azure-functions-skills: Command for GitHub Copilot

.github/prompts/checklist-plan.prompt.md

checklist-plan is a command for GitHub Copilot from Azure/azure-functions-skills. It costs 15 tokens per session (169 once invoked), scanned A, original, MIT.

A checklist-based method for investigating, planning, changing, and checking a project. For code, it uses test-driven development (TDD), which means writing a failing test before the code that makes it pass.

In plain words
What is it for?
It helps create and update a plan, implement each item in order, write tests before code changes, and run the project's final check command.
Why use it?
It keeps multi-step work visible and reduces the chance of skipping investigation, tests, or final checks.

Command for GitHub Copilot ✓ vendor

Written for GitHub Copilot: a Copilot chat mode or prompt.

This is Azure/azure-functions-skills's own configuration. It tells GitHub Copilot how to work on azure-functions-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything azure-functions-skills configures →

About the project

Azure Functions Skills is a repository of agent skills, prompts, reusable definitions, MCP configuration, and telemetry hooks that give coding agents context about Azure Functions development and operations. Developers use it for guidance on triggers, bindings, runtimes, deployment, and code checks, while the catalogue contains its agent-facing add-ons.

Azure/azure-functions-skills · 20 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to Azure/azure-functions-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Azure/azure-functions-skills/main/.github/prompts/checklist-plan.prompt.md
Clone the repo
git clone --depth 1 https://github.com/Azure/azure-functions-skills

Made for: GitHub Copilot.

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 checklist-plan

README.md
[![agentmods](https://agentmods.dev/badge/commands/azure/azure-functions-skills/checklist-plan/github.svg)](https://agentmods.dev/commands/azure/azure-functions-skills/checklist-plan)
Your own site
<a href="https://agentmods.dev/commands/azure/azure-functions-skills/checklist-plan"><img src="https://agentmods.dev/badge/commands/azure/azure-functions-skills/checklist-plan/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 checklist-plan

Your own site · 80×15
<a href="https://agentmods.dev/commands/azure/azure-functions-skills/checklist-plan"><img src="https://agentmods.dev/badge/commands/azure/azure-functions-skills/checklist-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 169 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.
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 $0.00015 $0.00169
Opus 5.5 $0.00006 $0.00068
Sonnet 5.5 $0.00003 $0.00034
Haiku 4.5 $0.00002 $0.00017

Measured 1mo ago against content hash 45d1df53df47, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

checklist-plan 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.

.github/prompts/checklist-plan.prompt.md · 17 lines

What it actually says

Analyze the task and create an implementation plan following this structure:

  1. Investigate — survey the affected files and understand the current behavior.
  2. Plan — produce a numbered checklist in plan.md with clear, actionable steps.
  3. Execute — work through each step one at a time; mark each item done as you go.
  4. Verify — after all steps, run npm run check and confirm everything passes.

For code changes, follow TDD: write a failing test before implementing each step. For non-code tasks (skills, CI, docs), skip TDD but still verify at the end.

Update the checklist after completing each step so progress is always visible.

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 · 17 lines · 15 tokens per session scan A 45d1df53df47

Subscribe to this mod's changes

checklist-plan is a command published in the GitHub repository Azure/azure-functions-skills (20 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 169 once invoked, about $0.0001 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 2026-09-09.