Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/queelius/claude-anvilWrote 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/commands/queelius/claude-anvil/notebook)<a href="https://agentmods.dev/commands/queelius/claude-anvil/notebook"><img src="https://agentmods.dev/badge/commands/queelius/claude-anvil/notebook/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/commands/queelius/claude-anvil/notebook"><img src="https://agentmods.dev/badge/commands/queelius/claude-anvil/notebook.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 | $0.00016 | $0.00311 |
| Opus 5.5 | $0.00006 | $0.00124 |
| Sonnet 5.5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
notebook 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 yesterday.
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
/bookwright:notebook
Dispatch the notebook-author agent to draft (or refresh) the paired notebook for a chapter. Separate command from /bookwright:draft so notebooks can be updated without re-drafting prose.
What it does
- Reads the chapter's plan file to find the notebook content checklist and numerical-sanity targets.
- Reads
docs/superpowers/bookwright.config.yamlto determine notebook stack (Python+uv / R+renv / Quarto). - Dispatches the
notebook-authoragent to draft or update the notebook. - The agent executes the notebook end-to-end and reports execution exit code + observed numerical values.
- If execution fails or observed values miss the sanity targets, surfaces the discrepancy for the user to review.
Stack-specific execution commands
- Python+uv+Jupyter:
cd <project-dir>/notebooks && uv run jupyter nbconvert --to notebook --execute <name>.ipynb --output <name>.ipynb - R+renv+RMarkdown:
cd <project-dir>/rmd && Rscript -e 'rmarkdown::render("<name>.Rmd")' - Quarto:
cd <project-dir>/qmd && quarto render <name>.qmd
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.
- yesterday Changed d4173316fd65
- 1mo ago First seen · 24 lines · 16 tokens per session scan A 3bc921da67f6
notebook is a command published in the GitHub repository queelius/claude-anvil (2 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 311 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 2026-08-31.
Other commands, from other repositories
derive
Save a clean reference derivation of a target equation or theorem to derivations/. Draws from course materials (textbook, lecture notes) rather than testing the user.
openehr-explain
One-stop router that explains or looks up any openEHR thing — auto-detects an archetype, a template, an RM/AM/BASE type, an RM structural concept, an ADL idiom, an AQL query or keyword, or a terminology code (replaces /archetype-explain, /template-explain, /type-spec, /rm-structure, /adl-idiom, /terminology).
f5-learn
Project learning, patterns, and code examples.
design-tutorial
Interactive guided tour of Naksha — learn commands through real exercises, discover workflows, and get oriented in under 10 minutes.
init-project-course
Bootstrap a university course or module folder with the canonical teaching structure, guidance, and starter files. Use when creating or migrating a course workspace. Not for checking an existing course without modifying it; use $audit-project-course.
b-animate-dev
Animate and model-check a B machine with probcli.