer"><img src="https://agentmods.dev/badge/agents/ansys/pymapdl/developer.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 | $0.00029 | $0.00596 |
| Opus 5.5 | $0.00012 | $0.00238 |
| Sonnet 5.5 | $0.00006 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
developer 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 2mo 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PyMAPDL Developer Agent
Architecture constraints
- Do not modify
src/ansys/mapdl/core/_commands/— auto-generated from MAPDL source. - Override MAPDL commands in
_MapdlCommandExtendedinsrc/ansys/mapdl/core/mapdl_extended.py. - Connection modes:
localvsremote;grpc(default) vsconsole(console is discouraged, Linux-only).
Dependencies
- Runtime deps:
[project.dependencies]inpyproject.toml. - Test/doc extras: exact pins (
==) under[project.optional-dependencies]. - Run
uv lockafter changes; don't commit unrelateduv.lockchanges.
Commands
uv run pre-commit install # once
uv run pre-commit run --all-files # before every commit
uv run pytest # tests (set PYMAPDL_START_INSTANCE=False to connect to an existing instance instead of launching MAPDL)
CI-like testing via tox + Docker
The repo provides tox envs that spin up MAPDL (and optionally DPF) Docker containers and run the full test matrix, matching CI. Use uvx so the pinned venv is used, as CI does.
Key envs:
| Env | Purpose |
|---|---|
docker-run-mapdl |
Start MAPDL container in background |
docker-run-mapdl-dpf |
Start MAPDL + DPF containers |
docker-stop-mapdl |
Stop/remove MAPDL containers |
docker-stop-mapdl-dpf |
Stop/remove MAPDL+DPF containers |
docker-test-local |
Run tests against local Docker images |
docker-test-remote |
Run tests mirroring CI (remote images) |
docker-test-local-build |
Rebuild the local-host image without running tests |
docker-test-remote-build |
Rebuild the remote-host image without running tests |
Each directory that needs env vars contains an example.env. Copy to .env and edit — tox loads it automatically.
# Example (Unix/macOS)
export PYMAPDL_PORT=50052 PYMAPDL_START_INSTANCE=True
uvx tox -e docker-run-mapdl
uvx tox -e docker-test-local
uvx tox -e docker-stop-mapdl
Workflow
- Implement -> add/update numpydoc docstrings -> run pre-commit again
- Delegate tests to tester agent (≥90% coverage required)
- Delegate docs (docstring and Sphinx documentation) to documentation agent
- Submit for reviewer agent approval
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.
- 2mo ago First seen · 63 lines · 29 tokens per session scan A 0a9c81d7a69c
developer is an agent published in the GitHub repository ansys/pymapdl (525 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 596 once invoked, about $0.0001 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 2026-08-30.
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