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 orchestra-hq/orchestra-skills --skill airbyte-server-dagster-to-orchestragit clone --depth 1 https://github.com/orchestra-hq/orchestra-skillsWrote 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/orchestra-hq/orchestra-skills/airbyte-server-dagster-to-orchestra)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/airbyte-server-dagster-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/airbyte-server-dagster-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.
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/airbyte-server-dagster-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/airbyte-server-dagster-to-orchestra.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00110 | $0.01273 |
| Opus 5.5 | $0.00044 | $0.00509 |
| Sonnet 5.5 | $0.00022 | $0.00255 |
| Haiku 4.5 | $0.00011 | $0.00127 |
Grade A, and why
airbyte-server-dagster-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 2mo 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Airbyte Server: Dagster -> Orchestra Conversion
Overview
Self-hosted Airbyte is integrated in Dagster via dagster-airbyte's AirbyteResource, configured with a host and port pointing at your own deployment, plus build_airbyte_assets. In Orchestra the equivalent is a Sync task under the AIRBYTE_SERVER integration, which uses a connection type that stores the server host URL and credentials.
Parameter Mapping
| Dagster concept | Orchestra YAML field | Notes |
|---|---|---|
AirbyteResource(host=, port=) |
connection: |
Orchestra Airbyte Server connection (stores host + credentials) |
build_airbyte_assets(connection_id=...) |
parameters.connection_id |
Airbyte connection UUID — copy verbatim |
| asset materialization | parameters.job_type: sync |
reset for full reload |
destination_tables=[...] |
(not needed) | Whole connection is synced |
| asset key / name | name: |
Human-readable task name |
| upstream asset deps | depends_on: |
Upstream task names/UUIDs |
Orchestra YAML Structure
version: v1
name: <pipeline-name>
pipeline:
<stage-uuid>:
tasks:
<task-uuid>:
integration: AIRBYTE_SERVER
integration_job: AIRBYTE_SERVER_JOB
name: <descriptive name>
connection: <orchestra-airbyte-server-connection-name>
parameters:
connection_id: <airbyte-connection-uuid>
job_type: sync
depends_on: []
condition: null
tags: []
Conversion Steps
- Identify the resource —
AirbyteResource(host=..., port=...)indicates self-hosted; note theconnection_idfrom the asset build. - Create/verify the Orchestra connection — Settings -> Connections -> Airbyte Server, pointing at your host URL and credentials. Note its name.
- Replace assets with a task block — one task per
connection_id. - Set
job_type—syncorreset. - Wire dependencies.
Before / After Example
Dagster (before)
from dagster import Definitions, EnvVar
from dagster_airbyte import AirbyteResource, build_airbyte_assets
airbyte = AirbyteResource(
host="airbyte.internal.mycorp.com", port="8000",
username=EnvVar("AIRBYTE_USER"), password=EnvVar("AIRBYTE_PASSWORD"),
)
crm_assets = build_airbyte_assets(
connection_id="bb112233-4455-6677-8899-aabbccddeeff",
destination_tables=["contacts", "accounts"],
)
defs = Definitions(assets=crm_assets, resources={"airbyte": airbyte})
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.
- 2mo ago First seen · 134 lines · 110 tokens per session scan A 252af1594233
airbyte-server-dagster-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 110 tokens to every session and 1,273 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.
airbyte-server-dagster-to-orchestra compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| airbyte-server-dagster-to-orchestraorchestra-hq/orchestra-skills | Skill | 9 | yesterday | MIT | A | 110 | Claude Code |
| agent-platform-model-registrygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 65 | Claude Code, Codex |
| google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 132 | Claude Code, Codex |
| training-checkwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 35 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| finetuningmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 132 | Claude Code |