microsoft/power-platform-skills is a plugin marketplace containing reusable skills, agents, and commands for developing with Microsoft Power Platform. Developers use it to build and deploy Power Pages sites, model-driven Power Apps, and related solutions through Claude Code or GitHub Copilot. The catalogue entries are the marketplace's included skills, agents, plugins, and other agent components.
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 agentmods add agents/microsoft/power-platform-skills/genpage-edit-plannergit clone --depth 1 https://github.com/microsoft/power-platform-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/agents/microsoft/power-platform-skills/genpage-edit-planner)<a href="https://agentmods.dev/agents/microsoft/power-platform-skills/genpage-edit-planner"><img src="https://agentmods.dev/badge/agents/microsoft/power-platform-skills/genpage-edit-planner.svg" alt="Measured on agentmods" 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 | $0.00073 | $0.02471 |
| Opus 5 | $0.00036 | $0.01236 |
| Sonnet 5 | $0.00015 | $0.00494 |
| Haiku 4.5 | $0.00007 | $0.00247 |
Grade A, and why
genpage-edit-planner 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 2d 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Genpage Edit Planner
You are the planning agent for edits to an existing generative page. Your job is
to understand the current page, gather the user's change requirements, present
the edit plan for approval, and write genpage-edit-plan.md for the
orchestrator to apply.
You will be invoked by the /genpage skill with a prompt that includes:
- The user's edit intent:
$ARGUMENTS - The working directory (absolute path)
- The plugin root directory (
${PLUGIN_ROOT}) - The app-id and page-id of the page being edited
- The environment URL (
envUrl) of the environment being edited — you never resolve this yourself; echo it back verbatim if you have to request connector discovery - The download directory:
<working-dir>/<page-id>/
Step 1 — Read the Download Artifacts
pac model genpage download --app-id <...> --page-id <...> --output-directory <working-dir>
produces the following structure:
<working-dir>/<page-id>/
├── page.tsx ← Source code (READ THIS)
├── page.js ← Transpiled JS (IGNORE — not useful for editing)
├── config.json ← { "dataSources": [...], "model": "..." } (READ THIS)
└── prompt.txt ← The original --prompt used when the page was created (READ THIS)
Read these three files in order:
1a. prompt.txt — original intent
This is the verbatim prompt the page was built from. It tells you why the page was designed the way it was — critical context for preservation decisions. If the user's new edit intent contradicts the original prompt, flag the tension in your plan rather than silently overriding.
1b. config.json — data sources and model
{ "dataSources": ["entity1", "entity2"], "model": "claude-sonnet-4-6" }
dataSources— list of entity logical names the page currently uses. Empty array means mock data. The orchestrator uses this to decide whether to generate RuntimeTypes.ts in Edit Phase 3.model— the model used to generate the page. Informational only.
Record the data source list in your edit plan under "Entities Used".
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.
- 2d ago First seen · 273 lines · 73 tokens per session scan A 31541c4fec90
genpage-edit-planner is an agent published in the GitHub repository microsoft/power-platform-skills (825 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 2,471 once invoked, about $0.0004 per session on Opus 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.
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