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 AlexK020908/infra-designer --skill apprunner-servicegit clone --depth 1 https://github.com/AlexK020908/infra-designerWrote 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/alexk020908/infra-designer/apprunner-service)<a href="https://agentmods.dev/skills/alexk020908/infra-designer/apprunner-service"><img src="https://agentmods.dev/badge/skills/alexk020908/infra-designer/apprunner-service/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/alexk020908/infra-designer/apprunner-service"><img src="https://agentmods.dev/badge/skills/alexk020908/infra-designer/apprunner-service.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 | $0.00141 |
| Opus 5 | $0.00000 | $0.00071 |
| Sonnet 5 | $0.00000 | $0.00028 |
| Haiku 4.5 | $0.00000 | $0.00014 |
Grade A, and why
apprunner-service 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 10d 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.
What it actually says
aws.apprunner.service
⚠️ PLACEHOLDER — to be authored/refreshed by the deep-research pipeline (plan §5).
Fully managed compute for containerized web apps/APIs — no servers to patch. Default compute choice when an app just needs to run a container behind HTTPS.
When to use
- Default compute choice for containerized web apps/APIs; no servers to patch.
Sizing
- 1 vCPU / 2 GB suits most starter apps; scale memory before CPU for Node apps.
Beyond the current catalog config
- v1 limitation: public container images only; RDS access needs a VPC connector (not yet emitted).
What ships with it
3 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.
- 10d ago First seen · 15 lines · 0 tokens per session scan A 651b4deeb495
apprunner-service is a skill published in the GitHub repository AlexK020908/infra-designer (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 141 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.
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