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Agent Skill · 研究检索

moltcare-open(换毛护理开放)

moltcare-open 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

moltcare-open 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 13,970。

总安装 8,938周安装 380GitHub Stars 公开资料未说明下载 3,131核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
3.2.0

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:moltcare-open(换毛护理开放)
来源仓库:https://github.com/useens/moltcare-open
安装命令:
openclaw skills install moltcare-open
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 moltcare-open

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

moltcare-open 用于安装和配置 MoltCare Agent Framework,支持三层触发架构。适用于构建具有精确触发条件的代理系统。支持 Exact、Fuzzy 和 Contextual 触发模式。使用前需确认框架依赖和环境兼容性。建议核实触发逻辑和事件响应机制。

moltcare-open 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install moltcare-open;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

moltcare-open 怎么安装?

在终端执行 openclaw skills install moltcare-open。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

moltcare-open 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

moltcare-open 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

moltcare-open 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

moltcare-open 用的人多吗?

公开数据是累计安装 8,938 次,近一周安装 380 次,下载 3,131 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

moltcare-open 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
moltcare-open

换毛护理开放 · 本页

8,938—只读MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
moltcare-open
description
Install and configure the MoltCare Agent Framework - a four-layer configuration system (SOUL/AGENTS/USER/MEMORY) with three-layer trigger architecture (Exact + Semantic + Agent Evaluation) and PUA problem-solving framework. Use when the user wants to set up or configure OpenClaw Agent with structured personality, intelligent memory triggers, proactive problem-solving, and multi-expert decision modes. Triggers on phrases like 'install moltcare', 'setup agent framework', 'configure openclaw personality', 'set up memory triggers', or when the user needs a complete Agent configuration system.

MoltCare-Open Skill

🦞 OpenClaw Skill - v3.2.0 | Auto-published via GitHub Actions

Install and configure the MoltCare Agent Framework for OpenClaw.

What is MoltCare?

MoltCare is a four-layer configuration framework that transforms OpenClaw Agent from passive execution to proactive problem-solving:

┌─────────────────────────────────────────┐
│  SOUL.md        ← Agent 灵魂(原则、人格) │
├─────────────────────────────────────────┤
│  AGENTS.md      ← 操作手册(流程、工具)   │
├─────────────────────────────────────────┤
│  USER.md        ← 用户画像(偏好、约束)   │
├─────────────────────────────────────────┤
│  MEMORY.md      ← 长期记忆(核心信息)     │
└─────────────────────────────────────────┘

Core Features

1. Three-Layer Trigger Architecture (AGENTS.md v3.2)

LayerTriggerSignalPriority
Layer 1Exact triggers+2🔴 Highest
Layer 2Semantic triggers+1🟡 Medium
Layer 3Agent self-evaluationAuto🟢 Lowest

Layer 1 - Exact Triggers:

  • 多专家讨论: → Multi-expert mode [🧠]
  • 这很重要 → High priority memory [⭐]
  • 记住这个 → Learning debt [💾]
  • 我偏好 → User preference [👤]

Layer 2 - Semantic Triggers:

  • "关键是..." / "核心在于..." → Key info [⭐]
  • "别忘了..." / "要记住..." → Learning debt [💾]
  • "我喜欢..." / "我讨厌..." → Preference [👤]
  • "还不行" / "太慢了" → PUA activation [🔥]

Layer 3 - Agent Evaluation: After task completion, self-evaluate 7 questions and auto-record if ≥2 criteria met.

2. PUA Problem-Solving Framework

Three Iron Laws:

  1. Exhaust all options - Never say "cannot solve" until all tried
  2. Act first, ask later - Use tools before asking user
  3. Take ownership - End-to-end delivery

Pressure Escalation (L1-L4):

  • L1: "Try again" / "Another approach"
  • L2: "Why still not working" / 2 failures
  • L3: "You can't do it" / 3+ failures + 7-item checklist
  • L4: "Cannot solve" / 5+ failures →拼命模式

3. Multi-Expert Decision System

Automatically activate for:

  • Architecture design
  • Security/risk assessment
  • Complex trade-offs

Experts: 🔍 Researcher → 🧠 Architect → 💻 Engineer → 👑 Captain

4. Task Layering & Cost Optimization

Intelligent task execution with minimal token consumption:

LayerTask TypeExecutionToken Cost
L0Data collection, polling, formattingPure scriptZero
L1Query, display, status checksPure scriptZero
L2Anomaly detection, threshold checksScript + conditional triggerOn-demand
L3Analysis, decision-making, summarizationAI invocationNormal

Principle: Push computation to scripts; reserve AI for judgment.

