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.
使用我的智能体安装
将此请求复制给你的智能体,其中包含权威 Skill 页面和清单。
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.你的智能体仍应展示其计划,并按安全策略请求必要确认。
Agent 可读资源
当 AI Agent、爬虫或脚本需要干净上下文,而不是读取完整页面时,请使用这些链接。
测试它
正在使用“nature-experiment-log”。 316L sample, 500 C chloride corrosion for 300 hours in argon, with 0.0032 g mass loss.
预期结果:
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.
预期结果:
- 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.
预期结果:
A linked experiment note, an anomaly entry for the controller drift, and an updated index-ready record.
安全审计
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.
风险因素
🔑 环境变量 (1)
⚙️ 外部命令 (33)
🌐 网络访问 (1)
分享与引用此报告
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据,不判断该 Skill 是否安全。
复制报告链接
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>学术引用 (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 评分
评分依据 证据置信度: 中你能构建什么
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.
试试这些提示
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.
最佳实践
- 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.
常见问题
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?
开发者详情
作者
yuan1z0825许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
e22f0e5c175a84e01097fa734ec2a74420c14771
维护新鲜度
2026/8/19
使用量
0 次下载 · 0 次浏览