Borrowing it
Nothing to install: this file belongs to julianobarbosa/azure-finops-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/julianobarbosa/azure-finops-mcp-server/main/.claude/commands/bmadInfraDevOps/tasks/validate-infrastructure.mdgit clone --depth 1 https://github.com/julianobarbosa/azure-finops-mcp-serverWrote 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/commands/julianobarbosa/azure-finops-mcp-server/validate-infrastructure)<a href="https://agentmods.dev/commands/julianobarbosa/azure-finops-mcp-server/validate-infrastructure"><img src="https://agentmods.dev/badge/commands/julianobarbosa/azure-finops-mcp-server/validate-infrastructure/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/commands/julianobarbosa/azure-finops-mcp-server/validate-infrastructure"><img src="https://agentmods.dev/badge/commands/julianobarbosa/azure-finops-mcp-server/validate-infrastructure.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 | $0.00000 | $0.01971 |
| Opus 5 | $0.00000 | $0.00986 |
| Sonnet 5 | $0.00000 | $0.00394 |
| Haiku 4.5 | $0.00000 | $0.00197 |
Grade A, and why
validate-infrastructure 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/validate-infrastructure Task
When this command is used, execute the following task:
Infrastructure Validation Task
Purpose
To comprehensively validate platform infrastructure changes against security, reliability, operational, and compliance requirements before deployment. This task ensures all platform infrastructure meets organizational standards, follows best practices, and properly integrates with the broader BMad ecosystem.
Inputs
- Infrastructure Change Request (
docs/infrastructure/{ticketNumber}.change.md) - Infrastructure Architecture Document (
docs/infrastructure-architecture.md- from Architect Agent) - Infrastructure Guidelines (
docs/infrastructure/guidelines.md) - Technology Stack Document (
docs/tech-stack.md) infrastructure-checklist.md(primary validation framework - 16 comprehensive sections)
Key Activities & Instructions
1. Confirm Interaction Mode
- Ask the user: "How would you like to proceed with platform infrastructure validation? We can work: A. Incrementally (Default & Recommended): We'll work through each section of the checklist step-by-step, documenting compliance or gaps for each item before moving to the next section. This is best for thorough validation and detailed documentation of the complete platform stack. B. "YOLO" Mode: I can perform a rapid assessment of all checklist items and present a comprehensive validation report for review. This is faster but may miss nuanced details that would be caught in the incremental approach."
- Request the user to select their preferred mode (e.g., "Please let me know if you'd prefer A or B.").
- Once the user chooses, confirm the selected mode and proceed accordingly.
2. Initialize Platform Validation
- Review the infrastructure change documentation to understand platform implementation scope and purpose
- Analyze the infrastructure architecture document for platform design patterns and compliance requirements
- Examine infrastructure guidelines for organizational standards across all platform components
- Prepare the validation environment and tools for comprehensive platform testing
- <critical_rule>Verify the infrastructure change request is approved for validation. If not, HALT and inform the user.</critical_rule>
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 · 160 lines · 0 tokens per session scan A 632119eabcab
validate-infrastructure is a command published in the GitHub repository julianobarbosa/azure-finops-mcp-server (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,971 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.