Skill: aipoch-ai/eln-template-creator (version 0.1.0)

--- 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 ```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 | 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


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)