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在 OpenClaw 中安装
/install ihc-if-optimizer
功能描述
Optimize IHC/IF protocols for specific tissues and antigens
使用说明 (SKILL.md)
IHC/IF Optimizer
Immunostaining protocol optimization.
Use Cases
- Brain tissue staining
- Liver antigen retrieval
- Antibody dilution optimization
- Fluorescence panel design
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--tissue-type |
string | - | Yes | Tissue type (Brain, Liver, Kidney, etc.) |
--antigen |
string | - | Yes | Target protein/antigen name |
--detection-method |
string | IHC | No | Detection method (IHC or IF) |
--output, -o |
string | stdout | No | Output file path |
--format |
string | text | No | Output format (text, json, markdown) |
Returns
- Recommended retrieval method
- Antibody dilutions
- Blocking conditions
- Counterstain suggestions
Example
Brain tissue + Phospho-protein → Citrate retrieval, 1:200 antibody
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's code appears to do what it claims (generate protocol recommendations) and does not request credentials or network access, but the SKILL.md and the included script disagree about how to call the tool and what features it supports. Before installing or running it: 1) Verify and reconcile CLI parameter names (update SKILL.md to match --tissue, --antigen-location, --difficulty, or modify the script to implement the documented flags). 2) Test the script locally in a safe sandbox to confirm behavior (it currently prints to stdout and does not write files). 3) Don't feed patient-identifiable or sensitive sample metadata into the tool without appropriate handling — the skill does not claim any data protections. 4) Because the package is marked Draft and the docs are inconsistent, prefer manual review and unit tests (including invalid-flag handling) before enabling autonomous invocation in agents.
功能分析
Type: OpenClaw Skill
Name: ihc-if-optimizer
Version: 1.0.0
The IHC/IF Optimizer skill is a straightforward tool for generating laboratory protocol recommendations based on hardcoded data. The Python script (scripts/main.py) uses standard logic to map tissue types and antigen locations to specific experimental conditions without any external dependencies, network calls, or risky file system operations. The documentation (SKILL.md) aligns with the code's functionality and contains no evidence of malicious instructions or prompt injection attempts.
能力评估
Purpose & Capability
The Python script implements a protocol recommender for tissues and antigen locations and therefore aligns with the skill name and description. However, the SKILL.md advertises additional CLI options and parameter names (e.g., --tissue-type, --antigen, --detection-method, --output, --format) that are not implemented in scripts/main.py, indicating documentation and capability drift.
Instruction Scope
SKILL.md instructs usage with parameter names and output options that differ from the script. The script actually expects --tissue / -t, --antigen-location / -a (with specific choice values), --difficulty / -d, and supports --list-tissues. The SKILL.md's suggested output file/format behavior is not implemented. This mismatch could cause an agent or user to invoke non-existent flags or expect file-writing/network behavior that doesn't exist.
Install Mechanism
No install specification or external downloads are present; the skill is instruction-plus-bundled-script only. The script uses only the standard argparse module and requires no external packages or network installers.
Credentials
No environment variables, credentials, or config paths are requested. The script does not access environment variables or external services.
Persistence & Privilege
The skill does not request always:true and is user-invocable by default. It does not modify other skills or system-wide configuration and requests no elevated persistence.
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 ihc-if-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/ihc-if-optimizer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
v1.0.0
Initial release of ihc-if-optimizer.
- Provides protocol optimization for IHC/IF staining, tailored to specific tissues and antigens.
- Supports selection of tissue type, antigen, and detection method (IHC or IF).
- Outputs recommended retrieval methods, antibody dilutions, blocking conditions, and counterstain suggestions.
- Includes risk and security assessments, quality criteria, and example use cases.
- No external dependencies or API calls required.
元数据
常见问题
Ihc If Optimizer 是什么？
Optimize IHC/IF protocols for specific tissues and antigens. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 94 次。
如何安装 Ihc If Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ihc-if-optimizer」即可一键安装，无需额外配置。
Ihc If Optimizer 是免费的吗？
是的，Ihc If Optimizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ihc If Optimizer 支持哪些平台？
Ihc If Optimizer 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 Ihc If Optimizer？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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