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Skills/yuan1z0825/nature-skills/nature-experiment-log
nature-experiment-log logo

nature-experiment-log

yuan1z0825/nature-skills
771 installs30K stars
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Installation

npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-experiment-log

Summary

标准化实验日志记录——接收原始材料(图/语音/文字),产出带 YAML frontmatter 的标准日志到 Obsidian vault。需配合飞书 CLI 或手动输入使用。

SKILL.md

experiment-log — 实验日志标准化

触发条件

用户通过以下任一方式提交实验原始材料时自动加载:

  • 路径 A — CLI 直接提交(图片 / 语音转录 / 文字)
  • 路径 B — 发到飞书科研群,通过 feishu-cli-integration 扫描

前置依赖

需要配合 feishu-cli-integration skill 使用。确保:

  • 飞书 bot 已添加到目标群
  • bot 权限:im:message + im:resource + im:message.group_msg
  • 群 ID 配置在 skill 上下文中

处理流程

  1. 接收材料 → vision_analyze 读图 + 提取结构化信息
  2. 生成实验 ID + 样品批次 ID
  3. 写出标准日志到 wiki/实验日志/{体系}/{类型}/{exp_id}.md
  4. 原始材料(图片等)归档到 raw/experiments/YYYY.MM.DD_描述_EXPID/
  5. 日志末尾加「原始材料」段落,引用 raw 路径
  6. 检查异常 → 有则追加 异常记录.md
  7. 追加操作记录到日志索引
  8. 告知用户写入位置

模糊信息(温度记不清、样品编号不明)主动询问,不猜测写入。

目录结构

/vault/
├── raw/experiments/                       ← 原始层(归档)
│   └── YYYY.MM.DD_描述_EXPID/
│       ├── 笔记.md
│       ├── 图片/
│       └── 语音/
│
wiki/实验日志/                              ← 标准层(产出)
├── 实验索引.md
├── 异常记录.md
├── {体系A}/
│   ├── 实验类型1/
│   ├── 实验类型2/
│   └── ...
├── {体系B}/
│   └── ...
└── 公共/
    └── 设备与试剂追踪.md

实验 ID 规则

{体系代码}-{设备代码}-YYMMDD-{序号}
  │        │       │       └─ 当日序号(001 起)
  │        │       └─ 日期
  │        └─ 设备代码(M=马弗炉, T=管式炉, E=电化学, G=手套箱, F=可控气氛炉, B=通用)
  └─ 体系代码(自定义,如 CL / NO / OX / HY 等)

样品批次 ID 规则

{体系代码}-{候选编号}-B{序号}
  │        │         └─ 配盐批次序号
  │        └─ 候选配方编号
  └─ 体系代码

同一批样品跨多个实验时 sample_batch 保持一致,便于 dataview 追踪。

设备代码

代码设备场景
M马弗炉热处理、浸泡腐蚀
T管式炉气氛控制、脱水、热稳定性
E电化学工作站CV/SWV/EIS
G手套箱配盐、称量、取样
F可控气氛炉精密气氛控制
B通用干燥、清洗、制样

按实际设备扩展。

Obsidian 集成

本 skill 设计为与 Obsidian vault 配合使用。Obsidian 是一个基于本地 Markdown 文件的笔记系统,配合 Dataview 插件可实现实验数据的动态查询和仪表盘。

为什么用 Obsidian:

  • 所有日志为纯文本 Markdown,可版本控制、可全文搜索
  • YAML frontmatter 结构使 dataview 可自动生成实验列表、异常汇总、设备使用记录
  • 本地存储,无云依赖性,数据安全

安装 skill 后需在 vault 中创建以下文件:

文件模板用途
实验日志/实验索引.mdtemplates/experiment-index.mdDataview 查询仪表盘
实验日志/异常记录.mdtemplates/anomaly-log.md异常记录
实验日志/公共/设备与试剂追踪.mdtemplates/equipment-tracking.md设备与试剂追踪

将模板文件复制到你的 Obsidian vault 对应位置即可使用。

参考示例

references/ 目录包含三个完整的实验日志示例,覆盖常见实验类型:

文件实验类型
references/example-log.md材料腐蚀浸泡实验
references/example-electrochemical.md电化学表征(CV 窗口测试)
references/example-thermal-stability.md热稳定性实验

每个示例均包含完整的 YAML frontmatter 和 Markdown 正文,可直接作为模板修改使用。

飞书 CLI 操作要点

路径 B 使用 feishu-cli-integration skill:

  • 拉消息:lark-cli im +chat-messages-list --chat-id oc_*** --page-size 30 --sort asc
  • 下载图片:lark-cli im +messages-resources-download --message-id --file-key --type image --output <相对路径>
  • ⚠️ --output 只接受相对路径,先 cd 到 raw/experiments/ 归档目录

群 ID 和 bot 权限按 feishu-cli-integration skill 的配置获取。

自定义指南

  • 体系代码:按你的实验体系自定义(如 CL/NO/OR/PO)
  • 实验类型:在 wiki/实验日志/{体系}/ 下按需创建子目录
  • YAML 字段:模板是建议结构,可增删字段
  • 设备代码:按实际实验室设备扩展

相关文件

文件用途
references/example-log.md完整实验日志示例
wiki/实验日志/实验索引.mdDataview 仪表盘
wiki/实验日志/异常记录.md异常记录格式
wiki/实验日志/公共/设备与试剂追踪.md设备、试剂追踪

Score

0–100
65/ 100

Grade

C

Popularity17/30

771 installs — growing adoption. Source repo has 29,663 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Nature Experiment Log skill score badge previewScore badge

Markdown

[![Nature Experiment Log skill](https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-experiment-log/badges/score.svg)](https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-experiment-log)

HTML

<a href="https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-experiment-log"><img src="https://www.claudemarket.ai/skills/yuan1z0825/nature-skills/nature-experiment-log/badges/score.svg" alt="Nature Experiment Log skill"/></a>

Nature Experiment Log FAQ

How do I install the Nature Experiment Log skill?

Run “npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-experiment-log” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Nature Experiment Log skill do?

标准化实验日志记录——接收原始材料(图/语音/文字),产出带 YAML frontmatter 的标准日志到 Obsidian vault。需配合飞书 CLI 或手动输入使用。 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Nature Experiment Log skill free?

Yes. Nature Experiment Log is a free, open-source skill published from yuan1z0825/nature-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Nature Experiment Log work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Nature Experiment Log works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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