power-automate-documentation

power-automate-documentation is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 72 tokens per session (3,521 once invoked), scanned A, original, MIT.

A documentation tool for examining exported Power Automate solutions, which are packages containing Microsoft workflow automations and their settings.

In plain words
What is it for?
It is for documenting flows, mapping connection references, auditing a solution, and showing which flows interact with external systems or data.
Why use it?
The connections and dependencies between flows can be hard to see from the flow names alone. This explains what each flow does and where it reads, writes, or deletes data outside itself.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit It is for documenting flows, mapping connection references, auditing a solution, and showing which flows interact with external systems or data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/power-automate-documentation
About the project

microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.

microsoft/cat-agent-skills · 93 stars · on GitHub

Install

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.

Any agent
npx skills add microsoft/cat-agent-skills --skill power-automate-documentation
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for power-automate-documentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/power-automate-documentation/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/power-automate-documentation)
Your own site
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/power-automate-documentation"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/power-automate-documentation/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.

agentmods 80×15 button for power-automate-documentation

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/power-automate-documentation"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/power-automate-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,521 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.03521
Opus 5.5 $0.00029 $0.01408
Sonnet 5.5 $0.00014 $0.00704
Haiku 4.5 $0.00007 $0.00352

Measured 1mo ago against content hash 61734a905c94, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

power-automate-documentation 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 1mo 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.

submissions/power-automate-documentation/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are producing a technical reference document for a Power Automate solution export: what each flow does, in plain English, and every place it reaches outside itself to read, write, or delete data. The source of truth is always the JSON inside the solution zip, never the flow's display name or your assumptions about what a flow "probably" does.

Inventory before you narrate. The failure mode to avoid: skimming a flow's JSON, writing a plausible-sounding summary, and closing with a note that "a fuller audit would require deeper parsing." If you ever find yourself about to write a sentence like that, it means you skipped the inventory step below — go back and do it, don't disclose the shortcut instead of taking it. Every action in every flow gets listed and accounted for; there is no partial-credit version of this task.

Solution Zip Anatomy

An unpacked solution zip has this shape:

  • solution.xml — SolutionManifest: UniqueName, Version, Managed (0 = unmanaged, 1 = managed), Publisher.
  • customizations.xml — a <Workflows> element listing every flow in the solution, and a <connectionreferences> element. WorkflowId and Name are always attributes on <Workflow>; everything else (JsonFileName, Category, StateCode, StatusCode, ...) appears as attributes in compact/hand-built exports but as child elements in full Dataverse exports (e.g. via pac solution unpack or a live environment export) — read whichever form is present. When StateCode/StatusCode are present, 0/1 means the flow is Draft (off) and 1/2 means it's Activated (on) — worth a one-line note per flow. <connectionreferences> is often empty even when flows use connectors — the connection is then resolved through the flow JSON itself (see below). Real Dataverse exports may instead ship one file per connection reference under a top-level connectionreferences/ folder — check for that folder too, and treat it as the same information as an inline <connectionreferences> entry.
  • Workflows/*.json — one file per flow, keyed at properties.definition.triggers and properties.definition.actions, using the standard Logic Apps workflow-definition schema. Full exports also carry properties.connectionReferences — see below.

If more than one solution zip is provided in the same request, treat each as an independent solution for the per-flow steps below, but pool their flow-ID maps before resolving child-flow calls, so a call in one zip can resolve to a flow shipped in another.

Read the full file on GitHub · 158 lines

Files

What ships with it

2 files 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.

Changes

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.

  1. 1mo ago First seen · 158 lines · 72 tokens per session scan A 61734a905c94

Subscribe to this mod's changes

power-automate-documentation is a skill published in the GitHub repository microsoft/cat-agent-skills (93 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 3,521 once invoked, about $0.0003 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 2026-09-03.

Related

Other skills, from other repositories

ocr-pipeline-and-quality

Xberg OCR backends, preprocessing, caching, page acceptance, hOCR, tables, cross-backend quality. Use for OCR behavior or A/B quality work.

xberg-io/xberg · 33 tokens

pdf-backends

Xberg PDF extraction: native/Pdfium backend selection, rendering, encryption, OCR fallback, capability gaps. Use for PDF engine work.

xberg-io/xberg · 28 tokens

add-sharepoint

Adds SharePoint Online connector to a Power Apps code app. Use when reading lists, managing documents, or integrating with SharePoint sites. Can also create new SharePoint lists.

microsoft/power-platform-skills · 39 tokens

excel2json

An Excel conversion tool that turns worksheet data into JSON, a structured text format commonly used by programs and web APIs. It supports row-based, column-based, and two-dimensional output, and converts dates to a standard text form.

CoderWanFeng/python-office · 51 tokens

rag-web-fallback

Only reach for external web search when the local corpus comes back empty or clearly insufficient. Forces the agent to try knowledge-rag first, then explicitly document why it needed to escalate. Prevents wasted API cost, latency, and (in air-gapped deployments) accidental network calls.

lyonzin/knowledge-rag · 61 tokens

hermes3000-writing

Use Hermes3000 to plan, draft, revise, save, check consistency, and export long-form manuscripts through the Hermes3000 AI writing portal API. Use for novels, fiction series, nonfiction books, whitepapers, long reads, chapter outlines, character/world-building, style guides, consistency memory, and DOCX/PDF/EPUB/HTML…

HybridAIOne/hybridclaw · 78 tokens