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#

bash

# 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#

ParameterTypeDefaultRequiredDescription--typestring-YesExperiment type (general, molecular-biology, chemistry, cell-culture, animal-study)--output, -ostringstdoutNoOutput file path--titlestring-NoExperiment title--researcherstring-NoResearcher name--datestring-NoExperiment date (YYYY-MM-DD)--projectstring-NoProject 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 IndicatorAssessmentLevelCode ExecutionPython/R scripts executed locallyMediumNetwork AccessNo external API callsLowFile System AccessRead input files, write output filesMediumInstruction TamperingStandard prompt guidelinesLowData ExposureOutput files saved to workspaceLow

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