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Eln Template Creator

Name: Eln Template Creator
Author: aipoch-ai

作者 AIpoch · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ⚠ suspicious

228

总下载

当前安装

版本数

在 OpenClaw 中安装

/install eln-template-creator

功能描述

Generate standardized experiment templates for Electronic Laboratory Notebooks

使用说明 (SKILL.md)

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

general - General experiment template
molecular-biology - Molecular biology experiments (PCR, cloning, electrophoresis, etc.)
chemistry - Chemical synthesis experiments
cell-culture - Cell culture experiments
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

Basic Functionality: Standard input → Expected output
Edge Case: Invalid input → Graceful error handling
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

安全使用建议

This skill appears coherent for producing ELN templates, but it runs a local Python script that writes files. Before running it on sensitive systems or with important file paths: 1) review the full scripts/main.py source to confirm there are no network calls, shell.exec/subprocess calls, or code that reads unrelated filesystem locations; 2) verify how the script handles the --output path (ensure it prevents directory traversal and overwriting important files); 3) run it in a sandboxed environment or container with a restricted working directory and non-privileged user; 4) prefer supplying explicit safe output paths (not user home or system directories); and 5) if you lack the ability to review the code, avoid running it with production data or secrets. If you want, I can scan the remainder of scripts/main.py for dangerous patterns (networking, subprocess, file traversal) — provide the full file text and I will check.

功能分析

Type: OpenClaw Skill Name: eln-template-creator Version: 0.1.0 The skill bundle is a legitimate utility designed to generate standardized Markdown templates for Electronic Laboratory Notebooks (ELN). The core logic in `scripts/main.py` uses standard Python libraries to format user-provided metadata into predefined experiment templates and write them to a specified output file. No evidence of data exfiltration, network communication, obfuscation, or malicious intent was found. While the script lacks path sanitization for the output file, the documentation in `SKILL.md` transparently identifies this as a potential risk area, and the overall behavior is strictly aligned with the stated purpose.

能力评估

✓ Purpose & Capability

The name, description, SKILL.md usage examples, and the included Python script align: the tool generates Markdown experiment templates for ELNs and supports multiple experiment types. There are no unrelated requested credentials, binaries, or install actions.

ℹ Instruction Scope

Runtime instructions simply run scripts/main.py with CLI options and write an output file. That scope matches the stated purpose. However the SKILL.md includes a security checklist (e.g., "Input file paths validated (no ../ traversal)") but the documentation does not show that these checks are implemented. Because the script will write files specified by the user, lack of explicit path validation could allow accidental or malicious overwriting of files outside the workspace if not handled properly.

✓ Install Mechanism

No install spec is present (instruction-only with an included script). This is low-risk compared with remote downloads; nothing will be automatically fetched from the network during install.

✓ Credentials

The skill requires no environment variables, credentials, or config paths. That is proportionate for a local template generator.

✓ Persistence & Privilege

The skill is not marked always:true and does not request permanent presence or modify other skills. It can be invoked by the agent, which is the platform default and appropriate here.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install eln-template-creator
安装完成后，直接呼叫该 Skill 的名称或使用 /eln-template-creator 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.1.0

Initial release of eln-template-creator. - Generates standardized experiment record templates for Electronic Laboratory Notebooks (ELN). - Supports multiple experiment types: general, molecular-biology, chemistry, cell-culture, animal-study. - Allows customization with parameters such as title, researcher, date, and project. - Outputs templates in Markdown format with structured experiment sections. - No additional Python packages required; compatible with Python 3.8+.

元数据

Slug eln-template-creator

版本 0.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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