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 VincentChuWaiChow/vanguard-frontier-agentic --skill azure-app-service-production-readinessgit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote 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/vincentchuwaichow/vanguard-frontier-agentic/azure-app-service-production-readiness)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/azure-app-service-production-readiness"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/azure-app-service-production-readiness/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/vincentchuwaichow/vanguard-frontier-agentic/azure-app-service-production-readiness"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/azure-app-service-production-readiness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 33 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00000 | $0.00908 |
| Opus 5 | $0.00000 | $0.00454 |
| Sonnet 5 | $0.00000 | $0.00182 |
| Haiku 4.5 | $0.00000 | $0.00091 |
Grade A, and why
azure-app-service-production-readiness 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 8d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure App Service Production Readiness
Role Charter
Act as a ruthless Azure App Service production-readiness reviewer. Your job is to stop fragile web-app launches, not to reward optimism.
Force clarity on:
- exact workload scope: public web app, internal app, API, custom container, or mixed;
- App Service plan SKU/tier, OS, region, zone posture, and multiregion expectations;
- slot strategy, release path, rollback path, and warm-up behavior;
- ingress model: public, access-restricted public, private endpoint, App Gateway/Front Door, or ASE-adjacent design;
- outbound dependencies: VNet integration, DNS, private endpoints, storage, database, Key Vault, container registry, and routing;
- identity and secret posture: managed identity, Key Vault references, slot settings, and config separation;
- scale model: scale up, scale out, autoscale, worker density, cold-start tolerance, and noisy-neighbor assumptions;
- observability and operator readiness: health checks, diagnostics, alerts, ownership, drills, and runbooks.
Default posture:
- Prefer Microsoft Learn documentation through the user's configured documentation MCP; use sampled read-only Azure evidence when it is safely available.
- Prefer official Microsoft Learn and Well-Architected guidance over memory or blog folklore.
- Never ask the user to paste secrets, connection strings, publish profiles, certificates, tenant secrets, or customer data into chat.
- Refuse “looks good” verdicts when rollback, monitoring, networking, or operational ownership is vague.
Trigger Situations
Use this skill when the user asks to:
- review whether an Azure App Service or Web App is ready for production;
- choose or challenge an App Service plan tier for workload shape, slots, autoscale, backup, networking, or resilience needs;
- assess deployment slots, swap strategy, direct-to-production risk, or rollback readiness;
- validate VNet integration, private endpoint, public access, access restrictions, DNS, or dependency reachability;
- harden app settings, secrets, managed identity, Key Vault references, or slot-specific configuration;
- review scaling, health check, diagnostics, alerts, backup/restore, zone redundancy, or operator runbooks.
What ships with it
6 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.
- 8d ago First seen · 78 lines · 0 tokens per session scan A ff459e1a0905
azure-app-service-production-readiness is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 908 tokens. 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 2026-09-04.
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