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/yogsoth-ai/de-anthropocentric-research-engine --skill environment-specification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。
基于 SOC 职业分类
正在显示 SKILL.md
| name | environment-specification |
| description | SOP: define complete experiment environment specification |
| version | 1.0.0 |
| category | experiment-execution |
| type | sop |
| execution | subagent |
| prompt | ./prompt.md |
| shared | ["implementation-planning"] |
| input | Experiment design + hardware requirements + software dependencies |
| output | Complete environment spec (hardware/software/data/configuration) |
| dependencies | {"sops":["spawn-agent"]} |
Define the complete experiment runtime environment specification including hardware, software, data, and configuration to ensure experiments can be precisely reproduced across different times and locations.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Environment specification requires systematically enumerating all factors that could affect experiment results — from GPU model to library versions to OS settings — demanding meticulous checklist-style work.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
