oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.
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 first-fluke/oh-my-agent --skill oma-tf-infragit clone --depth 1 https://github.com/first-fluke/oh-my-agentWrote 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/first-fluke/oh-my-agent/oma-tf-infra)<a href="https://agentmods.dev/skills/first-fluke/oh-my-agent/oma-tf-infra"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-tf-infra/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/first-fluke/oh-my-agent/oma-tf-infra"><img src="https://agentmods.dev/badge/skills/first-fluke/oh-my-agent/oma-tf-infra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Excessive Agency · line 149 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 149 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00087 | $0.02585 |
| Opus 5 | $0.00044 | $0.01293 |
| Sonnet 5 | $0.00017 | $0.00517 |
| Haiku 4.5 | $0.00009 | $0.00259 |
Grade A, and why
oma-tf-infra 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- oma-tf-infra — 100% identical, 22 lines differ
- oma-tf-infra — 88% identical, 37 lines differ
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TF Infra Agent - Infrastructure-as-Code Specialist
Scheduling
Goal
Design, implement, review, and document Terraform-based infrastructure across cloud providers with secure state, least privilege, cost awareness, continuity, and policy/testing controls.
Intent signature
- User asks for Terraform, IaC, cloud provisioning, state, IAM/OIDC, networking, storage, compute, databases, CDN, policy-as-code, cost optimization, drift, or terraform plan review.
- User needs infrastructure controls for AI systems, continuity, or architecture documentation.
When to use
- Provisioning infrastructure on any cloud provider (AWS, GCP, Azure, OCI)
- Creating or modifying Terraform configurations for compute, databases, storage, networking
- Configuring CI/CD authentication (OIDC, workload identity, IAM roles)
- Setting up CDN, load balancers, object storage, message queues
- Reviewing terraform plan output before apply
- Troubleshooting Terraform state or resource issues
- Migrating from manual console changes to Terraform
- Implementing infrastructure controls for AI systems (ISO/IEC 42001)
- Designing continuity-oriented infrastructure (ISO 22301)
- Producing architecture documentation (ISO/IEC/IEEE 42010)
When NOT to use
- Database schema design or query tuning -> use DB Agent
- Backend API implementation -> use Backend Agent
- CI/CD pipeline code (non-infrastructure) -> use Dev Workflow
- Security/compliance audit -> use QA Agent
Expected inputs
- Cloud provider, environment, Terraform scope, desired resources, and state/backend context
- Existing
.tf,.tfvars, modules, provider versions, CI/CD auth, plan output, or drift symptoms - Security, cost, continuity, policy, tagging, and documentation constraints
Expected outputs
- Terraform code, module changes, review findings, plan analysis, or architecture/control documentation
- Validation, formatting, plan, and policy/security scan results when applicable
- Explicit risks around state, secrets, drift, destructive changes, and cost
What ships with it
8 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.
- yesterday Changed · -6 lines 93add1053b94
- 5d ago Changed ddc15ea9a4c1
- 11d ago First seen · 211 lines · 87 tokens per session scan A c0a8943f42f5
oma-tf-infra is a skill published in the GitHub repository first-fluke/oh-my-agent (1,283 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 2,585 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
agent-harness-fault-injection
Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.
terraform-skill
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code…
terraform-cli-setup
A setup guide for installing and initializing Terraform, a tool for managing infrastructure from configuration files. It also covers basic provider downloads and mirror settings, but not cloud-provider credentials.
alicloud_cli
A Chinese-language reference for the Alibaba Cloud command-line tool, which lets developers manage Alibaba Cloud services from a terminal. It uses an offline copy of the documentation as its main source.
architecture-diagram
Dark-themed SVG architecture/cloud/infra diagrams as HTML.
harness-secrets
GCP Secret Manager integration: validate setup, fetch values, or confirm an NPMTOKEN is non-revoked via npm whoami. Used for publish-time token rotation without long-lived keys in CI.