Skill audit report

magpie-kernel-evaluator Audit report.

Benchmarks LLM inference and drives GPU kernel optimization with Magpie. Use when the user wants to benchmark vLLM, SGLang, or Atom; capture torch traces; post-process inference traces with TraceLens into prefill/decode and roofline reports; identify top bottleneck kernels or map profiler names to source; analyze or compare HIP, CUDA, PyTorch, or Triton kernels; validate and rank optimized variants; run local, container, or Ray workloads; or mentions Magpie, TraceLens, gap analysis, TTFT, TPOT, kernel evaluation, or AMD GPU optimization.

BLOCKED · BLOCKNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

332 GitHub stars

Stars/forks activity

WARN

332 stars, 30 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

command execution surface, credential or environment access

Install availability

PASS

npx skills add amd/skills --skill magpie-kernel-evaluator

Install command safety

PASS

standard package or runtime install path

Permission surface

FAIL

secrets or environment access, shell or command execution

Repository evidence

PASS

https://github.com/amd/skills/tree/main/skills/magpie-kernel-evaluator

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

PASS

npx skills add amd/skills --skill magpie-kernel-evaluator

Repository

PASS

https://github.com/amd/skills/tree/main/skills/magpie-kernel-evaluator

License

PASS

MIT

Maintenance

PASS

2mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

command execution surface, credential or environment access

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, shell or command execution

Stars/forks activity

FIX

332 stars, 30 forks; issue activity unavailable in current metadata

Adoption

INFO

332 GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 332 stars, 30 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

Review the source

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: block
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 76/100
Quality: 69/100
Trust: 72/100
Install safety: 92/100
Permission surface: 36/100
Maintenance: 2mo since push
Events: 13 events
GitHub stars: 332
Last push: Sep 5, 2026

Agent safety v2

32/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Metadata combines secrets access with shell or command execution
High-risk permission hints: Shell or command execution, Secrets or environment access

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

High-risk permission hints: Shell or command execution, Secrets or environment access
Dependency or permission surface needs review

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