Dagster is a platform for developing, running, and observing data assets, such as datasets and the processes that produce them. It is used to organize and automate data workflows.
Borrowing it
Nothing to install: this file belongs to dagster-io/dagster. 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/dagster-io/dagster/master/.claude/skills/dagster-docs-skill/SKILL.mdgit clone --depth 1 https://github.com/dagster-io/dagsterWrote 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/dagster-io/dagster/dagster-docs-skill)<a href="https://agentmods.dev/skills/dagster-io/dagster/dagster-docs-skill"><img src="https://agentmods.dev/badge/skills/dagster-io/dagster/dagster-docs-skill/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/dagster-io/dagster/dagster-docs-skill"><img src="https://agentmods.dev/badge/skills/dagster-io/dagster/dagster-docs-skill.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 | $0.00029 | $0.00987 |
| Opus 5 | $0.00015 | $0.00494 |
| Sonnet 5 | $0.00006 | $0.00197 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
dagster-docs 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Prerequisites
-
Always ensure
docs/node_modulesexists before running any commands- Check first: Look for
docs/node_modules/directory - If missing: Run
yarn installin/docsto install dependencies - Command:
cd /docs; yarn install
- Check first: Look for
-
Always ensure
docs/docs/api/**/*.mdxfiles exist before runningyarn start- Check first: Look for
docs/docs/api/**/*.mdxfiles - If missing: Run
yarn build-api-docsin the docs root - Command:
cd /docs; yarn build-api-docs
- Check first: Look for
Related documentation
- Audiences: See
audiences.mdfor descriptions of primary audiences. - Formatting and style: See
docs/docs/about/contributing-docs/formatting-style.mdfor formatting and style conventions. - Content model: See
docs/docs/about/contributing-docs/content-modelfor an explanation of the structure and types of content included in Dagster docs.
Section-specific guidance
docs/docs/about
Audiences
All
Guidance
docs/docs/about/changelog.md is automatically populated from /CHANGES.md through a custom React component. Do not edit changelog.md directly.
docs/docs/api
Audiences
- Data pipeline builders
- Data platform owners
Guidance
.mdx files are generated from .rst files in
docs/sphinx/sections/api and should not be directly edited. Instead, update the .rst file or the docstrings in /python_modules.
docs/docs/dagster-basics-tutorial
Audiences
- Data pipeline builders
docs/docs/deployment
Audiences
- Data platform owners
docs/docs/examples
Audiences
- Data pipeline builders
Examples
docs/docs/examples/full-pipelines/bluesky
docs/docs/getting-started
Audiences
- Data pipeline builders
docs/docs/guides
Audiences
- Data pipeline builders
Guidance
Most subdirectories in docs/docs/guides correspond to phases in the data engineering lifecycle:
- Build: Creating data pipelines with core Dagster abstractions, particularly projects, assets, resources, and components.
- Automate: Automating data pipelines with declarative automation, schedules, and sensors.
- Operate: Managing pipeline operations with run configuration, environment variables and secrets, and concurrency.
- Log and debug: Understanding built-in structured event logs and raw compute logs, configuring custom loggers, capturing Python logs, and debugging assets during execution with
pdb. - Observe: Using alerts, the Dagster+ asset catalog, asset freshness policies, and Insights to observe data pipelines.
- Test: Testing assets and pipelines in Dagster to ensure data remains consistent and fresh.
What ships with it
1 file 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.
- 9d ago First seen · 141 lines · 29 tokens per session scan A dab1322ee32d
dagster-docs is a skill published in the GitHub repository dagster-io/dagster (16,128 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 987 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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marimo-pair
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fill-model-descriptions
Fill missing and refresh obsolete model descriptions in packages/llm-info/data/models.yml by querying OpenRouter and provider documentation. Use when the user asks to populate model descriptions, enrich the model catalog, or curate descriptions after running pnpm sync-models.
chdb-datastore
Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake…