Skill 审计报告
hyperloom-workload-optimizer 审计报告.
Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer. Given a model, framework, workload (TP/EP, concurrency, ISL/OSL, precision), an objective and a time budget, it explores per-workload which levers to pull (serving/config parameters and env, framework enablement and source patches, and hot GPU-kernel rewrites), benchmarks each candidate, and returns the optimization stack that produced the gain. Use when the user wants to make a model serve faster, raise tokens/sec or throughput, optimize or tune vLLM or SGLang on MI300X/MI325X/MI355X, run Hyperloom, run the kernel-agent, quantize-then-optimize with Quark, set up Hyperloom from scratch, or resume a Hyperloom session. Do not use to stand up a server for plain serving, diagnose a broken ROCm install, or run a one-off kernel/benchmark or trace analysis without the optimization loop.
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
信息62
395 个 GitHub Stars
Star/Fork 活跃度
警告57
395 个 Star，39 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过100
距上次推送 4 天
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
通过86
元数据包含足够的用法与工作流上下文
依赖与运行时风险
失败36
command execution surface, credential or environment access
安装可用性
通过92
npx skills add amd/skills --skill hyperloom-workload-optimizer
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
失败22
secrets or environment access, shell or command execution
仓库证据
通过86
https://github.com/amd/skills/tree/main/skills/hyperloom-workload-optimizer
审查状态
警告46
缺少 AI 审查批准
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add amd/skills --skill hyperloom-workload-optimizer
仓库
88
https://github.com/amd/skills/tree/main/skills/hyperloom-workload-optimizer
许可证
86
MIT
维护
100
距上次推送 4 天
AI 审查
55
Review approval is missing
README/SKILL.md 完整度
86
Usable description available
依赖风险
36
command execution surface, credential or environment access
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
22
secrets or environment access, shell or command execution
Star/Fork 活跃度
57
395 个 Star，39 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
395 个 GitHub Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
警告
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- 缺少 AI 审查批准
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 395 stars, 39 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
- Review status: AI review approval is missing
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛；它不是完整的源代码安全审计。
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