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| 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 |
ID: 139
Generate standardized experiment record templates for Electronic Laboratory Notebooks (ELN).
This Skill is used to generate standardized experiment record templates that comply with laboratory specifications, supporting multiple experiment types and custom fields.
# 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
| 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 |
Generated templates are in Markdown format, containing the following standard sections:
OpenClaw
| 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 |
No additional Python packages required.