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-inventorygit 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-inventory)<a href="https://agentmods.dev/skills/azure/azure-functions-skills/azure-functions-inventory"><img src="https://agentmods.dev/badge/skills/azure/azure-functions-skills/azure-functions-inventory/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-inventory"><img src="https://agentmods.dev/badge/skills/azure/azure-functions-skills/azure-functions-inventory.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 | $0.00058 | $0.00713 |
| Opus 5 | $0.00029 | $0.00357 |
| Sonnet 5 | $0.00012 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
azure-functions-inventory 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 11d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Functions Inventory
Use this skill to collect the static specifications of an existing Azure Function App.
Write final answers in the user's language.
Required interaction
Ask only for missing inputs that are needed to identify the app:
- Function App name (required unless already provided)
- Subscription ID or name (optional)
- Resource group (optional)
If subscription or resource group is unknown, discover them with Resource Graph. If multiple matching apps are found, ask the user to choose one.
Fast path
- Call Azure best practices for
azurefunctionsfirst when available. - Run the bundled inventory script for the current shell/OS:
scripts/get-functionapp-inventory.ps1 -AppName <app-name>scripts/get-functionapp-inventory.sh -a <app-name>on macOS/Linux or Bash- Add
-SubscriptionId <sub>and/or-ResourceGroup <rg>when known. - For Bash, use
-s <sub>and/or-g <resource-group>when known. - Bash script requires Azure CLI plus a working
python3orpythonexecutable for JSON shaping.
- If bundled script execution is unavailable, use
references/inventory-commands.md. - Report only inventory/specification data unless the user explicitly asks for health or telemetry.
If a caller needs runtime or trigger interpretation after inventory collection, use ../azure-functions-common/references/routing.md on demand. Do not load shared language/extension references for plain inventory output.
Next steps
- On success, suggest
azure-functions-health-statusto check current health and telemetry next. - On failure, suggest
azure-functions-diagnosticsto triage missing or blocked inventory data.
Scope boundary
This skill should collect:
- Resource identity: subscription, resource group, region, resource ID, host name
- Plan/SKU/runtime: plan name/SKU/status, OS, runtime stack/version, Functions runtime
- Flex config: deployment storage type/auth, memory, max instances, always-ready value, update strategy
- Network/security: VNet integration, public network access, HTTPS only, TLS, FTPS, private endpoint count if available
- Identity/settings: managed identity type and selected setting presence with secrets redacted
- Functions inventory: functions and trigger types, enabled/disabled counts
- Related resources in the resource group, summarized by resource type/name/SKU
What ships with it
3 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.
- 11d ago First seen · 66 lines · 58 tokens per session scan A 002e76b54eb3
azure-functions-inventory is a skill published in the GitHub repository Azure/azure-functions-skills (17 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 713 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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