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/amd/skillsWrote 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/amd/skills/amd-skills)<a href="https://agentmods.dev/plugins/amd/skills/amd-skills"><img src="https://agentmods.dev/badge/plugins/amd/skills/amd-skills/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/amd/skills/amd-skills"><img src="https://agentmods.dev/badge/plugins/amd/skills/amd-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
amd-skills 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.
What it actually says
{
"name": "amd-skills",
"source": "./",
"version": "0.2.0",
"strict": false,
"skills": [
"./skills/local-ai-use",
"./skills/local-ai-app-integration",
"./skills/serving-llms-on-instinct",
"./skills/tracelens-analysis-orchestrator",
"./skills/hyperloom-workload-optimizer"
],
"description": "AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom, and analyze GPU kernel and PyTorch trace performance."
}What it installs
The manifest is a name and a version. 8 skills travel with it, and installing the plugin installs all of them — 877 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill local-ai-app-integration A 130 tokens
- Skill hyperloom-workload-optimizer A 223 tokens
- Skill tracelens-analysis-orchestrator A 91 tokens
- Skill eval-post-processing A 0 tokens
- Skill local-ai-use B 230 tokens
- Skill quality-llm-eval A 0 tokens
- Skill serving-llms-on-instinct B 203 tokens
- Skill workflow-llm-eval A 0 tokens
What ships with it
1 file beside marketplace.json#amd-skills 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.
- 1mo ago First seen · 14 lines scan A 6dbe073a6887
amd-skills is a plugin published in the GitHub repository amd/skills (465 stars, last pushed yesterday), licensed MIT. 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 2026-09-03.
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