Benefits:

  • 90%+ reduction in token consumption for routine tasks
  • Faster response times (no model latency)
  • Predictable operational costs
  • Scalable automation

5. Daily Token Optimization Audit

Automated daily review of tasks and workflows to identify optimization opportunities:

What it checks:

Check ItemPurpose
Repetitive AI tasksIdentify tasks that could be scripted
High-frequency queriesFind patterns for caching/pre-computation
Threshold-based decisionsDetect rules that could be automated
Data processing workflowsSpot opportunities for batch/aggregate processing

Daily Checklist:

□ Review yesterday's token usage patterns
□ Identify tasks with >3 similar executions
□ Check for threshold-based decisions using AI
□ Look for data formatting/processing done by AI
□ Find opportunities for incremental updates

Optimization Report Template:

## [Date] Token Optimization Report

### Findings
| Task | Current | Suggested | Savings |
|------|---------|-----------|---------|
| [Name] | AI every call | Script + cache | ~X% |

### Action Items
- [ ] [Task]: Convert to L0/L1/L2
- [ ] [Task]: Add caching layer
- [ ] [Task]: Implement incremental updates

Auto-trigger: Daily at configured time or manual via "检查token优化"

Installation

Step 1: Copy Templates (⚠️ Important: Copy to ROOT, not subfolders)

OpenClaw automatically loads these files from workspace root at session start:

CORE (required):

~/.openclaw/workspace/
├── AGENTS.md      ← Operation manual (auto-loaded)
├── SOUL.md        ← Agent principles (auto-loaded)
├── USER.md        ← User profile (auto-loaded)
└── MEMORY.md      ← Long-term memory (auto-loaded)

OPTIONAL (loaded if exists):

~/.openclaw/workspace/
├── IDENTITY.md    ← Agent identity (auto-loaded)
├── TOOLS.md       ← Environment tools (auto-loaded)
└── HEARTBEAT.md   ← Health check system (auto-loaded)

MEMORY templates (read on-demand):

~/.openclaw/workspace/memory/
├── learning-debt.md      (read via `read` tool)
├── constraints.md        (read via `read` tool)
├── preferences.md        (read via `read` tool)
└── token-audit-template.md  (read via `read` tool)

❌ WRONG - Do NOT do this:

# Wrong - creates subfolders
mkdir -p ~/.openclaw/workspace/core
mkdir -p ~/.openclaw/workspace/assets
cp assets/* ~/.openclaw/workspace/core/  # ❌ WRONG

✅ CORRECT (or use install.sh):

# Core templates → ROOT (auto-loaded by OpenClaw)
cp assets/AGENTS.md ~/.openclaw/workspace/
cp assets/SOUL.md ~/.openclaw/workspace/
cp assets/USER.md ~/.openclaw/workspace/
cp assets/MEMORY.md ~/.openclaw/workspace/

# Optional templates → ROOT (auto-loaded if exists)
cp assets/IDENTITY.md ~/.openclaw/workspace/
cp assets/TOOLS.md ~/.openclaw/workspace/
cp assets/HEARTBEAT.md ~/.openclaw/workspace/

# Memory templates → memory/ (read on-demand)
mkdir -p ~/.openclaw/workspace/memory
cp assets/learning-debt.md ~/.openclaw/workspace/memory/
cp assets/constraints.md ~/.openclaw/workspace/memory/
cp assets/preferences.md ~/.openclaw/workspace/memory/
cp assets/token-audit-template.md ~/.openclaw/workspace/memory/

# Note: BEST_PRACTICES.md stays in skill/assets/ (reference only, not auto-loaded)

Step 2: Configure User Profile

Edit ~/.openclaw/workspace/USER.md and fill in:

  • Your name/role
  • Communication preferences
  • Technical level
  • Constraints and boundaries

Step 3: Initialize Memory System

Create today's memory file:

mkdir -p ~/.openclaw/workspace/memory
echo "# $(date +%Y-%m-%d) Memory Flush" > ~/.openclaw/workspace/memory/$(date +%Y-%m-%d).md

Step 4: Configure Weekly Token Audit (Auto-configured)

Token optimization audit is automatically configured during installation:

Default Schedule: Every Monday at 03:00 (cron)

0 3 * * 1 cd ~/.openclaw/workspace && echo '检查token优化' >> ~/.openclaw/workspace/.audit-trigger

Trigger methods:

  1. Automatic - Runs every Monday 03:00 via cron
  2. Manual - Say "检查token优化" anytime
  3. Custom period - Say "检查本周token优化" or "检查本月token优化"

To change schedule, edit crontab:

crontab -e
# Change: 0 3 * * 1 (Monday 03:00)
# To daily: 0 3 * * * (daily 03:00)
# To disable: Comment out or remove the line

File Reference

CORE Configuration (Auto-loaded by OpenClaw)

Must be in ~/.openclaw/workspace/ root.

FilePurposeKey ContentRequired
AGENTS.mdOperation manual3-layer triggers, multi-expert, PUA levels✅ Required
SOUL.mdAgent soul & principles7 principles, PUA framework, safety rules✅ Required
USER.mdUser profilePreferences, constraints, communication style✅ Required
MEMORY.mdLong-term memoryHigh-signal info (Signal 8-10)✅ Required

OPTIONAL Configuration (Auto-loaded if exists)

Placed in ~/.openclaw/workspace/ root. Loaded only if file exists.

FilePurposeKey Content
IDENTITY.mdAgent identityDisplay name, emoji, role definition
TOOLS.mdEnvironment toolsLocal tool versions, API keys, commands
HEARTBEAT.mdHealth check systemQuick status checks
TOKEN_AUDIT.mdWeekly audit configToken optimization schedule, thresholds
CONFIG_CHECKLIST.mdPost-install verificationHow to use all md files correctly

MEMORY Templates (Read on-demand)

Placed in ~/.openclaw/workspace/memory/. Read via read tool when needed.

FilePurpose
learning-debt.mdTopics to learn (Signal 6+)
constraints.mdAbsolute boundaries
preferences.mdPreference change log
token-audit-template.mdDaily token optimization review template

Reference Documentation (Not auto-loaded)

Stay in skill/assets/. Read manually when needed.

FilePurpose
BEST_PRACTICES.mdEfficiency guide - Task layering, token optimization
README.mdThis documentation

Quick Start

After installation, test the framework:

  1. Test Layer 1 trigger:
   用户: "这很重要,我偏好简洁的回答"
   Agent: [⭐] 已记录核心偏好: 简洁回答
  1. Test Layer 2 trigger:
   用户: "关键是配置要正确,别忘了备份"
   Agent: [⭐] 记录关键信息: 配置要正确
          [💾] 添加到学习债务: 别忘了备份
  1. Test Multi-Expert mode:
   用户: "多专家讨论: 如何设计一个高并发系统"
   Agent: [🧠 多专家模式]
          🔍 研究员: ...
          🧠 架构师: ...
          💻 工程师: ...
          👑 队长: ...

Updating

To update the framework while preserving your configurations:

  1. Backup your USER.md and MEMORY.md
  2. Reinstall the skill
  3. Merge your custom configurations back

Resources

All templates are in assets/ directory:

  • Core templates: SOUL.md, AGENTS.md, USER.md, MEMORY.md, HEARTBEAT.md
  • Memory templates: learning-debt.md, constraints.md, preferences.md

Version

v3.2 - Task Layering & Cost Optimization

平台分布

OpenClaw

81.83%
按下载量换算2,562

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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