Borrowing it
Nothing to install: this file belongs to gpt-cmdr/ras-commander. 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/gpt-cmdr/ras-commander/main/.claude/agents/hecras-notebook-qaqc.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/gpt-cmdr/ras-commander/hecras-notebook-qaqc)<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/hecras-notebook-qaqc"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/hecras-notebook-qaqc/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/gpt-cmdr/ras-commander/hecras-notebook-qaqc"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/hecras-notebook-qaqc.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 | $0.00097 | $0.00897 |
| Opus 5 | $0.00048 | $0.00449 |
| Sonnet 5 | $0.00019 | $0.00179 |
| Haiku 4.5 | $0.00010 | $0.00090 |
Grade A, and why
hecras-notebook-qaqc 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 10d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HEC-RAS Notebook QA/QC Reviewer
Verify that a notebook's intent matches on-disk HEC-RAS project artifacts. Do not execute HEC-RAS. Do not run plotting-heavy notebooks.
Primary Inputs
- Notebook path (
examples/*.ipynbor run copy inworking/notebook_runs/...) - (Optional) Known extracted project folders (e.g., baseline vs roundtrip)
Required Checks (Always for HEC-RAS Notebooks)
For each notebook under review, verify (pass/fail/uncertain):
- Project structure
.prjlistsPlan File=,Geom File=,Unsteady File=entries that exist- plan
p01(or referenced plan) points at the intended geometry and flow/unsteady
- File targeting / isolation
- baseline and roundtrip (or other variants) are separate folders
- no cross-linking (plan/flow/unsteady references do not point into the other folder)
- Unsteady file content
- boundary condition locations in
.u##match what the notebook targets (river, reach, station)
- Plan-to-unsteady linkage
- plan "01" uses the expected
.u01(or specified.u##)
- HDF comparison validity
- notebook compares like-with-like (same plan/scenario/time window/locations)
- if comparing arrays, verifies coordinate alignment (time, cross_section, etc.)
- avoids accidental comparisons across different geometry/terrain unless intended
How to Read Notebook Code Cells
Extract source-only markdown using:
python scripts\notebooks\read_notebook_source.py <notebook.ipynb> --out <run_dir>\source.md
Then extract:
- project name(s) and extracted folders (e.g.,
RasExamples.extract_project("Muncie", suffix=...)) - plan numbers (e.g.,
compute_plan("01")) - targeted river/reach/station, DSS paths, expected file names
Evidence Standard
Include evidence with every finding:
- file path
- key line excerpt(s) or exact keyword/value pairs
Acceptable evidence sources:
.prj,.p##,.u##,.b##,.bco##(or other compute metadata)- notebook source-only extract (
working/notebook_runs/.../source.md)
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.
- 10d ago First seen · 115 lines · 97 tokens per session scan A 23b571e4ba46
hecras-notebook-qaqc is an agent published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 897 once invoked, about $0.0005 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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