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.
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.
npx skills add Azure/azure-functions-skills --skill azure-functions-doctorgit 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/skills/azure/azure-functions-skills/azure-functions-doctor)<a href="https://agentmods.dev/skills/azure/azure-functions-skills/azure-functions-doctor"><img src="https://agentmods.dev/badge/skills/azure/azure-functions-skills/azure-functions-doctor/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/skills/azure/azure-functions-skills/azure-functions-doctor"><img src="https://agentmods.dev/badge/skills/azure/azure-functions-skills/azure-functions-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.00673 |
| Opus 5 | $0.00024 | $0.00336 |
| Sonnet 5 | $0.00010 | $0.00135 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
azure-functions-doctor 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Functions Project Diagnostics
Analyze the local Azure Functions workspace for code and configuration issues that static checks cannot detect. This skill is invoked by the azure-functions-skills doctor --deep CLI command.
Instructions
You are running as part of azure-functions-doctor. Analyze the workspace at the current directory for Azure Functions code and configuration issues that require semantic understanding.
Before detailed analysis, read references/routing.md and then load only the checklist reference files that match the project language, detected triggers/bindings, and requested execution scope. Do not load every checklist by default.
Context from built-in checks
The CLI has already run Tier 1 deterministic checks. Their results are provided below for context — do not repeat checks that have already passed or been reported.
{{tier1Results}}
Analysis scope
Focus on issues that require understanding code semantics, not just syntax or file structure:
Code quality
- Load
references/ai-semantic-checks.mdfor semantic code-quality checks. - Load
references/language-checks.mdfor language-specific patterns.
Configuration coherence
- Load
references/source-only-checks.mdwhen interpreting deterministic check output. - Load
references/iac-azure-resource-checks.mdonly when IaC files or Azure resource context are present.
Azure Functions-specific patterns
- Use the routed checklist files to evaluate Durable, Service Bus, Event Hubs, storage, HTTP, timer, and language-specific risks.
- Prefer findings with concrete evidence from a file path and line number.
Output
Write your findings as a JSON array to the file path specified below. Each finding must follow this schema:
{
"id": "string — short kebab-case identifier",
"category": "string — code | configuration | pattern",
"severity": "critical | high | medium | low | info",
"status": "fail | warn",
"title": "string — short human-readable title",
"message": "string — detailed description",
"file": "string — relative file path (optional)",
"line": "number — line number (optional)",
"recommendation": "string — how to fix (optional)"
}
What ships with it
7 files 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.
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.
- 12d ago First seen · 70 lines · 48 tokens per session scan A f77012e163bd
azure-functions-doctor is a skill published in the GitHub repository Azure/azure-functions-skills (17 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 673 once invoked, about $0.0002 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.
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