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 oborchers/fractional-cto --skill service-owned-infrastructuregit clone --depth 1 https://github.com/oborchers/fractional-ctoWrote 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/oborchers/fractional-cto/service-owned-infrastructure)<a href="https://agentmods.dev/skills/oborchers/fractional-cto/service-owned-infrastructure"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/service-owned-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/skills/oborchers/fractional-cto/service-owned-infrastructure"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/service-owned-infrastructure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.02548 |
| Opus 5 | $0.00036 | $0.01274 |
| Sonnet 5 | $0.00015 | $0.00510 |
| Haiku 4.5 | $0.00007 | $0.00255 |
Grade A, and why
service-owned-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 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.
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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Team That Builds It Should Deploy It
Every week a service team waits for a central platform team to provision a load balancer, create a DNS record, or update a task definition is a week of velocity lost. The bottleneck is never technical -- it is organizational. When infrastructure lives in a central repository owned by a separate team, every deployment becomes a ticket, every ticket becomes a queue, and every queue becomes a reason to cut corners. Service-owned infrastructure eliminates this bottleneck by placing infrastructure definitions alongside the application code they serve.
This does not mean every team reinvents networking from scratch. It means the platform team provides modules and standards; service teams consume them. The platform team builds the highway. Service teams drive on it.
The Repository Pattern
Each service repository contains its own infrastructure/ directory with per-environment Terraform configurations alongside the application code. This is the foundational layout:
myapp-api/
├── src/ # Application code
├── Dockerfile # Container image definition
├── infrastructure/
│ ├── dev/
│ │ ├── main.tf # Labels module, remote state references
│ │ ├── service.tf # Container service definition
│ │ ├── database.tf # Service-specific database (if needed)
│ │ ├── loadbalancer.tf # Target groups, listener rules
│ │ ├── registry.tf # Container registry repository
│ │ ├── secrets.tf # Secrets Manager entries
│ │ ├── alerts.tf # Monitoring alarms
│ │ └── backend.tf # Remote state backend configuration
│ └── prod/
│ └── ...same structure, different values
└── .github/workflows/ # CI/CD pipelines (or .gitlab-ci.yml, etc.)
├── ci.yml
└── cd.yml
The critical insight: application code and infrastructure code are versioned together, reviewed together, and deployed together. When a developer changes the container definition, they update the task definition in the same pull request. When a service needs a new secret, the Secrets Manager entry is added in the same commit that references it.
What ships with it
2 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.
- 12d ago First seen · 239 lines · 73 tokens per session scan A 983fc271dbba
service-owned-infrastructure is a skill published in the GitHub repository oborchers/fractional-cto (30 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 2,548 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.
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