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 dagster-cross-job-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/dagster-cross-job-to-orchestra)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-cross-job-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-cross-job-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/dagster-cross-job-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-cross-job-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 | $0.00101 | $0.01422 |
| Opus 5.5 | $0.00040 | $0.00569 |
| Sonnet 5.5 | $0.00020 | $0.00284 |
| Haiku 4.5 | $0.00010 | $0.00142 |
Grade A, and why
dagster-cross-job-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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dagster Cross-Job Triggering -> Orchestra
Overview
Dagster cross-job patterns — @run_status_sensor launching a downstream job, @asset_sensor on an upstream asset, and cross-code-location asset dependencies — all have Orchestra equivalents. Orchestra provides two mechanisms:
-
TRIGGER_PIPELINEtask — an explicit pipeline step that triggers another pipeline and waits for it to complete. Use when one pipeline must trigger another mid-flow and wait. -
trigger_events:block — event-driven triggering at the pipeline root. When an upstream pipeline completes, this pipeline starts automatically. This is the cleaner equivalent of@run_status_sensor/@asset_sensor.
@run_status_sensor (SUCCESS, launching a job) -> trigger_events: (preferred)
# Dagster
@run_status_sensor(
run_status=DagsterRunStatus.SUCCESS,
monitored_jobs=[nightly_elt],
request_job=daily_report,
)
def trigger_report_on_elt_success(context):
return RunRequest(run_config={"ops": {"build": {"config": {"env": "prod"}}}})
# Orchestra — daily-report pipeline
version: v1
name: daily-report
trigger_events:
- type: pipeline
pipeline_id: "uuid-of-nightly-elt-pipeline"
statuses: [SUCCEEDED, WARNING]
run_inputs:
env: prod
pipeline:
...
TriggerEventModel fields:
| Field | Required | Notes |
|---|---|---|
type |
yes | Always pipeline |
pipeline_id |
yes | UUID of the upstream pipeline, or "*" for any |
statuses |
no | Default [SUCCEEDED, WARNING] |
run_inputs |
no | Inputs passed to the triggered run |
Multiple entries = OR logic (fires when any upstream completes).
Explicit launch-and-wait -> ORCHESTRA + TRIGGER_PIPELINE
When a pipeline must trigger another and wait before continuing:
task-001:
integration: ORCHESTRA
integration_job: TRIGGER_PIPELINE
name: trigger_reporting
parameters:
pipeline_id: "uuid-of-daily-reporting-pipeline"
run_inputs:
env: prod
branch: null
depends_on: []
condition: null
tags: []
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 · 188 lines · 101 tokens per session scan A 8874b6151ee3
dagster-cross-job-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 1,422 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.
dagster-cross-job-to-orchestra compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dagster-cross-job-to-orchestraorchestra-hq/orchestra-skills | Skill | 9 | yesterday | MIT | A | 101 | 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 |