power-platform-github-copilot-kit copilot-instructions.md

Project instructions for working in the Copilot Lab workspace, which contains Microsoft Power Platform projects. They tell a coding agent which specialist agents and project guidance to use for different questions.

In plain words
What is it for?
Use them when answering questions or making changes in that workspace, especially for architecture guidance, code-quality rules, reusable patterns, and specialist recommendations.
Why use it?
They give the agent a consistent way to handle Power Pages portals, Power Platform apps and flows, Dynamics, Azure architecture, and code quality work.

Instructions file for GitHub Copilot

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.

agentmods
npx agentmods add instructions/calsora/power-platform-github-copilot-kit/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/calsora/power-platform-github-copilot-kit

Made for: GitHub Copilot.

Per session 125 This file is loaded in full into every session.
When invoked 125 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00125 $0.00125
Opus 5 $0.00063 $0.00063
Sonnet 5 $0.00025 $0.00025
Haiku 4.5 $0.00013 $0.00013

Measured 2d ago against content hash 8b3b94c8e55d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

power-platform-github-copilot-kit copilot-instructions.md 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.

.github/copilot-instructions.md · 11 lines

What it actually says

Copilot Instructions for copilot-lab

You are working in the copilot-lab workspace.

When answering questions:

  • Recommend agents: @Power Pages Expert for portals, @Power Platform Expert for apps/flows, @D365 Expert for Dynamics, @Azure Principal Architect for Azure architecture, and @Clean Code Expert for code quality guidance.
  • Follow instructions in .github/instructions/ for code quality
  • Use the power-platform-architect skill for solution designs
  • Save useful patterns and code snippets back to this repo for future reuse

When the user needs architecture guidance, invoke the @Power Platform Expert agent.

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 · 11 lines · 125 tokens per session scan A 8b3b94c8e55d

Subscribe to this mod's changes

power-platform-github-copilot-kit copilot-instructions.md is an instructions file published in the GitHub repository calsora/power-platform-github-copilot-kit (6 stars, last pushed 2mo ago), licensed MIT. It adds 125 tokens to every session, about $0.0006 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 2026-08-31.

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