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 wardawgmalvicious/agent-config --skill fabric-dataflowgit clone --depth 1 https://github.com/wardawgmalvicious/agent-configWrote 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/wardawgmalvicious/agent-config/fabric-dataflow)<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/fabric-dataflow"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-dataflow/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/wardawgmalvicious/agent-config/fabric-dataflow"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-dataflow.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 | $0.00230 | $0.05652 |
| Opus 5.5 | $0.00092 | $0.02261 |
| Sonnet 5.5 | $0.00046 | $0.01130 |
| Haiku 4.5 | $0.00023 | $0.00565 |
Grade A, and why
fabric-dataflow 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 14d 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 — 446 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Dataflow Gen2 (the Dataflow item)
Dataflow Gen2 is the Power Query item in Fabric Data Factory: a low-code transformation surface that ingests, reshapes and loads data without code. This skill covers the item as Git and REST see it — the files on disk, the API that writes them, and the limits that decide whether a design works.
The product name and the item type differ, and both are load-bearing.
Everything a user types says Dataflow Gen2; the .platform file, the
ItemType enum and the REST namespace all say Dataflow. The Git
folder is <display name>.Dataflow.
"Gen2" no longer implies a choice. Since April 2026 the option to create a Dataflow Gen2 without CI/CD and Git support is gone, and every new item is created with it. Items created before that keep working, and the docs still split behaviour by which kind you have — so when a page says "applies to Dataflow Gen2 with CI/CD support", that is now the default case and the non-CI/CD case is legacy.
1. What is on disk
| File | Required | Contents |
|---|---|---|
mashup.pq |
yes | The Power Query document — every query, as M |
queryMetadata.json |
yes | Query options: load flags, groups, connections, compute settings |
<name>.mdf |
no | A Mapping Data Flow transform; there can be several |
.platform |
— | Item metadata — displayName, logicalId |
Serialization mechanics — EOF newlines, CRLF/LF, .gitattributes — are
in the fabric-git-serialization rule, which globs this folder too. M
style conventions are the coding-m rule's, which globs mashup.pq.
Neither is restated here.
2. queryMetadata.json
{ "formatVersion": "202502", "name": "SampleDataflowGen",
"computeEngineSettings": { "allowFastCopy": true, "maxConcurrency": 1 },
"queriesMetadata": { "publicholidays": {
"queryId": "…", "queryName": "publicholidays", "loadEnabled": true } },
"connections": [ { "path": "Lakehouse", "kind": "Lakehouse",
"connectionId": "{\"ClusterId\":\"…\",\"DatasourceId\":\"…\"}" } ] }
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 14d ago Changed ad74bda13430
- 16d ago Changed · +3 lines 60f05b3a833a
- 19d ago Changed · +11 lines 745e3a8ad74a
- 1mo ago First seen · 432 lines · 230 tokens per session scan A 2bfab00de2dc
fabric-dataflow is a skill published in the GitHub repository wardawgmalvicious/agent-config (1 stars, last pushed 9d ago), licensed MIT. It adds 230 tokens to every session and 5,652 once invoked, about $0.0009 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 2026-09-13.
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