菜单
Detect the runtime system, modules, allocation shape, and environment assumptions for dftracer sessions.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/llnl/dftracer-agents --skill dftracer-system-detect命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | dftracer-system-detect |
| description | Detect the runtime system, modules, allocation shape, and environment assumptions for dftracer sessions. |
rules.mdpermissions.mdpitfalls.mdlessons.mdLanguage-agnostic dftracer annotation rules — Rule 0 (what to skip), coverage, error paths, backend priority order, and wrapper handling
Python annotation rules for dftracer — decorator usage, initialize/finalize, comp types, class methods, and quick checklist
Lessons learned from dftracer annotation sessions — real errors, root causes, and exact fixes. Loaded by each per-file annotation subagent at startup. Updated by the pipeline recipe after every session (Step 8).