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 agentmods add skills/monte-carlo-data/mc-agent-toolkit/generate-validation-notebooknpx skills add monte-carlo-data/mc-agent-toolkit --skill generate-validation-notebookgit clone --depth 1 https://github.com/monte-carlo-data/mc-agent-toolkitWrote 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/monte-carlo-data/mc-agent-toolkit/generate-validation-notebook)<a href="https://agentmods.dev/skills/monte-carlo-data/mc-agent-toolkit/generate-validation-notebook"><img src="https://agentmods.dev/badge/skills/monte-carlo-data/mc-agent-toolkit/generate-validation-notebook.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 | $0.00027 | $0.06564 |
| Opus 5 | $0.00014 | $0.03282 |
| Sonnet 5 | $0.00005 | $0.01313 |
| Haiku 4.5 | $0.00003 | $0.00656 |
Grade A, and why
generate-validation-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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- monte-carlo-validation-notebook — 94% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 678 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tip: This skill works well with Sonnet. Run
/model sonnetbefore invoking for faster generation.
Generate a SQL Notebook with validation queries for dbt changes.
Arguments: $ARGUMENTS
Parse the arguments:
- Target (required): first argument — a GitHub PR URL or local dbt repo path
- MC Base URL (optional):
--mc-base-url <URL>— defaults tohttps://getmontecarlo.com - Models (optional):
--models <model1,model2,...>— comma-separated list of model filenames (without.sqlextension) to generate queries for. Only these models will be included. By default, all changed models are included up to a maximum of 10.
Setup
Prerequisites:
gh(GitHub CLI) — required for PR mode. Must be authenticated (gh auth status).python3— required for helper scripts.pyyaml— install withpip3 install pyyaml(orpip install pyyaml,uv pip install pyyaml, etc.)
Note: Generated SQL uses ANSI-compatible syntax that works across Snowflake, BigQuery, Redshift, and Athena. Minor adjustments may be needed for specific warehouse quirks.
This skill includes two helper scripts in ${CLAUDE_PLUGIN_ROOT}/skills/generate-validation-notebook/scripts/:
resolve_dbt_schema.py- Resolves dbt model output schemas fromdbt_project.ymlrouting rules and model config overrides.generate_notebook_url.py- Encodes notebook YAML into a base64 import URL and opens it in the browser.
Mode Detection
Auto-detect mode from the target argument:
- If target looks like a URL (contains
://orgithub.com) -> PR mode - If target is a path (
.,/path/to/repo, relative path) -> Local mode
Context
This command generates a SQL Notebook containing validation queries for dbt changes. The notebook can be opened in the MC Bridge SQL Notebook interface for interactive validation.
The output is an import URL that opens directly in the notebook interface:
<MC_BASE_URL>/notebooks/import#<base64-encoded-yaml>
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 678 lines · 27 tokens per session scan A 4c74be9a167f
generate-validation-notebook is a skill published in the GitHub repository monte-carlo-data/mc-agent-toolkit (91 stars, last pushed 11d ago), licensed Apache-2.0. It adds 27 tokens to every session and 6,564 once invoked, about $0.0001 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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