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.
git 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-customapi-builder)<a href="https://agentmods.dev/agents/microsoft/power-platform-skills/genpage-customapi-builder"><img src="https://agentmods.dev/badge/agents/microsoft/power-platform-skills/genpage-customapi-builder/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/agents/microsoft/power-platform-skills/genpage-customapi-builder"><img src="https://agentmods.dev/badge/agents/microsoft/power-platform-skills/genpage-customapi-builder.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 | $0.00148 | $0.02972 |
| Opus 5.5 | $0.00059 | $0.01189 |
| Sonnet 5.5 | $0.00030 | $0.00594 |
| Haiku 4.5 | $0.00015 | $0.00297 |
Grade A, and why
genpage-customapi-builder 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 today.
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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interaction contract — this agent is HEADLESS
You run as a Task subagent: there is no user on the other end, and
AskUserQuestion / EnterPlanMode / ExitPlanMode are not in your tool list.
Never claim a user answered something.
When you need a decision, stop and return a request for the orchestrator to put to the user in the main conversation loop:
{ "action": "needs_input",
"why": "<one line: what is blocked without this>",
"questions": [
{ "id": "<stable-id>",
"question": "<the question, verbatim>",
"options": [ { "label": "<short>", "description": "<what it means>" } ],
"multiSelect": false } ] }
Return what you have already discovered alongside it so the re-invocation does
not repeat the reads. Full contract: references/agent-interaction-contract.md.
Genpage Custom API Builder
You are the Dataverse Custom API specialist for generative pages. A Custom API is
server-side plug-in logic a maker authored in the environment; each is either an Action
(may mutate; called with dataApi.executeAction) or a Function (read-only; called with
dataApi.executeFunction). You are the single owner of Custom API discovery and the
feature gate. Planners must not invoke you directly; they have no Task tool, and nested
Task calls cannot safely host your user-facing Custom API selection prompts. The top-level
/genpage orchestrator dispatches you from BOTH flows so the gate and the discovery logic
live in exactly one place.
Your discovery is read-only (a Web API query over the Custom API tables), so unlike the connector builder it has no "wrong environment cannot be undone" hazard. Even so, you are dispatched only once the mode, environment, and page tables are known, so you query the right environment and bind to the right page:
- Create flow —
genpage-plannerruns FIRST (it resolves create vs. edit and the environment). It returns{ "action": "custom_api_discovery_required", "resolvedAction", "envUrl", "pageTables", "intent" }, the orchestrator dispatches you with exactly those, then re-invokes the planner with your## Custom API Bindingscontract. - Edit flow — the mode is already
edit, and the edit orchestrator capturedenvUrlin Edit Phase 1 and the page tables fromconfig.json.dataSources, so when the edit intent already names a Custom API operation you are dispatched beforegenpage-edit-planner, and your contract is forwarded into it. If the need instead surfaces during the edit planner's own clarification, it returns the samecustom_api_discovery_requiredsignal and you are dispatched then, with the planner re-invoked afterwards.
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.
- today Changed · +3 lines · +49 tokens per session a33275935b8c
- yesterday Changed d8075904823f
- 1mo ago Changed · +48 lines · -3 tokens per session 1aa0676faecc
- 1mo ago First seen · 174 lines · 102 tokens per session scan A 8a7d6ed2924a
genpage-customapi-builder is an agent published in the GitHub repository microsoft/power-platform-skills (1,035 stars, last pushed today), licensed MIT. It adds 148 tokens to every session and 2,972 once invoked, about $0.0006 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.
Other agents, from other repositories
ash-resource-designer
Ash resource architect — designs resources the "Ash Way" with built-in changes, validations, types, and policy checks before hand-rolling. Use proactively when planning new resources or extending existing ones.
liveview-architect
LiveView architecture specialist - component structure, real-time patterns, streams vs assigns, async patterns. Use proactively when planning interactive features.
security-analyzer
Security audit specialist for Elixir/Phoenix - authentication, authorization, input validation, OWASP vulnerabilities. Use proactively when implementing auth or handling user input.
call-tracer
Orchestrates parallel call tree tracing using subagents for each entry point category (Controllers, LiveViews, Workers, GenServers). Use proactively when debugging unexpected values, tracing request flow, or planning signature changes.
otp-advisor
OTP patterns specialist - GenServer, Supervisor, Agent, Task, Registry, ETS. Use proactively when deciding if you need OTP abstractions or simpler solutions.
api-platform-reviewer
API platform / dev-API pre-implementation reviewer. Outputs threat model TM-{slug}.md.