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.
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.
curl -O https://raw.githubusercontent.com/Azure/azure-functions-skills/main/.github/instructions/cli.instructions.mdgit clone --depth 1 https://github.com/Azure/azure-functions-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/instructions/azure/azure-functions-skills/cli)<a href="https://agentmods.dev/instructions/azure/azure-functions-skills/cli"><img src="https://agentmods.dev/badge/instructions/azure/azure-functions-skills/cli/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/instructions/azure/azure-functions-skills/cli"><img src="https://agentmods.dev/badge/instructions/azure/azure-functions-skills/cli.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 | $0.00304 | $0.00304 |
| Opus 5.5 | $0.00122 | $0.00122 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
azure-functions-skills cli.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 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.
What it actually says
CLI Development Rules
Usability First
- The CLI is designed with usability as the top priority.
- Commands must be intuitive — users should never feel lost or confused.
- Error messages must be specific and actionable: tell the user what went wrong and what to do next.
- Provide helpful defaults so common workflows require minimal flags.
Output
- Keep output concise and scannable.
- Use color and formatting consistently (success = green, error = red, warning = yellow).
- Progress indicators for long-running operations.
- Respect
--quietand--jsonflags where applicable.
After Changes
- Always compile:
npm run compile - Run unit tests:
npm test - Manual verification is mandatory: run the actual CLI command in an isolated workspace.
node bin/azure-functions-skills.js <cmd> --dir <isolated-workspace> - Never run
template applyfrom the repo root — it pollutes the working tree.
Architecture
- CLI entry point:
bin/azure-functions-skills.js - Domain modules:
src/build/,src/telemetry/,src/templates/ - Keep option parsing in
bin/; keep business logic insrc/. - Separate concerns — do not mix I/O, validation, and domain logic in one function.
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.
- 1mo ago Changed · +2 tokens per session 7b3efba33db2
- 2mo ago First seen · 37 lines · 302 tokens per session scan A 8622fb225912
azure-functions-skills cli.instructions.md is an instructions file published in the GitHub repository Azure/azure-functions-skills (20 stars, last pushed yesterday), licensed MIT. It adds 304 tokens to every session, about $0.0012 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.