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Eln Template Creator

通过本地 Python 脚本按实验类型(通用、分子生物学、化学、细胞培养、动物实验)生成标准化的电子实验记录 Markdown 模板,支持标题、研究者、日期、项目等参数,输出含实验目的、材料试剂、设备、步骤、结果记录、数据分析、结论等标准章节的模板文件,可写入文件或打印到标准输出。

aipoch-ai
aipoch-ai
热度 80.39
最近更新 2026-05-11 17:33:46
分类:效率依赖:代码执行 / 读写文件应用场景:模板 / 工作流 / 研究

安装技能

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执行命令安装此 skill: npx secure-skills-cli add eln-template-creator
Metadata
name
eln-template-creator
description
Generate standardized experiment templates for Electronic Laboratory Notebooks
version
1.0.0
category
Data
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

ELN Template Creator

ID: 139

Generate standardized experiment record templates for Electronic Laboratory Notebooks (ELN).

Description

This Skill is used to generate standardized experiment record templates that comply with laboratory specifications, supporting multiple experiment types and custom fields.

Usage

# Generate molecular biology experiment template
python scripts/main.py --type molecular-biology --output experiment_template.md

# Generate chemistry synthesis experiment template
python scripts/main.py --type chemistry --output chemistry_template.md

# Generate cell culture experiment template
python scripts/main.py --type cell-culture --output cell_culture_template.md

# Generate general experiment template
python scripts/main.py --type general --output general_template.md

# Custom template parameters
python scripts/main.py --type general --title "Protein Purification Experiment" --researcher "Zhang San" --output protein_purification.md

Parameters

Parameter Type Default Required Description
--type string - Yes Experiment type (general, molecular-biology, chemistry, cell-culture, animal-study)
--output, -o string stdout No Output file path
--title string - No Experiment title
--researcher string - No Researcher name
--date string - No Experiment date (YYYY-MM-DD)
--project string - No Project name/number

Supported Experiment Types

  1. general - General experiment template
  2. molecular-biology - Molecular biology experiments (PCR, cloning, electrophoresis, etc.)
  3. chemistry - Chemical synthesis experiments
  4. cell-culture - Cell culture experiments
  5. animal-study - Animal experiments

Output Format

Generated templates are in Markdown format, containing the following standard sections:

  • Basic experiment information
  • Experiment purpose
  • Experiment materials and reagents
  • Experiment equipment
  • Experiment procedures
  • Results recording
  • Data analysis
  • Conclusions and discussion
  • Attachments and raw data

Requirements

  • Python 3.8+

Author

OpenClaw

Risk Assessment

Risk Indicator Assessment Level
Code Execution Python/R scripts executed locally Medium
Network Access No external API calls Low
File System Access Read input files, write output files Medium
Instruction Tampering Standard prompt guidelines Low
Data Exposure Output files saved to workspace Low

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated (no ../ traversal)
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized (no stack traces exposed)
  • Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • Successfully executes main functionality
  • Output meets quality standards
  • Handles edge cases gracefully
  • Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Performance optimization
    • Additional feature support