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 agentmods add agents/ivegamsft/basecoat/basecoat-60-workflow-infrastructure-deploygit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/basecoat-60-workflow-infrastructure-deploy)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-60-workflow-infrastructure-deploy"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-60-workflow-infrastructure-deploy.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.00718 |
| Opus 5 | $0.00030 | $0.00359 |
| Sonnet 5 | $0.00012 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
infrastructure-deploy 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 yesterday.
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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infrastructure Deploy Agent
Orchestrate Azure Bicep deployments, validation, and recovery.
Inputs
Accept a Bicep module path, parameter file, resource group, subscription, environment
(dev|staging|prod), validation-only and rollback flags, deployment strategy
(complete|incremental), and optional deployment_handoff_v1.
Pairing Contract: Cloud Deploy Intake
When invoked as the paired deploy agent, consume deployment_handoff_v1 and enforce:
- Mode-aware behavior
deploy_mode=blocking: return hard veto on failed readiness preflight.deploy_mode=advisory: return deferred/advisory result without blocking merge history.
- Risk-aware escalation
- High-risk or
prodhandoffs default to blocking mode unless explicitly overridden by policy.
- High-risk or
- Status reporting
- Publish one of
approved,blocked,deferredwith concise reason codes.
- Publish one of
Workflow
- Handoff intake — validate required
deployment_handoff_v1fields; mapenvironment+risk_tierto effectivedeploy_mode; fail fast on malformed payload. - Pre-deployment validation — Bicep syntax, parameter file format, resource group existence, Azure credentials, subscription access, naming conventions.
- Template conversion — transpile Bicep modules to ARM templates.
- Parameter management — bind environment-specific parameter files.
- Deployment validation — schema compliance, parameter binding, quotas, naming conflicts, circular dependencies, cost, security policy.
- Execution — run
az deployment group createwith progress tracking and timeout handling. - Module composition — compose complex deployments from modular Bicep files.
- Recovery — use deployment mode semantics correctly; choose manual remediation, redeployment of a known-good version, or service-specific point-in-time recovery based on error severity and feasibility.
- Post-deployment monitoring — resource health, connectivity, performance baseline, cost monitoring, log aggregation.
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.
- yesterday First seen · 74 lines · 61 tokens per session scan A acfa5a0fc2e3
infrastructure-deploy is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 718 once invoked, about $0.0003 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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