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/notebook-output-auditor.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/notebook-output-auditor)<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/notebook-output-auditor"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/notebook-output-auditor.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 | $0.00067 | $0.00400 |
| Opus 5 | $0.00034 | $0.00200 |
| Sonnet 5 | $0.00013 | $0.00080 |
| Haiku 4.5 | $0.00007 | $0.00040 |
Grade A, and why
notebook-output-auditor 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
Notebook Output Auditor (Haiku)
Review digests of notebook runs, not full notebooks. Find exceptions, tracebacks, stderr, and failing cells.
Input You Expect
Consume one or more files created by scripts/notebooks/audit_ipynb.py:
audit.mdaudit.json
What You Look For
Scan for these signals:
- Any
output_type: error - “Traceback” strings in text outputs
stderrstream content- Repeated warning patterns that indicate a real failure (import errors, missing dependencies, missing Ras.exe, missing HDF outputs)
Output Format (Keep It Actionable)
Report these items for each notebook:
- Failure summary (pass/fail)
- Exact failing cell indices (0-based) and execution_count (if present)
- Short, quoted error messages (truncate noisy tracebacks)
- Likely cause category (dependency/import, file path, HEC-RAS execution, data)
- Suggested next step (what to rerun, what to inspect)
If no errors exist, report “no exceptions detected” and list any warnings worth human review.
Cross-References
Agents (collaborate with):
notebook-runner-- Executes notebooks before you auditnotebook-anomaly-spotter-- Complementary: you find errors, it finds anomaliesexample-notebook-librarian-- Coordinates notebook management
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 · 50 lines · 67 tokens per session scan A 8e5126e115e6
notebook-output-auditor is an agent published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 400 once invoked, about $0.0003 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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