azure-functions-skills: Instructions file for Claude Code

.github/instructions/skills.instructions.md

azure-functions-skills skills.instructions.md is an instructions file for Claude Code, GitHub Copilot from Azure/azure-functions-skills. It costs 266 tokens per session, scanned A, original, MIT.

A set of instructions for creating Azure Functions skills and templates. Azure Functions is Microsoft's service for running small pieces of code in response to events or requests.

In plain words
What is it for?
Use it when developing or reviewing Azure Functions skills, templates, telemetry hooks, or MCP definitions.
Why use it?
It helps keep skill definitions, generated plugin files, validation, and security checks aligned with the project's source files.

Instructions file for Claude CodeGitHub Copilot ✓ vendor

Written for Claude Code and GitHub Copilot: Claude Code plugin machinery, but also a Copilot instructions file.

This is Azure/azure-functions-skills's own configuration. It tells Claude Code and 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 · 17 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/instructions/skills.instructions.md
Clone the repo
git clone --depth 1 https://github.com/Azure/azure-functions-skills

Made for: Claude Code, 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 azure-functions-skills skills.instructions.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/azure/azure-functions-skills/skills"><img src="https://agentmods.dev/badge/instructions/azure/azure-functions-skills/skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 266 This file is loaded in full into every session.
When invoked 266 The same file — it is already loaded in full.
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 $0.00266 $0.00266
Opus 5 $0.00133 $0.00133
Sonnet 5 $0.00053 $0.00053
Haiku 4.5 $0.00027 $0.00027

Measured 9d ago against content hash c10b841f0e8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

azure-functions-skills skills.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 9d 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/instructions/skills.instructions.md · 31 lines

What it actually says

Skill and Template Development Rules

Canonical Source

  • templates/ is the single source of truth for skills, telemetry hooks, and MCP definitions.
  • Generated files under .github/plugins/, .plugin/, and .claude-plugin/ are derived — never hand-edit them.

Workflow

  1. Edit the canonical source under templates/.
  2. Validate: npm run validate:skills
  3. Regenerate: npm run build:plugin-payload
  4. Verify: npm run verify:plugin-payload
  5. Run full gate: npm run check

Skill Content

  • Skill Markdown (SKILL.md) is loaded as LLM agent instructions. Write clearly and unambiguously.
  • Include references/ for checklists, examples, and supporting material.
  • Tag skills with proper YAML front matter (name, title, description, category).

Security

  • Skill content can instruct an LLM agent with file-write and shell-execution permissions. Review every change carefully for prompt injection risks.
  • Never include executable commands that could be harmful if run verbatim by an agent.
  • CI runs npm run lint:security (including lint-skill-content.mjs) to scan for dangerous patterns.
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. 9d ago First seen · 31 lines · 266 tokens per session scan A c10b841f0e8b

Subscribe to this mod's changes

azure-functions-skills skills.instructions.md is an instructions file published in the GitHub repository Azure/azure-functions-skills (17 stars, last pushed today), licensed MIT. It adds 266 tokens to every session, about $0.0013 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 2026-08-30.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens