dagster-connections-to-orchestra

dagster-connections-to-orchestra is a skill for Claude Code from orchestra-hq/orchestra-skills. It costs 98 tokens per session (3,226 once invoked), scanned A, original, MIT.

A conversion guide for moving Dagster resources that hold credentials into Orchestra connections. Dagster is a tool for defining data pipelines, while Orchestra stores these connections in its settings and refers to them by name.

In plain words
What is it for?
Converting Snowflake, Amazon S3, dbt, and other credentialed Dagster resources into Orchestra pipeline configuration.
Why use it?
It removes the guesswork around translating secrets, resource names, and environment variables between the two systems. It also prevents creating connection names for code that uses no credentials.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the migrate-to-orchestra plugin — 52 skills shipped together

Good fit Converting Snowflake, Amazon S3, dbt, and other credentialed Dagster resources into Orchestra pipeline configuration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra
Install

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.

Any agent
npx skills add orchestra-hq/orchestra-skills --skill dagster-connections-to-orchestra
Clone the repo
git clone --depth 1 https://github.com/orchestra-hq/orchestra-skills

Made for: Claude Code.

Or install migrate-to-orchestra, the plugin that ships this one along with the rest of its 52 skills.

Wrote 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.

agentmods badge for dagster-connections-to-orchestra

README.md
[![agentmods](https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra/github.svg)](https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra)
Your own site
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra/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.

agentmods 80×15 button for dagster-connections-to-orchestra

Your own site · 80×15
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-connections-to-orchestra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.03226
Opus 5.5 $0.00039 $0.01290
Sonnet 5.5 $0.00020 $0.00645
Haiku 4.5 $0.00010 $0.00323

Measured 9d ago against content hash ebafc9898798, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dagster-connections-to-orchestra 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.

skills/migrate-to-orchestra/skills/dagster-connections-to-orchestra/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dagster Resources -> Orchestra Connections

Overview

Dagster stores credentials in resources — typically ConfigurableResource subclasses (or built-in integration resources like SnowflakeResource, S3Resource, DbtCliResource) wired into Definitions(resources={...}), with secret values supplied via EnvVar. Orchestra connections serve the same purpose but live outside the pipeline code — set up in the Orchestra UI (Settings -> Connections), or through the public API / Orchestra MCP — and are referenced by name in pipeline YAML. This skill maps common Dagster resources to their Orchestra equivalents and covers naming, environment patterns, and secrets.


Connection Name Format

connection: my_snowflake_12345   # format: descriptive-name_XXXXX (5-digit suffix from UI)

The 5-digit suffix is assigned by Orchestra when the connection is created — never invent it. Read it back rather than asking someone to find it: connections are managed through the public API and the Orchestra MCP server as well as the UI, so listing the workspace's connections returns each one's descriptive_name_NNNNN id directly. Fall back to copying it from the UI only where neither is available.

No resource referenced? If the @op/@asset doesn't actually instantiate a credentialed resource — pure computation, no external client, no secrets — don't invent a connection name or a fake env var placeholder just to fill the field:

connection: null   # no distinct resource in the source; Orchestra uses the workspace default for this integration

Only set a specific name_XXXXX or ${{ ENV.VAR }} when the source code actually references a distinct resource/credential.

This extends to task parameters that duplicate connection-level scope, too — e.g. Power BI's workspace_id, or any other parameter whose value is also stored on the Orchestra connection itself. If the source code just reads the same single value everywhere (one env var, one resource-level config field) rather than genuinely varying it per task, leave that parameter null/omitted and let the connection's own configured value apply. Only carry an explicit value through (literal, input, or ${{ ENV.VAR }}) when a specific task truly needs to override it — e.g. targeting a different Power BI workspace than the one configured on the connection.

Read the full file on GitHub · 215 lines

Changes

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.

  1. 9d ago Changed ebafc9898798
  2. 10d ago Changed · +1 lines 402f92fbc823
  3. 21d ago Changed · +14 lines a6bfb73d6eaf
  4. 25d ago Changed · +19 lines ab78d3379bd1
  5. 1mo ago Changed 52b16e1e5617
  6. 2mo ago First seen · 181 lines · 98 tokens per session scan A 719a55742176

Subscribe to this mod's changes

dagster-connections-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 3,226 once invoked, about $0.0004 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.

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