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 prefect-flow-structure-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/prefect-flow-structure-to-orchestra)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/prefect-flow-structure-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/prefect-flow-structure-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-flow-structure-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/prefect-flow-structure-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 | $0.00102 | $0.01707 |
| Opus 5.5 | $0.00041 | $0.00683 |
| Sonnet 5.5 | $0.00020 | $0.00341 |
| Haiku 4.5 | $0.00010 | $0.00171 |
Grade A, and why
prefect-flow-structure-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 21d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill handles conversion of Prefect @flow-level constructs into Orchestra pipeline root fields. Apply it first, before converting individual tasks. It covers scheduling, retries, timeouts, typed parameters, tags, concurrency, and deployment config.
Parameter Mapping
| Prefect construct | Orchestra field | Notes |
|---|---|---|
@flow(name="my-flow") |
name: my-flow |
kebab-case recommended |
CronSchedule(cron="0 2 * * *", timezone="UTC") |
schedule: [{cron: "0 2 * * ? *", timezone: UTC}] |
Prefect's cron is standard 5-field — convert to Orchestra's 6-field AWS EventBridge cron, do NOT copy verbatim |
IntervalSchedule(interval=timedelta(hours=6)) |
schedule: [{cron: "0 */6 * * ? *"}] |
Non-clean intervals → MANUAL note |
RRuleSchedule(...) |
MANUAL note | No rrule support in Orchestra |
def my_flow(env: str = "prod") |
inputs: {env: {type: string, default: prod}} |
int/float→number, str→string, bool→boolean |
@flow(retries=2, retry_delay_seconds=300) |
configuration: {retries: 2, retry_delay: 5} |
Orchestra's retry_delay is MINUTES — convert seconds/60 (round up); cap at 120 — clamp and flag if larger |
@flow(timeout_seconds=3600) |
configuration: {timeout: 3600} |
|
| tag-based concurrency limit | configuration: {concurrency: {max_active: 1, on_limit: QUEUE}} |
Prefect queues runs that hit a tag limit, so set on_limit: QUEUE — Orchestra's default SKIP would drop them. QUEUE_LATEST only if just the latest run matters. + MANUAL note: Prefect's limit is per tag across flows; Orchestra's is per pipeline + environment (+ branch) |
@flow(log_prints=True) |
drop | No equivalent; omit |
@flow(tags=["elt"]) |
tags: [elt] on each task individually (NOT on the group — TaskGroupModel has no tags field) |
|
SecretStr params |
→ prefect-secrets-to-orchestra |
never inline |
Orchestra YAML Structure
version: v1
name: nightly-elt
schedule:
- cron: '0 2 * * ? *'
timezone: UTC
configuration:
retries: 2
retry_delay: 5
timeout: 3600
inputs:
target_env:
type: string
default: prod
row_limit:
type: number
default: 0
optional: true
pipeline:
# ... tasks with tags: [elt]
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.
- 21d ago Changed 03656bd6ea17
- 2mo ago First seen · 125 lines · 102 tokens per session scan A 60ee3e239ec4
prefect-flow-structure-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 102 tokens to every session and 1,707 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-flow-structure-to-orchestra compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prefect-flow-structure-to-orchestraorchestra-hq/orchestra-skills | Skill | 9 | yesterday | MIT | A | 102 | 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 |