What is dagster-io-managers-to-orchestra?

A conversion guide for moving data passed between Dagster steps into Orchestra outputs. Dagster is a data-pipeline tool whose steps can pass values directly; Orchestra requires named outputs that later steps reference explicitly.

Translating returned values, input/output wiring, and IO managers—components that save and load step data—into Orchestra output settings and references.

It makes hidden data flow visible and avoids trying to pass large data objects between tasks. Instead, tasks pass small values such as IDs, counts, and status flags, while large data stays in external storage.

dagster-io-managers-to-orchestra — Skill by orchestra-hq

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-io-managers-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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-io-managers-to-orchestra/github.svg)](https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-io-managers-to-orchestra)

Your own site

<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-io-managers-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-io-managers-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-io-managers-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-io-managers-to-orchestra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,017 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.

Model	Per session	Once invoked
Fable 5.1	$0.00097	$0.02017
Opus 5.5	$0.00039	$0.00807
Sonnet 5.5	$0.00019	$0.00403
Haiku 4.5	$0.00010	$0.00202

Measured 25d ago against content hash 37eb0c9528d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dagster-io-managers-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 25d 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-io-managers-to-orchestra/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dagster Data Passing (Outputs / IO Managers) -> Orchestra Outputs

Overview

Dagster passes data between ops/assets implicitly: an op returns a value, an IO manager persists it, and the downstream op receives it as a typed input. This is one of Dagster's core abstractions.

Orchestra has no shared in-process object space and no IO-manager layer. It uses a typed outputs system: a task explicitly sets named outputs (with set_outputs: true and the Orchestra SDK's set_output() called on an instantiated OrchestraSDK client — not a bare imported function — or automatic capture for SQL tasks), and downstream tasks or conditions reference them via ${{ ORCHESTRA.PIPELINE_RUN_TASKS['task_id'].OUTPUTS['key'] }}.

Key architectural difference: Dagster data flow is implicit and can carry arbitrary objects; Orchestra outputs are explicit and small (IDs, counts, flags). Large data is staged externally and only the reference is passed.

Pattern Mapping

Dagster pattern	Orchestra equivalent
`return value` consumed by downstream op	`client.set_output('return_value', value)` + downstream reference
Custom `IOManager` persisting to S3/warehouse	Explicit write in the script; pass the path/table as an output
`Output(value, metadata=...)`	`client.set_output('key', value)` (metadata is observability only)
IO-manager-loaded input	Downstream task reads from S3/warehouse, or via `${{ ...OUTPUTS... }}` for small values
Branch on a returned value	`condition:` expression on the downstream stage
Large DataFrame passed between ops	Stage in S3/Snowflake; pass only the path/table name

Setting Outputs in a Python Task

stage-extract:
  tasks:
    get-row-count:
      integration: PYTHON
      integration_job: PYTHON_EXECUTE_SCRIPT
      name: get_row_count
      connection: my_python_conn_12345
      parameters:
        command: 'python scripts/get_row_count.py'
        python_version: '3.12'
        set_outputs: true          # required
      depends_on: []

Read the full file on GitHub · 201 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.

25d ago Changed · +2 lines 37eb0c9528d0
2mo ago First seen · 199 lines · 97 tokens per session scan A 9e5b4496d645

Subscribe to this mod's changes

dagster-io-managers-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 2,017 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.

Data and AI

dagster-io-managers-to-orchestra next to 6 skills from other repositories
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