sample-oh-my-aidlcops is a plugin marketplace for Claude Code and Kiro that packages practices for managing the AWS AI-Driven Development Lifecycle, including design correctness and agent safety. It is for teams using agents to develop and operate AWS systems with approval checkpoints. Its catalogue contains the marketplace's plugins, skills, agents, and commands.
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.
git clone --depth 1 https://github.com/aws-samples/sample-oh-my-aidlcopsWrote 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/plugins/aws-samples/sample-oh-my-aidlcops/ai-infra)<a href="https://agentmods.dev/plugins/aws-samples/sample-oh-my-aidlcops/ai-infra"><img src="https://agentmods.dev/badge/plugins/aws-samples/sample-oh-my-aidlcops/ai-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/plugins/aws-samples/sample-oh-my-aidlcops/ai-infra"><img src="https://agentmods.dev/badge/plugins/aws-samples/sample-oh-my-aidlcops/ai-infra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ai-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 1mo 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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What it installs
The manifest is a name and a version. 6 skills, 2 commands, 4 agents travel with it, and installing the plugin installs all of them — 988 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill langfuse-observability A 81 tokens
- Skill agentic-eks-bootstrap A 91 tokens
- Skill ai-gateway-guardrails A 83 tokens
- Skill gpu-resource-management A 76 tokens
- Skill inference-gateway-routing A 84 tokens
- Skill vllm-serving-setup A 76 tokens
- Command oma-platform-bootstrap A 71 tokens
- Command oma-platform-review A 66 tokens
- Agent inference-gateway-operator A 85 tokens
- Agent langfuse-observer A 86 tokens
- Agent platform-architect A 100 tokens
- Agent vllm-deployer A 89 tokens
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.
- 1mo ago Changed f887934d0056
- 1mo ago First seen · 28 lines scan A b22c7554c6e5
ai-infra is a plugin published in the GitHub repository aws-samples/sample-oh-my-aidlcops (22 stars, last pushed 4d ago), licensed MIT-0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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