Skills nature-experiment-log

📦

nature-experiment-log

Name: nature-experiment-log
Author: yuan1z0825

Content revision r1 Safe 🔑 Env variables⚙️ External commands🌐 Network access

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.

Supports: Claude Codex Code(CC)

🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

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.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/yuan1z0825-nature-experiment-log.md Signed manifest GET /api/skills/yuan1z0825-nature-experiment-log/manifest Signed lockfile GET /api/skills/yuan1z0825-nature-experiment-log/lockfile

Test it

Using "nature-experiment-log". 316L sample, 500 C chloride corrosion for 300 hours in argon, with 0.0032 g mass loss.

Expected outcome:

A Markdown experiment log with identifiers, conditions, observations, results, missing-field questions, and an attachment section.

Using "nature-experiment-log". Three furnace photographs and a voice transcript describing a thermal stability test.

Expected outcome:

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.

Using "nature-experiment-log". Create an Obsidian record and note that the temperature controller drifted during the run.

Expected outcome:

A linked experiment note, an anomaly entry for the controller drift, and an updated index-ready record.

Security Audit

Safe

v2 • 8/18/2026 Open versioned report

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.

Files scanned

607

Lines analyzed

Review items

False positives ignored

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex View Audit History →

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown badge

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Embed card

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Academic citations (APA · BibTeX · CFF)

APA citation

yuan1z0825. (2026). nature-experiment-log security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-experiment-log/audits/2

BibTeX citation

@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

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

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.

Try These Prompts

Create a Basic Log

Create an experiment log from these notes. Preserve unknown values as confirmation items and return save-ready Markdown.

Organize Mixed Materials

Organize these images, transcripts, and notes into one experiment record. List each source attachment and identify missing fields.

Apply Project Naming

Create a structured log using project code [CODE], sample batch [BATCH], and output root [PATH]. Follow the documented experiment ID rules.

Update the Research Archive

Build the experiment log from the supplied materials, archive attachments, update the experiment index, and append any anomaly. Confirm ambiguous facts before writing.

Best Practices

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.

Avoid

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.