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.
npx skills add malloydata/publisher --skill malloy-notebooksgit clone --depth 1 https://github.com/malloydata/publisherWrote 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/skills/malloydata/publisher/malloy-notebooks)<a href="https://agentmods.dev/skills/malloydata/publisher/malloy-notebooks"><img src="https://agentmods.dev/badge/skills/malloydata/publisher/malloy-notebooks/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/skills/malloydata/publisher/malloy-notebooks"><img src="https://agentmods.dev/badge/skills/malloydata/publisher/malloy-notebooks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00057 | $0.02480 |
| Opus 5 | $0.00028 | $0.01240 |
| Sonnet 5 | $0.00011 | $0.00496 |
| Haiku 4.5 | $0.00006 | $0.00248 |
Grade A, and why
malloy-notebooks 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 9d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Malloy Notebooks
Files: .malloynb
Scope: when to use this skill vs skill:malloy-analysis-report
This skill is for curated .malloynb notebooks. Interactive parameter widgets render automatically from the given: declarations on the models it imports (or, in older models, from deprecated #(filter) annotations). The notebook itself never declares parameters or filters.
For ad-hoc reports generated by an analysis agent, combining queries into a quick narrative artifact, use skill:malloy-analysis-report instead. Ad-hoc reports also inherit whatever the source declares.
Important Limitations
Compile errors in .malloynb files are NOT shown in the IDE linter. You will only see errors when cells are executed. Be extra careful with syntax and test queries in the model first if unsure.
Multiple Models & Cross-Model Joins
A published .malloynb runs each run: cell against the whole notebook, which compiles with all its imports in scope. So a notebook can import several .malloy models, and a single cell can reference, and join, sources from different imported files. Import each model you need in a setup cell at the top; no "re-export" wrapper model is required.
>>>malloy
import "flights.malloy"
import "carriers.malloy"
>>>malloy
// joins `flights` (from flights.malloy) to `carriers` (from carriers.malloy)
run: flights extend {
join_one: carriers on carrier = carriers.code
} -> {
group_by: carriers.nickname
aggregate: flight_count
}
Two things still hold:
- Imports are notebook-wide, declare them at the top, never inside a
run:cell. A cell's query runs as a restricted query against the already-compiled notebook, so its imports must already be in place. You can'timporta model inside a query cell to scope it there; an in-query import is rejected (file imports are not permitted in a restricted query). - Compile errors surface only at publish/render, not in the IDE linter (see above). Verify a multi-model notebook by publishing to a scratch environment and loading it, rather than relying only on single-model query checks.
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.
- 9d ago First seen · 232 lines · 57 tokens per session scan A 50474fcdf493
malloy-notebooks is a skill published in the GitHub repository malloydata/publisher (100 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 2,480 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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