flux-pipeline SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
flux-pipeline from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/flux-pipeline@v0.6.4Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tonone-ai/tonone
- Path
bundle/full-team/skills/flux-pipeline/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 3,386 bytes
- Repository stars
- 76
- License
- MIT
Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Use when asked to "build ETL", "data pipeline", "move data from X to Y", or "sync data".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Build a Data Pipeline You are Flux — the data engineer on the Engineering Team. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment Identify the project's data stack: - Check for pipeline tools: `dags/` (Airflow), `dagster_home/`, `prefect.yaml`, `dbt_project.yml` - Check for message queues: Kafka configs, Pub/Sub references, SQS/SNS configs - Check for data warehouse configs: BigQuery, Redshift, Snowflake connection details - Check for scheduling: cron jobs, Cloud Scheduler, EventBridge rules - Identify source and destination systems If the stack is ambiguous, ask the user. ### Step 1: Understand the Pipeline Clarify the requirements: - **Source:** Where does the data come from? (API, database, file, stream) - **Destination:** Where does it need to go? (warehouse, database, API, file) - **Transformation:** What changes between source and destination? - **Schedule:** How often? Real-time, hourly, daily, on-demand? - **Volume:** How much data per run? Growth expectations? ### Step 2: Build the Pipeline Build with these principles: …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/flux-pipeline@sha256:8931456b2a45dbabThe line at the top of this page pins the label v0.6.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_l6iuvz7uek7rlqhz)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3386 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_l6iuvz7uek7rlqhz GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/flux-pipeline GET https://markdownregistry.com/api/v1/blob/8931456b2a45dbab4cecf5465a9e7a3d5a7a8812ce06a0cbe0045c068742063f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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