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 · 24 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：aipoch-ai/facs-gating-viz-style
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill claims to produce publication-ready FACS plots but the provided code is only a stub (it prints messages and does not read or plot data), and the SKILL.md claims features and no dependencies that are inconsistent with real plotting work.
目的
Name/description say 'beautify FACS gating plots' and SKILL.md lists contour/density/dot styling and publication-ready output, but the included script (scripts/main.py) does not read the FCS file, perform plotting, or write output. SKILL.md also states 'No additional Python packages required', which is inconsistent with typical plotting workflows (matplotlib, numpy, etc.). This suggests the package is incomplete or misleading about capabilities.
说明范围
Runtime instructions tell the agent/user to run python scripts/main.py --data fcs_file.fcs and imply reading input and writing output. The actual script accepts a --data argument but only prints messages and does not access the filesystem or network. There are no instructions that read unrelated files, exfiltrate data, or call external endpoints.
安装机制
No install spec (instruction-only plus a small script). Nothing is downloaded or written to disk by an installer. This is the lowest-risk install mechanism.
证书
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets or unusual system access.
持久
Flags are default (always=false, user-invocable=true, model invocation allowed). The skill does not request persistent presence, nor does it modify other skills or system-wide settings.
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「Facs Gating Viz Style」。简介：Beautify FACS gating plots for publication。
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/facs-gating-viz-style/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: facs-gating-viz-style
description: Beautify FACS gating plots for publication
version: 1.0.0
category: Visual
tags: []
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---
# FACS Gating Viz Style
Beautify flow cytometry gating plots for publication.
## Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| `--data`, `-d` | string | - | Yes | FCS file path |
| `--style`, `-s` | string | contour | No | Plot style (contour, density, dot) |
## Usage
```bash
python scripts/main.py --data fcs_file.fcs --style contour
```
## Features
- Contour plots
- Density visualization
- Publication-ready styling
## 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