Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/orchestra-hq/orchestra-skillsnpx agentmods add skills/orchestra-hq/orchestra-skills/prefect-conditions-to-orchestraWrote 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/prefect-conditions-to-orchestra)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/prefect-conditions-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/prefect-conditions-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/prefect-conditions-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/prefect-conditions-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 | $0.00088 | $0.01427 |
| Opus 5.5 | $0.00035 | $0.00571 |
| Sonnet 5.5 | $0.00018 | $0.00285 |
| Haiku 4.5 | $0.00009 | $0.00143 |
Grade A, and why
prefect-conditions-to-orchestra scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill converts Prefect conditional execution patterns into Orchestra condition: expressions. It covers input-driven branches, runtime output-driven branches, allow_failure patterns, and always-run tasks.
Parameter Mapping
| Prefect construct | Orchestra field | Notes |
|---|---|---|
| Default (no condition) | condition: null |
Orchestra default |
| Input-driven branch | condition: "${{ inputs.flag == true }}" |
Decision known at trigger time |
result = task.submit(); if result.result(): |
upstream PYTHON task with set_outputs: true + downstream condition |
Runtime decision via outputs |
allow_failure=True |
treat_failure_as_warning: true on upstream task |
Downstream continues regardless |
| Skip if no data | condition: "${{ ORCHESTRA.PIPELINE_RUN_TASKS['id'].OUTPUTS['key'] > 0 }}" |
|
| Always run | condition: "${{ True }}" |
Runs even if upstream failed |
.submit(wait_for=[other]) |
depends_on: [other-task-id] |
Dependency without data passing |
.map() over list |
matrix: block on TaskGroupModel |
See prefect-data-passing-to-orchestra |
Orchestra YAML Structure
version: v1
name: conditional-pipeline
pipeline:
stage-check:
tasks:
task-check-new-data:
integration: SNOWFLAKE
integration_job: SNOWFLAKE_RUN_QUERY
parameters:
statement: "SELECT COUNT(*) AS row_count FROM staging.new_records"
depends_on: []
condition: null
tags: []
depends_on: []
stage-process:
tasks:
task-process-records:
integration: PYTHON
integration_job: PYTHON_EXECUTE_SCRIPT
parameters:
command: python scripts/process_records.py
depends_on: []
condition: "${{ ORCHESTRA.PIPELINE_RUN_TASKS['task-check-new-data'].OUTPUTS['row_count'] > 0 }}"
tags: []
depends_on:
- stage-check
stage-skip:
tasks:
task-log-skip:
integration: PYTHON
integration_job: PYTHON_EXECUTE_SCRIPT
parameters:
command: python scripts/log_skip.py
depends_on: []
condition: "${{ ORCHESTRA.PIPELINE_RUN_TASKS['task-check-new-data'].OUTPUTS['row_count'] == 0 }}"
tags: []
depends_on:
- stage-check
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 · 169 lines · 88 tokens per session scan A 46cb5bde14d2
prefect-conditions-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 1,427 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.
prefect-conditions-to-orchestra compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prefect-conditions-to-orchestraorchestra-hq/orchestra-skills | Skill | 9 | yesterday | MIT | A | 88 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |