nature-experiment-log
Create Traceable Experiment Logs
Scattered laboratory notes make experiments difficult to review and reproduce. This skill organizes mixed source material into structured Markdown records with linked attachments.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "nature-experiment-log" from https://skillstore.io/skills/yuan1z0825-nature-experiment-log.md and its manifest at https://skillstore.io/api/skills/yuan1z0825-nature-experiment-log/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「nature-experiment-log」。 316L sample, 500 C chloride corrosion for 300 hours in argon, with 0.0032 g mass loss.
預期結果:
A Markdown experiment log with identifiers, conditions, observations, results, missing-field questions, and an attachment section.
正在使用「nature-experiment-log」。 Three furnace photographs and a voice transcript describing a thermal stability test.
預期結果:
- A structured thermal stability record with YAML metadata.
- An attachment index describing each photograph and transcript.
- A confirmation list for uncertain temperatures, timings, or sample identifiers.
正在使用「nature-experiment-log」。 Create an Obsidian record and note that the temperature controller drifted during the run.
預期結果:
A linked experiment note, an anomaly entry for the controller drift, and an updated index-ready record.
安全審計
安全All static findings are false positives caused by Markdown formatting, multilingual text, documented paths, public links, and optional CLI examples. No prompt injection, obfuscated payload, secret access, system reconnaissance, or automatic command execution was found.
風險因素
🔑 環境變數 (1)
⚙️ 外部命令 (33)
🌐 網路存取 (1)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/yuan1z0825-nature-experiment-log?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/yuan1z0825-nature-experiment-log?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/yuan1z0825-nature-experiment-log/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/yuan1z0825-nature-experiment-log.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
yuan1z0825. (2026). nature-experiment-log security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2BibTeX 引用
@techreport{yuan1z0825-yuan1z0825-nature-experiment-log-2026,
author = {yuan1z0825},
title = {nature-experiment-log security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "nature-experiment-log security audit report (audit version 2)"
version: "unspecified"
type: report
authors:
- name: "yuan1z0825"
date-released: "2026-08-18"
url: "https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2"
identifiers:
- type: other
value: "skillstore:yuan1z0825-nature-experiment-log:audit:2"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Record Daily Bench Work
Turn notes, photographs, and voice transcripts into a consistent daily experiment log.
Standardize Team Records
Apply shared identifiers, fields, attachment paths, and missing-data checks across a project.
Build a Searchable Archive
Create Markdown records and optional Obsidian indexes for reviewing experiments and anomalies.
試試這些提示
Create an experiment log from these notes. Preserve unknown values as confirmation items and return save-ready Markdown.
Organize these images, transcripts, and notes into one experiment record. List each source attachment and identify missing fields.
Create a structured log using project code [CODE], sample batch [BATCH], and output root [PATH]. Follow the documented experiment ID rules.
Build the experiment log from the supplied materials, archive attachments, update the experiment index, and append any anomaly. Confirm ambiguous facts before writing.
最佳實務
- Provide dates, sample identifiers, conditions, observations, and source attachments together.
- Review every confirmation item before treating the generated record as final.
- Choose the output directory and naming conventions before requesting file creation.
避免
- Do not ask the skill to invent missing measurements or scientific conclusions.
- Do not grant Feishu or filesystem access beyond the required project scope.
- Do not overwrite established experiment identifiers without checking linked records.
常見問題
Which source materials can I provide?
Does the skill require Obsidian?
Does the skill require Feishu?
How are missing details handled?
Can it update experiment indexes?
Does it validate experimental conclusions?
開發者詳細資訊
作者
yuan1z0825授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
e22f0e5c175a84e01097fa734ec2a74420c14771
維護新鮮度
2026/8/19
使用量
0 次下載 · 0 次瀏覽