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 khalilbenaz/claude-skills-collection --skill azure-functions-expertgit clone --depth 1 https://github.com/khalilbenaz/claude-skills-collectionWrote 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/khalilbenaz/claude-skills-collection/azure-functions-expert)<a href="https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/azure-functions-expert"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/azure-functions-expert/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/khalilbenaz/claude-skills-collection/azure-functions-expert"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/azure-functions-expert.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 | $0.00063 | $0.02167 |
| Opus 5 | $0.00032 | $0.01084 |
| Sonnet 5 | $0.00013 | $0.00433 |
| Haiku 4.5 | $0.00006 | $0.00217 |
Grade A, and why
azure-functions-expert 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.
How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Functions Expert
1. Choisir le plan d'hébergement
| Plan | Cold start | Timeout max | VNET | Quand l'utiliser |
|---|---|---|---|---|
| Consumption | Oui (~2-5 s .NET) | 10 min | Non (outbound via NAT GW) | Workloads sporadiques, faible coût |
| Flex Consumption (2025) | Partiel | 60 min | Oui | Remplacement progressif du Premium |
| Premium (EP1-EP3) | Non (pre-warm) | Illimité | Oui (inbound + outbound) | Accès ressources privées, latence critique |
| Dedicated (App Service) | Non | Illimité | Oui | Coexistence avec une App Service existante |
Décision rapide : accès à un VNet privé → Flex Consumption ou Premium. Latence < 200 ms en P99 → Premium EP2+. Budget strict, trafic < 1 M invocations/mois → Consumption.
2. Créer et structurer un projet
# .NET 8 isolated worker (modèle recommandé 2026)
func init MyFunctionApp --worker-runtime dotnet-isolated --target-framework net8.0
cd MyFunctionApp
func new --name HttpTriggerExample --template "HTTP trigger" --authlevel anonymous
# Node.js v4 programming model
func init MyApp --worker-runtime node --language typescript --model V4
func new --name QueueProcessor --template "Azure Queue Storage trigger"
# Lancer localement
func start
Structure recommandée .NET :
MyFunctionApp/
├── Program.cs ← DI + middleware
├── Functions/
│ ├── HttpApi.cs
│ └── QueueProcessor.cs
├── Services/ ← Logique métier injectable
└── local.settings.json ← JAMAIS commité
3. Configurer les triggers et bindings
Règle : déclarer les bindings en attributs, pas de SDK explicite dans la fonction.
// HTTP → Blob output binding (isolated .NET 8)
[Function("ProcessUpload")]
[BlobOutput("output-container/{name}.json", Connection = "AzureWebJobsStorage")]
public string Run(
[HttpTrigger(AuthorizationLevel.Function, "post")] HttpRequestData req,
string name,
FunctionContext context)
{
var log = context.GetLogger<HttpApi>();
// Pas d'IBlobClient ici — le binding gère l'écriture
return JsonSerializer.Serialize(new { name, ts = DateTime.UtcNow });
}
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.
- 9d ago First seen · 217 lines · 63 tokens per session scan A fc92a9083713
azure-functions-expert is a skill published in the GitHub repository khalilbenaz/claude-skills-collection (22 stars, last pushed 19d ago), licensed MIT. It adds 63 tokens to every session and 2,167 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 2026-09-03.
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