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 amd/skills --skill magpie-kernel-evaluatorgit 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/skills/amd/skills/magpie-kernel-evaluator)<a href="https://agentmods.dev/skills/amd/skills/magpie-kernel-evaluator"><img src="https://agentmods.dev/badge/skills/amd/skills/magpie-kernel-evaluator/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/amd/skills/magpie-kernel-evaluator"><img src="https://agentmods.dev/badge/skills/amd/skills/magpie-kernel-evaluator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00127 | $0.01966 |
| Opus 5.5 | $0.00051 | $0.00786 |
| Sonnet 5.5 | $0.00025 | $0.00393 |
| Haiku 4.5 | $0.00013 | $0.00197 |
Grade A, and why
magpie-kernel-evaluator 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 20d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Magpie
Use Magpie for three connected jobs:
- Benchmark an inference workload and collect throughput, latency, and traces.
- Analyze or compare GPU kernels for correctness and performance.
- Drive an optimization loop from a benchmark bottleneck to source, candidate kernels, and end-to-end validation.
Describe only capabilities supported by the checked-out Magpie version. Do not infer support for an unverified ROCm, GPU, framework, or experimental integration.
Choose the workflow
| User goal | Workflow |
|---|---|
| Evaluate one implementation | analyze |
| Rank two or more implementations | compare |
| Measure model-serving performance | benchmark |
| Find expensive kernels in existing traces | standalone gap analysis |
| Explain a profiled inference workload | benchmark → TraceLens post-processing → stage/roofline review |
| Optimize an end-to-end workload | benchmark → TraceLens/gap analysis → source mapping → analyze/compare → re-benchmark |
Use a YAML config for reproducible or multi-step work. Use inline CLI arguments for small exploratory runs.
Preflight
Installing this skill does not install the Magpie application (magpie-eval). For a preparation-only request, read the supplied fixtures and reference.md, write the requested plan or configuration, and identify commands that remain unverified. Do not install packages or execute a workload when the user forbids it; a missing Magpie installation does not prevent preparing a plan.
Before executing a Magpie workload:
- Check
magpie --helpin the intended Python environment (Python 3.10+). If the command is missing, trypython -m Magpie --helpin that same environment; a working module entry point can be used instead of the CLI.No module named Magpiemeans the application is not installed in that environment. For errors inside an installed Magpie package, diagnose the reported import or dependency failure instead. - If Magpie is not installed, install it in the intended environment before continuing:
What ships with it
9 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.
- .federated.json 308 B
- evals/evals.json 4.9 KB
- evals/files/analyze-simple-hip/examples/simple_hip_test/analyze_default.yaml 413 B
- evals/files/analyze-simple-hip/examples/simple_hip_test/vector_add.hip 1.7 KB
- evals/files/compare-hip-variants/baseline/vector_add.hip 1.7 KB
- evals/files/compare-hip-variants/candidate/vector_add.hip 1.8 KB
- examples.md 4.9 KB
- reference.md 9.8 KB
- skill-card.md 458 B
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.
- 20d ago Changed · +9 lines b10e48bb8f4f
- 1mo ago First seen · 150 lines · 127 tokens per session scan A f5cb65304477
magpie-kernel-evaluator is a skill published in the GitHub repository amd/skills (421 stars, last pushed yesterday), licensed MIT. It adds 127 tokens to every session and 1,966 once invoked, about $0.0005 per session on Opus 5.5. 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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