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在 OpenClaw 中安装
/install flow-panel-designer
功能描述
Design multicolor flow cytometry panels minimizing spectral overlap
使用说明 (SKILL.md)
Flow Panel Designer
Fluorophore selection optimizer.
Use Cases
- Multicolor panel design (10+ colors)
- Compensation planning
- Marker-fluorophore matching
- Spectral flow setup
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--markers |
string | - | Yes | Comma-separated target antigens |
--instrument |
string | - | No | Cytometer model |
--n-colors |
int | 8 | No | Number of fluorophores |
--output, -o |
string | stdout | No | Output file path |
Returns
- Optimal fluorophore assignments
- Spillover predictions
- Compensation control list
- Panel validation checks
Example
T-cell panel: CD3-BV421, CD4-FITC, CD8-PE...
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 package is small and the Python script appears to implement the panel-design logic without network access or secret use — that part is fine. However, the SKILL.md and the code disagree: the doc lists an --output parameter and file I/O concerns (path validation, ../ traversal protections) that the script does not implement. Before installing or running: (1) Confirm whether you need file output support — if so, request an updated script or SKILL.md that matches; (2) Run the script in a sandbox or isolated environment (it will execute locally) to validate behavior with non-sensitive test inputs; (3) If you plan to add file write/read features, ensure path sanitization and output-directory constraints are implemented to avoid path traversal; (4) If you will allow autonomous agent invocation, be aware that the agent could run the script locally — ensure the runtime environment restricts file system access as needed. The inconsistencies are likely sloppy/documentation issues rather than malicious, but they should be resolved before trusting the skill for production or sensitive data.
功能分析
Type: OpenClaw Skill
Name: flow-panel-designer
Version: 0.1.0
The flow-panel-designer skill is a legitimate scientific utility for optimizing multicolor flow cytometry panels. The core logic in scripts/main.py is purely algorithmic, calculating spectral overlaps based on a hardcoded dictionary of fluorochromes and providing marker assignments without any network activity, sensitive file access, or risky system calls. The SKILL.md documentation is transparent about its functionality and contains no evidence of prompt injection or malicious instructions.
能力评估
Purpose & Capability
The skill's name and description (flow cytometry panel design) match the included Python tool: FlowPanelDesigner implements fluorochrome data, overlap calculations, and a simple assignment heuristic. This is coherent for the stated purpose. However, SKILL.md documents parameters (e.g., --output / -o) and behavior (reading input files, writing output files) that the script does not implement, creating a mismatch between documentation and code.
Instruction Scope
SKILL.md refers to file system access, input-file path validation, and an --output parameter; the shipped script only reads a --markers CLI arg (required) and prints results to stdout. Because the documentation implies file read/write and path validation but the code lacks that functionality, an agent following the prose could attempt actions not covered by the code (for example, writing files or validating paths). Also the security checklist mentions preventing ../ traversal, but no code enforces any file path handling because the script does not accept file paths — this is a documentation/code inconsistency that could lead to unsafe assumptions.
Install Mechanism
No install specification and no external dependencies: the Python script uses only the standard library (argparse, itertools). No network downloads or third-party packages are requested, which is proportionate for this utility and low risk from an installation perspective.
Credentials
The skill does not request environment variables, credentials, or config paths. The code contains no network calls or secret-handling logic. This is proportionate to a local data-processing tool.
Persistence & Privilege
The skill does not request persistent or elevated privileges (always: false). There is no install step modifying agent/system configuration and no evidence it would persist beyond running the script.
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 flow-panel-designer - 安装完成后，直接呼叫该 Skill 的名称或使用
/flow-panel-designer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
flow-panel-designer 0.1.0
- Initial release: design multicolor flow cytometry panels with minimized spectral overlap.
- Supports marker-fluorophore matching, compensation planning, and panel validation.
- Command-line options for target antigens, instrument, color count, and output path.
- Provides spillover predictions and compensation control recommendations.
- Security and risk practices outlined; no extra Python packages required.
元数据
常见问题
Flow Panel Designer 是什么？
Design multicolor flow cytometry panels minimizing spectral overlap. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 186 次。
如何安装 Flow Panel Designer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install flow-panel-designer」即可一键安装，无需额外配置。
Flow Panel Designer 是免费的吗？
是的，Flow Panel Designer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Flow Panel Designer 支持哪些平台？
Flow Panel Designer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Flow Panel Designer？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v0.1.0。
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