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 jonathan-vella/apex-accelerator --skill azure-cost-optimizationgit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/jonathan-vella/apex-accelerator/azure-cost-optimization)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/azure-cost-optimization"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/azure-cost-optimization/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/jonathan-vella/apex-accelerator/azure-cost-optimization"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/azure-cost-optimization.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 Prompt Injection · line 42 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00086 | $0.01222 |
| Opus 5 | $0.00043 | $0.00611 |
| Sonnet 5 | $0.00017 | $0.00244 |
| Haiku 4.5 | $0.00009 | $0.00122 |
Grade A, and why
azure-cost-optimization 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 7d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Cost Optimization Skill
Analyze Azure subscriptions to identify cost savings through orphaned resource cleanup, rightsizing, and optimization recommendations based on actual usage data.
When to Use This Skill
Use this skill when the user asks to:
- Optimize Azure costs or reduce spending
- Analyze Azure subscription for cost savings
- Generate cost optimization report
- Find orphaned or unused resources
- Rightsize Azure VMs, containers, or services
- Identify where they're overspending in Azure
- Optimize Redis costs specifically - See Azure Redis Cost Optimization for Redis-specific analysis
Rules
- Read-only analysis first — never delete or modify resources during the assessment phase; remediation is a separate user-approved step
- Validate prerequisites before starting (Azure CLI authenticated,
costmanagement+resource-graphextensions,azqrinstalled, Cost Management Reader + Monitoring Reader + Reader roles) - Use real data — recommendations must be grounded in actual cost queries and utilization metrics, not assumptions
- Cite sources — every savings estimate must reference the underlying cost query or pricing API result (audit trail in
output/cost-query-result<timestamp>.json) - Classify safely — mark recommendations as Safe / Review / Risky; never auto-apply destructive operations
- Redis-specific scope — when the user asks about Redis only, follow Azure Redis Cost Optimization instead of the general subscription workflow
- Save artifacts to
output/costoptimizereport<timestamp>.mdand the audit trail JSON - Out of scope: deploying resources (use
azure-deploy), security issues (useazure-compliance), general diagnostics (useazure-diagnostics)
Instructions
High-level step list (full procedure in
references/workflow-steps.md):
| # | Step | Reference |
|---|---|---|
| 0 | Validate prerequisites (Azure CLI, costmanagement + resource-graph extensions, azqr, RBAC) |
workflow-steps.md |
| 1 | Load Azure cost-optimization best practices via mcp_azure-mcp_get_azure_bestpractices |
workflow-steps.md |
| 1.5 | (Conditional) Redis-specific analysis branch | azure-redis.md |
| 1.6 | (Redis branch) Choose analysis scope (subscription / prefix / tenant-wide) | azure-redis.md |
| 2 | Run Azure Quick Review (extension_azqr) for orphaned-resource discovery |
azure-quick-review.md |
| 3 | Discover resources cross-subscription via Azure Resource Graph | azure-resource-graph.md |
| 4–9 | Cost queries, pricing validation, metrics, report, audit trail, cleanup | detailed-workflow-steps.md |
What ships with it
10 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.
- references/auth-best-practices.md 6.4 KB
- references/azure-quick-review.md 1.6 KB
- references/azure-redis.md 3.5 KB
- references/azure-resource-graph.md 2.2 KB
- references/best-practices-notes.md 1.6 KB
- references/detailed-workflow-steps.md 6.1 KB
- references/sdk/azure-resource-manager-redis-dotnet.md 1.5 KB
- references/workflow-steps.md 4.6 KB
- templates/redis-detailed-cache-analysis.md 2.8 KB
- templates/redis-subscription-level-report.md 1.8 KB
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.
- 7d ago First seen · 91 lines · 86 tokens per session scan A b3ae8f1922d4
azure-cost-optimization is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 3d ago), licensed MIT. It adds 86 tokens to every session and 1,222 once invoked, about $0.0004 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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