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 manu14357/zskills --skill azure-validategit clone --depth 1 https://github.com/manu14357/zskillsWrote 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/manu14357/zskills/azure-validate)<a href="https://agentmods.dev/skills/manu14357/zskills/azure-validate"><img src="https://agentmods.dev/badge/skills/manu14357/zskills/azure-validate/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/manu14357/zskills/azure-validate"><img src="https://agentmods.dev/badge/skills/manu14357/zskills/azure-validate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00055 | $0.01331 |
| Opus 5 | $0.00028 | $0.00665 |
| Sonnet 5 | $0.00011 | $0.00266 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
azure-validate scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -I https://$APP/health # HTTP 200 How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Validate
Systematically validate deployments against infrastructure, security, performance, and operational readiness criteria. Provide go/no-go decision for production release.
Use This Skill When
- The user has deployed to staging and needs production readiness verification
- The user asks for preflight checks, health verification, or sign-off gates
- Deployment is ready but needs validation against SLA and compliance requirements
- There's a need to verify monitoring, alerting, and incident response readiness
Context: Validation Maturity
Immature: Manual spot checks, no automation, inconsistent criteria
Developing: Some automated tests, partial validation, manual sign-off
Managed: Automated checks, clear pass/fail criteria, documented gates → Target
Optimized: Full CI/CD integration, policy-as-code, real-time compliance dashboards
Required Inputs
- Deployment scope: All resources, environment, regions
- SLA targets: Availability (%), latency (ms, p99), throughput (req/sec)
- Traffic model: Expected load profile and peak burst
- Security & compliance: HIPAA, PCI-DSS, SOC2, audit requirements?
- User journeys: Critical paths to test (e.g., user signup → purchase → confirmation)
- Acceptance criteria: Performance baseline, error rate threshold
- Rollback plan: How to revert if validation fails?
Decision Tree
Have all infrastructure resources been provisioned?
├─ No → BLOCK: Complete infrastructure deployment first
└─ Yes → Continue
Are all required monitoring and alerting configured?
├─ No → WARNING: Cannot track production health; recommend staging validation only
└─ Yes → Continue
Has security baseline been applied (NSGs, RBAC, encryption)?
├─ No → BLOCK: Security validation must pass before production
└─ Yes → Continue
Do all smoke tests and end-to-end flows pass?
├─ No → BLOCK: Application logic failures prevent release
└─ Yes → Continue
Does load testing meet SLA targets?
├─ No → WARNING: May fail under expected load; consider remediation
└─ Yes → READY FOR PRODUCTION
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.
- 12d ago First seen · 180 lines · 55 tokens per session scan A d8c2168c5d03
azure-validate is a skill published in the GitHub repository manu14357/zskills (16 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,331 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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