Borrowing it
Nothing to install: this file belongs to stoiver/anuga_drainage. 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/stoiver/anuga_drainage/main/CLAUDE.mdgit clone --depth 1 https://github.com/stoiver/anuga_drainageWrote 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/stoiver/anuga_drainage/claude-md)<a href="https://agentmods.dev/instructions/stoiver/anuga_drainage/claude-md"><img src="https://agentmods.dev/badge/instructions/stoiver/anuga_drainage/claude-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 | $0.09374 | $0.09374 |
| Opus 5 | $0.04687 | $0.04687 |
| Sonnet 5 | $0.01875 | $0.01875 |
| Haiku 4.5 | $0.00937 | $0.00937 |
Grade A, and why
anuga_drainage CLAUDE.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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this project is
anuga_drainage couples the 2D hydrodynamic shallow-water model ANUGA (overland/surface flow) with a 1D stormwater/sewer network solver (SWMM via pyswmm, or pipedream via pipedream_solver). The 2D model handles the surface; the 1D model handles the underground pipe network; the two exchange water at inlets/manholes each timestep.
The installable package is intentionally tiny — almost all the real logic lives in the per-example run_*.py scripts. The package only provides the shared physics of the 2D↔1D exchange.
Install & environment
Assume work happens inside an existing conda environment that already has a current ANUGA built and importable. On top of that env:
pip install -e . # installs the anuga_drainage package
pip install pyswmm # SWMM backend (standard PyPI release, 2.1.0)
pip install git+https://github.com/mdbartos/pipedream.git # pipedream backend — NOT the PyPI release
Keep the package installed editable (pip install -e .). On the maintainer's hand-built dev box (not created from environment.yml), the install has silently reverted to a plain copied install in site-packages that predates newer source — symptom: an example raises TypeError: ... got an unexpected keyword argument for a kwarg that is present in src/ (e.g. couple_from_inp(..., inlet_polygons=...)). An example that happens to use only older kwargs (e.g. real_example/run_from_inp.py) keeps working, masking the cause. When an example "stops working", first check pip show anuga_drainage is editable and python -c "import pandas; print(pandas.__version__)" is <3 (see next paragraph) before debugging the script; the fix is pip install -e . --no-deps and pip install 'pandas<3'.
pipedream must come from git master, not PyPI. The released pipedream-solver 0.2.2 uses np.bool8, removed in numpy 2.x (which the ANUGA env requires), so it crashes on SuperLink(...) construction. Git master replaced those with np.bool_. Caveat: even git master still has np.bool8 in two optional code paths — nsuperlink.py reposition_junctions() and the nquality.py water-quality solver. None of the examples use these (all have #superlink.reposition_junctions() commented out), but uncommenting reposition_junctions() will hit the bug. Fix submitted upstream: https://github.com/mdbartos/pipedream/pull/73 — once merged (and ideally released to PyPI), this caveat and the git-master requirement can be revisited.
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 · 135 lines · 9,374 tokens per session scan A 2ae3d73add0a
anuga_drainage CLAUDE.md is an instructions file published in the GitHub repository stoiver/anuga_drainage (11 stars, last pushed 2mo ago), licensed MIT. It adds 9,374 tokens to every session, about $0.0469 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 2026-08-30.
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