技能详情（站内镜像，无评论）
作者：AIpoch @AIPOCH-AI
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 0 · 32 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：可疑 · OpenClaw ：良性
Package：aipoch-ai/comparison-table-gen
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：良性
OpenClaw 评估
The skill's code and runtime instructions match its stated purpose (generating Markdown comparison tables); it is a small, local Python utility with no network access or secret requirements.
目的
Name/description (comparison tables for concepts/drugs/studies) align with the included script and SKILL.md. The only code (scripts/main.py) implements exactly that functionality and does not request unrelated resources or credentials.
说明范围
Runtime instructions are limited to parsing CLI arguments and producing a JSON/Markdown table. The script reads CLI input and may write an output file path supplied by the user; it does not access network, environment secrets, or other system configuration. Minor caution: the script does not validate or sanitize the --output path (no explicit check against '../' traversal or enforcing a workspace-only directory).
安装机制
No install spec is present (instruction-only with an included script). This is low-risk since nothing is downloaded or installed by the skill itself.
证书
The skill requires no environment variables, credentials, or config paths. That is proportionate to its simple local text-processing purpose.
持久
always is false and the skill does not request any elevated or persistent platform privileges. It only runs when invoked and writes files only when the user supplies an output path.
综合结论
This skill appears to do what it claims: a small local Python script that builds Markdown tables from CLI arguments. Before installing/running: review the script if you plan to run it in a sensitive environment, and prefer supplying explicit safe output paths (avoid running as root or writing to system directories). Note the script does not sanitize the --output path, so avoid untrusted inputs that could cause directory traversal. If you will …
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Comparison Table Gen」。简介：Auto-generates comparison tables for concepts, drugs, or study results in Markd…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aipoch-ai/comparison-table-gen/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: comparison-table-gen
description: Auto-generates comparison tables for concepts, drugs, or study results
in Markdown format.
version: 1.0.0
category: Info
tags:
- comparison
- table
- markdown
- research
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# Comparison Table Gen
Generates comparison tables for medical content.
## Features
- Side-by-side comparisons
- Markdown table output
- Drug comparison templates
- Study result comparisons
## Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| `--items`, `-i` | string | - | Yes | Items to compare (comma-separated) |
| `--attributes`, `-a` | string | - | Yes | Comparison attributes (comma-separated) |
| `--output`, `-o` | string | - | No | Output JSON file path |
## Usage
```bash
# Compare two drugs
python scripts/main.py --items "Drug A,Drug B" --attributes "Mechanism,Dose,Side Effects"
# Save to file
python scripts/main.py --items "Surgery,Chemo,Radiation" --attributes "Cost,Efficacy" --output comparison.json
```
## Input Format
- **items**: Comma-separated list of items to compare (e.g., "Drug A,Drug B")
- **attributes**: Comma-separated list of comparison attributes (e.g., "Mechanism,Dose")
## Output Format
```json
{
"markdown_table": "string",
"html_table": "string"
}
```
## 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