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-diagnosticsgit 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-diagnostics)<a href="https://agentmods.dev/skills/azure/azure-functions-skills/azure-functions-diagnostics"><img src="https://agentmods.dev/badge/skills/azure/azure-functions-skills/azure-functions-diagnostics/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-diagnostics"><img src="https://agentmods.dev/badge/skills/azure/azure-functions-skills/azure-functions-diagnostics.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 | $0.00061 | $0.00816 |
| Opus 5 | $0.00030 | $0.00408 |
| Sonnet 5 | $0.00012 | $0.00163 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
azure-functions-diagnostics 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Functions Diagnostics
Use this skill to diagnose and resolve Azure Functions issues by orchestrating focused skills and loading only the references needed for the current app.
Write final answers in the user's language.
Core principle
Do not load all diagnostic references up front. First collect the app inventory, infer runtime/language and trigger/binding/extension shape, then load only the matching language and extension reference files.
For multi-step reviews, source investigations, or remediation work, create a short checklist plan file or todo list and update it after each completed step. Do not require a checklist for quick read-only diagnosis because it adds token overhead.
Required inputs
Ask only for missing inputs needed to start:
- Function App name, unless already provided.
- Subscription ID/name and resource group, if needed to disambiguate.
- Symptom, error message, command output, or portal/deployment failure context.
- Time window, default
24hfor current or recent production issues.
If the user has a local workspace issue without a deployed app, skip Azure resource collection and start from local project/runtime/trigger discovery.
Diagnostic workflow
Follow workflow.md. Use shared reference routing from ../azure-functions-common/references/routing.md only after inventory/health data identifies the relevant runtime, trigger, binding, or symptom.
Fast path:
- Use
azure-functions-inventoryto collect static app specifications. - Use
azure-functions-health-statusto collect current health, metrics, telemetry, and Activity Log. - Use ../azure-functions-common/references/routing.md to select only the required language and extension references.
- Use evidence-checklist.md before stating root cause or recommended fixes.
- Prefer official documentation, official repositories, official samples, and package/container registries before broader web sources.
What ships with it
2 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 · 79 lines · 61 tokens per session scan A 66ba9561ba02
azure-functions-diagnostics is a skill published in the GitHub repository Azure/azure-functions-skills (17 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 816 once invoked, about $0.0003 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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