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mouse-colony-planner小鼠群体规划器

Agent Skill

mouse-colony-planner 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,120

周安装

130

GitHub Stars

公开资料未说明

下载量

1,040
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mouse-colony-planner(小鼠群体规划器)
来源仓库:https://github.com/aipoch-ai/mouse-colony-planner
安装命令:
openclaw skills install mouse-colony-planner
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install mouse-colony-planner

简介

mouse-colony-planner 计算转基因小鼠群体的繁殖计划与笼具需求。

  • 适用于实验室动物管理与资源规划场景。
  • 在 OpenClaw 中可生成时间线与空间分配方案。
  • 涉及实验伦理时应遵循机构审批流程。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
mouse-colony-planner
description
Calculate breeding timelines and cage requirements for transgenic mouse
version
1.0.0
category
Wet Lab
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

Mouse Colony Planner

Calculate timelines and cage numbers required for transgenic mouse breeding to optimize breeding costs.

Functions

  • Timeline Calculation: Calculate time required for each stage based on breeding scheme
  • Cage Planning: Estimate cage numbers needed for experiments
  • Cost Estimation: Calculate total breeding costs (cage fees, husbandry fees, genotyping fees, etc.)

Usage

Command Line

python scripts/main.py --scheme <breeding_scheme> --females <number_of_females> --males <number_of_males> [options]

Parameters

ParameterDescriptionDefault
--schemeBreeding scheme: heterozygote, homozygote, conditionalRequired
--femalesStarting number of femalesRequired
--malesStarting number of malesRequired
--gestationGestation period (days)21
--weaningWeaning age (days)21
--sexual-maturitySexual maturity age (days)42
--cage-capacityMaximum cage capacity5
--cage-costCage cost per day (CNY)3.0
--genotyping-costGenotyping cost per mouse (CNY)15.0
--target-pupsTarget number of specific genotype mice10

Breeding Scheme Descriptions

  1. heterozygote (Heterozygote breeding): Heterozygote x Wild type → 50% Heterozygotes
  2. homozygote (Homozygote breeding): Heterozygote x Heterozygote → 25% Homozygotes
  3. conditional (Conditional knockout): Requires two-step breeding, introducing Cre/loxp system

Examples

# Heterozygote breeding scheme, starting with 10 females and 5 males, target to obtain 10 heterozygote offspring
python scripts/main.py --scheme heterozygote --females 10 --males 5 --target-pups 10

# Homozygote breeding, custom cycle parameters
python scripts/main.py --scheme homozygote --females 20 --males 10 --target-pups 20 --gestation 21 --weaning 21

# Conditional knockout scheme
python scripts/main.py --scheme conditional --females 15 --males 15 --target-pups 15

Output

  • Timeline for each stage
  • Cage numbers required at each stage
  • Estimated total cost
  • Breeding flowchart

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

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

# Python dependencies
pip install -r requirements.txt

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

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.39%
按下载量换算753

安全审计

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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