setup-pipeline

setup-pipeline is a skill for Claude Code from microsoft/power-platform-skills. It costs 118 tokens per session (10,523 once invoked), scanned A, original, MIT.

A setup process for Power Platform Pipelines, Microsoft’s built-in tool for moving Power Pages solutions between environments automatically. It creates the pipeline configuration in Dataverse without external CI/CD infrastructure.

In plain words
What is it for?
Use it to create a Power Platform deployment pipeline for Power Pages and prepare automated solution deployments between environments.
Why use it?
It reduces manual deployment work and provides a repeatable path for promoting a site between environments such as development, testing, and production. It requires the site to be packaged as a solution first.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

Part of the power-pages plugin — 29 skills, 5 agents shipped together

Good fit Use it to create a Power Platform deployment pipeline for Power Pages…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/power-platform-skills/setup-pipeline
About the project

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.

microsoft/power-platform-skills · 829 stars · on GitHub · aka.ms

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/power-platform-skills --skill setup-pipeline
Clone the repo
git clone --depth 1 https://github.com/microsoft/power-platform-skills

Made for: Claude Code.

Or install power-pages, the plugin that ships this one along with the rest of its 29 skills, 5 agents.

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 setup-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/power-platform-skills/setup-pipeline.svg)](https://agentmods.dev/skills/microsoft/power-platform-skills/setup-pipeline)
Your own site
<a href="https://agentmods.dev/skills/microsoft/power-platform-skills/setup-pipeline"><img src="https://agentmods.dev/badge/skills/microsoft/power-platform-skills/setup-pipeline.svg" alt="Measured on agentmods" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,523 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00118 $0.10523
Opus 5 $0.00059 $0.05261
Sonnet 5 $0.00024 $0.02105
Haiku 4.5 $0.00012 $0.01052

Measured 2d ago against content hash 269e3ab01cc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

setup-pipeline scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-pipeline.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Use Node.js `https` module for all Dataverse calls (curl has encoding issues on Windows).
plugins/power-pages/skills/setup-pipeline/SKILL.md · 609 lines

How it starts

The opening of the file, as written. The whole thing — 609 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plugin check: Run node "${PLUGIN_ROOT}/scripts/check-version.js" — if it outputs a message, show it to the user before proceeding.

setup-pipeline

Sets up a Power Platform Pipeline for automated Power Pages solution deployments. Creates the pipeline configuration directly in Dataverse using the PP Pipelines OData API — no YAML files, no external CI/CD infrastructure needed.

GitHub Actions and Azure DevOps Pipeline options are shown in the platform menu as coming soon.

Refer to ${PLUGIN_ROOT}/references/cicd-pipeline-patterns.md for all HAR-confirmed API patterns used in this skill.

Prerequisites

  • powerpages.config.json exists in the project root
  • .solution-manifest.json exists (solution must be created first via setup-solution)
  • Azure CLI logged in (az account show succeeds)
  • PAC CLI logged in (pac env who succeeds)
  • A Power Platform environment with Pipelines package installed (the "host" environment)

Phases

Phase 0 — ALM plan gate

plan-alm is the front door. When the user expresses an ALM intent (promote / ship / deploy / set up CI-CD / move to staging / push to prod), the orchestrator (/power-pages:plan-alm) should run first. This Phase 0 enforces that and is meant to fail closed when there's no plan, not to be a one-time check the user can dismiss forever.

Skip rule. If this skill was invoked as part of an active plan-alm orchestration, skip Phase 0 entirely and proceed to Phase 1. The gate helper exposes this via its inExecution block — pass through silently to Phase 1 when:

inExecution.status === "active"

The helper computes this from docs/.alm-plan-data.jsonPLAN_STATUS === "In Execution" AND LAST_INVOCATION_AT within the last 60 minutes. check-alm-plan.js refreshes LAST_INVOCATION_AT automatically on every invocation that finds the plan in execution, so each in-chain skill keeps the chain alive for the next one — even multi-hour deploys (deploy-pipeline alone can take 60 min per stage) survive the window without the chain incorrectly de-classifying. Stalled chains (no heartbeat for > 60 min) reclassify as stale-heartbeat and Phase 0 gates fire normally so an abandoned plan doesn't silently bypass user confirmation.

Read the full file on GitHub · 609 lines

Files

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.

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. 2d ago First seen · 609 lines · 118 tokens per session scan A 269e3ab01cc1

Subscribe to this mod's changes

setup-pipeline is a skill published in the GitHub repository microsoft/power-platform-skills (829 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 10,523 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.