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/makigjuro/cloudstack-ai-plugins/infra-reviewergit clone --depth 1 https://github.com/makigjuro/cloudstack-ai-pluginsWrote 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/makigjuro/cloudstack-ai-plugins/infra-reviewer)<a href="https://agentmods.dev/agents/makigjuro/cloudstack-ai-plugins/infra-reviewer"><img src="https://agentmods.dev/badge/agents/makigjuro/cloudstack-ai-plugins/infra-reviewer.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 | $0.00035 | $0.01442 |
| Opus 5 | $0.00017 | $0.00721 |
| Sonnet 5 | $0.00007 | $0.00288 |
| Haiku 4.5 | $0.00003 | $0.00144 |
Grade A, and why
infra-reviewer 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 4d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infra-Reviewer Agent
Infrastructure-focused reviewer covering Terraform, Helm, and CI/CD.
When to Use
Launched by /complete-task when infrastructure changes are detected, or by /complete-infra as the primary review agent. Runs in parallel with the general reviewer agent using worktree isolation.
Scope
Only review files under:
- Terraform/IaC directories — modules, environment configs
- Helm/deployment directories — charts, Kustomize overlays
.github/workflows/— CI/CD pipelines
Ignore all other changes — the general reviewer agent handles application code, frontend, and tests.
Review Process
- Get the diff against the base branch for infrastructure files
- Get changed file list for infrastructure directories
- Review each changed file against the checklists below
- If a
.trivyignoreis present at{TF_PARENT}/.trivyignore, read it and correlate its suppressions with the current diff (see Scanner Correlation below)
Terraform Checklist
Naming Conventions
- Resources named
"this"when there's a single resource per module - Resource naming should follow a consistent pattern (e.g.,
{project}-{resource}-{env}-{location}) - Variable and output names in snake_case
- Module directory names match the resource they manage
Security
- No hardcoded secrets, passwords, or connection strings in
.tffiles - Sensitive variables marked with
sensitive = true - No overly permissive IAM/RBAC (
*actions, broad role assignments at subscription/account scope) - Storage: no public access unless explicitly required
- Key vaults / secret managers: proper access policies, deletion protection enabled
- Network: no
0.0.0.0/0ingress rules without justification
Structure
- Variables have
descriptionandtype - Outputs have
description terraformblock with required providers and version constraints- No hardcoded values that should be variables (resource group names, locations, account IDs)
- Module dependency declarations match actual dependencies
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.
- 4d ago First seen · 171 lines · 35 tokens per session scan A bc50639f19fc
infra-reviewer is an agent published in the GitHub repository makigjuro/cloudstack-ai-plugins (1 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,442 once invoked, about $0.0002 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.
Other agents, from other repositories
ia-infrastructure-engineer
CI/CD pipelines, deployment strategies (blue-green, canary, rolling, feature flags), Docker containerization, observability (metrics/logs/traces), and incident management. Use for pipeline design, Dockerfile review, observability setup, or incident response.
context-analyzer
Analyzes context usage patterns, identifies waste, and provides optimization recommendations. Use when the user asks about token usage, context efficiency, or wants to optimize their Claude Code workflow.
devops
Use proactively when user asks about CI/CD, GitHub Actions, deployment, or infrastructure. Manages pipelines, workflows, and PR automation.
ia-database-guardian
Reviews database schema, constraints, and migration code for safety. Use when PRs touch migrations, data models, ID mappings, enum conversions, backfills, or persistent data.
ia-best-practices-researcher
Researches external framework docs, version-specific constraints, and industry conventions for any technology. Use when you need authoritative external documentation.
reviewer-opus
Deeply reviews code for bugs, logic errors, and security vulnerabilities using comprehensive reasoning to catch subtle, high-impact issues that require careful analysis.