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.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
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.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Agent-lesbare Ressourcen
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
Testen
„nature-experiment-log“ wird verwendet. 316L sample, 500 C chloride corrosion for 300 hours in argon, with 0.0032 g mass loss.
Erwartetes Ergebnis:
A Markdown experiment log with identifiers, conditions, observations, results, missing-field questions, and an attachment section.
„nature-experiment-log“ wird verwendet. Three furnace photographs and a voice transcript describing a thermal stability test.
Erwartetes Ergebnis:
- 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.
„nature-experiment-log“ wird verwendet. Create an Obsidian record and note that the temperature controller drifted during the run.
Erwartetes Ergebnis:
A linked experiment note, an anomaly entry for the controller drift, and an updated index-ready record.
Sicherheitsaudit
SicherAll 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.
Risikofaktoren
🔑 Umgebungsvariablen (1)
⚙️ Externe Befehle (33)
🌐 Netzwerkzugriff (1)
Diesen Bericht teilen & zitieren
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
Berichtslink kopieren
https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/yuan1z0825-nature-experiment-log?utm_source=security_passport_badge)HTML-Badge
<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>Einbettungskarte
<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>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
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-Zitat
@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-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
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.
Diese Prompts ausprobieren
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.
Bewährte Praktiken
- 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.
Vermeiden
- 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.
Häufig gestellte Fragen
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?
Entwicklerdetails
Autor
yuan1z0825Lizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
e22f0e5c175a84e01097fa734ec2a74420c14771
Aktualität der Wartung
19.8.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur