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 julianobarbosa/claude-code-skills --skill alz-acceleratorgit clone --depth 1 https://github.com/julianobarbosa/claude-code-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/julianobarbosa/claude-code-skills/alz-accelerator)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/alz-accelerator"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/alz-accelerator/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/julianobarbosa/claude-code-skills/alz-accelerator"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/alz-accelerator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high Privilege Escalation · line 129 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Prompt Injection · line 164 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
- medium Prompt Injection · line 188 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 | $0.00108 | $0.02084 |
| Opus 5 | $0.00054 | $0.01042 |
| Sonnet 5 | $0.00022 | $0.00417 |
| Haiku 4.5 | $0.00011 | $0.00208 |
Grade A, and why
alz-accelerator 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 10d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Landing Zones Accelerator Skill
Deploy Azure Landing Zones using the ALZ Accelerator with Azure Verified Modules (AVM). This skill captures the recommended workflow, decision framework, and best practices from the ALZ core team.
Key Concepts
AVM (Azure Verified Modules): An infrastructure-as-code standard for deploying Azure resources following best practices. AVM has resource modules (single resources) and pattern modules (complex architectural patterns composed from resource modules). AVM is the only recommended way to deploy Azure Landing Zones infrastructure.
ALZ Accelerator: A tool that bootstraps the entire Azure Landing Zone deployment including CI/CD pipelines, version control, and infrastructure configuration. It uses AVM modules under the hood.
Deployment Stacks (Bicep): Used by the Bicep accelerator to handle resource lifecycle management, eliminating the pain of manually managing policy assignments and resource deletions.
Decision Framework: Bicep vs Terraform
Guide the user through this decision before proceeding with deployment.
When to Choose Terraform
- Team already has Terraform expertise
- Multi-cloud strategy (AWS, GCP, Azure) — avoids learning two IaC languages
- Terraform ALZ modules are more mature (released ~early 2025) with full configuration via tfvars
- Need for state-based drift detection
When to Choose Bicep
- Azure-only organization with no multi-cloud plans
- Team familiar with ARM templates or Azure-native tooling
- No state file to manage (pro and con — simpler ops but less drift visibility)
- Microsoft ARM/Bicep product groups recommend Bicep for Azure-only shops
- Bicep ALZ released ~Feb 2026 with full AVM support, deployment stacks, and customizable modules
Neutral Position
- Both use AVM modules — same underlying resource definitions
- Both are supported by the accelerator with identical bootstrapping UX
- The gap between them is closing rapidly in 2026
- Default recommendation: Match the team's existing skills
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.
- 10d ago First seen · 212 lines · 108 tokens per session scan A b41f86b729a3
alz-accelerator is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 15d ago), licensed MIT. It adds 108 tokens to every session and 2,084 once invoked, about $0.0005 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 2026-08-31.
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