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 fivetran-prefect-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/fivetran-prefect-to-orchestra)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/fivetran-prefect-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/fivetran-prefect-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/fivetran-prefect-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/fivetran-prefect-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 | $0.00092 | $0.01054 |
| Opus 5.5 | $0.00037 | $0.00422 |
| Sonnet 5.5 | $0.00018 | $0.00211 |
| Haiku 4.5 | $0.00009 | $0.00105 |
Grade A, and why
fivetran-prefect-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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Converts Prefect Fivetran sync tasks into Orchestra pipeline YAML. A Prefect FivetranConnector block plus trigger_sync_and_wait_for_completion() maps directly to a single Orchestra task with integration: FIVETRAN and integration_job: FIVETRAN_SYNC_ALL. Orchestra always waits for sync completion — no additional configuration is required.
Parameter Mapping
| Prefect construct | Orchestra field | Notes |
|---|---|---|
FivetranConnector.load("...") |
connection: |
Stores API key + secret; create in Connectors → Fivetran |
connector_id (slug) |
parameters.connector_id |
Short slug (e.g. bronzing_regularly), not a UUID |
trigger_sync_and_wait_for_completion() |
(always waits) | No extra config needed; Orchestra polls until done |
FivetranSyncResult return value |
(discard) | No downstream pass-through needed; use alerts for status |
Orchestra YAML Structure
version: v1
name: fivetran-flow
pipeline:
stage-001:
tasks:
task-001:
integration: FIVETRAN
integration_job: FIVETRAN_SYNC_ALL
name: sync_salesforce
connection: fivetran_prod_12345
parameters:
connector_id: bronzing_regularly
depends_on: []
condition: null
tags: []
Conversion Steps
- Identify the
FivetranConnector.load("...")block name — this becomesconnection: - Find the
connector_idslug in the Prefect block or Fivetran UI (Connectors page URL) - Set
integration: FIVETRANandintegration_job: FIVETRAN_SYNC_ALL - Set
parameters.connector_idto the slug - Add credentials to the Orchestra Fivetran connection (Connectors → Fivetran → Connect) — never put API keys in YAML
- If a dbt task follows, add it as a separate task in
stage-001(or a new stage) withdepends_on: [task-001] - Add an
alerts:block if the Prefect flow had on_failure/on_completion hooks (seeprefect-alerts-to-orchestra)
Before / After Example
Prefect (before)
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 · 100 lines · 92 tokens per session scan A bdfdc5e900b8
fivetran-prefect-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 1,054 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.
fivetran-prefect-to-orchestra compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fivetran-prefect-to-orchestraorchestra-hq/orchestra-skills | Skill | 9 | yesterday | MIT | A | 92 | 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 |