Token导航 LogoToken导航TokenDH.com
研究检索只读clawhub未标认证来源可访问clear审计通过

metaclawmetaclaw 搜索

Agent Skill

metaclaw 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。

总安装

5,598

周安装

238

GitHub Stars

1

下载量

1,961
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:metaclaw(metaclaw 搜索)
来源仓库:https://github.com/donmeusi/metaclaw
安装命令:
openclaw skills install metaclaw
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 metaclaw

简介

metaclaw 集成内存管理、混合检索与技能进化评估,提供通用插件支持。

  • 它适合在 OpenClaw 中需要高级信息处理与插件集成时使用。
  • 通过 openclaw skills install metaclaw 安装,需确认权限与维护状态。
  • 使用前建议核实是否会触发网络请求、内存操作或外部评估,避免性能问题。
  • 可结合原始 README 了解检索算法与评估标准。

SKILL.md

name
MetaClaw
description
Generischer Skill für Memory-Management, Hybrid Retrieval und Skill Evolution mit PluginEval Integration

MetaClaw Skill - Memory Management & Skill Evolution

Use when: Memory-Suche mit Hybrid Retrieval (LanceDB + FTS), automatische Memory-Extraktion, PluginEval Quality Checks, oder Skill Evolution. Dieser Skill bündelt die besten MetaClaw-Konzepte für generische Memory-Systeme.

Overview

MetaClaw ist ein generischer Skill für fortgeschrittene Memory-Management-Lösungen mit:

  • Hybrid Retrieval - Kombiniert semantische Suche (LanceDB) mit FTS/Keyword-Suche
  • Memory Extraction - Automatische Extraktion aus Sessions in preferences.md, project-state.md
  • Session Counter - Tracking für konsolidierte Memory-Konsolidation (Trigger: N Sessions)
  • PluginEval Integration - Auto-Fix für Quality Badge ≥ Gold (≥85)
  • Auto-Dream Consolidation - Automatische Memory-Konsolidierung basierend auf Session-Zähler

Installation

# VEnv für Dependencies erstellen (wird automatisch verwendet)
cd ~/.openclaw/workspace/skills/metaclaw
python3 -m venv .venv-metaclaw
source .venv-metaclaw/bin/activate
pip install lancedb sentence-transformers

Usage

CLI Interface

# Hybrid Retrieval (default: 0.6 semantic + 0.4 keyword)
python3 scripts/memory-vector-wrapper.py "query" --mode hybrid

# Semantic Search
python3 scripts/memory-vector-wrapper.py "query" --mode semantic

# Keyword Search (FTS)
python3 scripts/memory-vector-wrapper.py "query" --mode keyword

# Memory Extraction
python3 scripts/memory-extract.py [--date YYYY-MM-DD] [--dry-run]

# Session Counter
./scripts/session-counter.sh --increment
./scripts/session-counter.sh --check  # exit 0 = consolidation ready

# PluginEval Quality Check
python3 scripts/skill-eval.py --layer1 skills/metaclaw/

# Auto-Fix (mit --allow-write zum Schreiben)
python3 scripts/skill-eval.py --auto-fix --allow-write skills/metaclaw/

Output

Memory Vector Search (JSON)

{
  "id": "memory/2026-04-01.md",
  "path": "/Users/donmeusi/.openclaw/workspace/memory/2026-04-01.md",
  "snippet": "Extrahierter Inhalt...",
  "date": "2026-04-01",
  "type": "daily",
  "tags": [],
  "score": 0.0,
  "relevance": 0.0,
  "method": "hybrid",
  "combined_score": 0.0
}

Memory Extraction (JSON)

{
  "extracted": "2026-04-01",
  "type": "project_state",
  "confidence": 0.85,
  "items": [
    {
      "category": "Project",
      "content": "MetaClaw Integration Phase 1",
      "type": "update",
      "source": "session"
    }
  ],
  "preferences": [],
  "project_state": []
}

Session Counter

$ ./scripts/session-counter.sh --check
# exit 0: consolidation ready
# exit 1: not ready yet

Config

memory/config.yaml

# Hybrid Retrieval Settings
retrieval:
  default_mode: "hybrid"  # semantic, keyword, fts, hybrid
  semantic_weight: 0.6    # 0.6 semantic + 0.4 keyword/fts
  default_limit: 5

# Consolidation Settings
consolidation:
  interval_sessions: 10   # alle N Sessions
  min_interval_hours: 6   # min 6h zwischen Consolidations
  max_memory_lines: 200   # Maximum Zeilen in MEMORY.md

# Logging
logging:
  level: "INFO"  # DEBUG, INFO, WARNING, ERROR
  file: "~/.openclaw/workspace/memory/.log"

Auto-Dream Consolidation

Trigger-Logik

  • Session Counter: Zählt Sessions (default: 10)
  • Mindestintervall: 6 Stunden zwischen Consolidations
  • Auto-Detect: In memory-digest-enhanced.sh

Cron-Job (Optional)

# crontab -e
# Tägliche Auto-Dream Consolidation (03:00)
0 3 * * * "$HOME/.openclaw/workspace/scripts/memory-digest-enhanced.sh" --auto-dream

PluginEval Integration

Quality Check (Layer 1)

# Read-Only Check
python3 scripts/skill-eval.py --layer1 skills/metaclaw/

# Anti-Pattern Detection
python3 scripts/skill-eval.py --anti-patterns skills/metaclaw/

# Auto-Fix Preview (Read-Only)
python3 scripts/skill-eval.py --auto-fix skills/metaclaw/

# Auto-Fix (mit Schreiben)
python3 scripts/skill-eval.py --auto-fix --allow-write skills/metaclaw/

Quality Targets

  • Gold Badge: ≥85 Punkte (Ziel)
  • Silver Badge: ≥70 Punkte
  • Bronze Badge: ≥60 Punkte

Implementation Details

Hybrid Retrieval Algorithm

# Combined Score = 0.6 * Semantic + 0.4 * FTS
combined_score = semantic_weight * semantic_relevance + (1 - semantic_weight) * fts_score

Mode Selection

ModeAlgorithmusUse Case
semanticVector-SucheSemantische Ähnlichkeit
keywordFile-Inhalts-SucheExakte Begriffe
ftsLanceDB FTSSchnelle Keyword-Suche
hybridKombiniertStandard (empfohlen)

Session Counter

scripts/session-counter.sh

Trackt Sessions für konsolidierte Consolidation:

# Increment on Heartbeat
scripts/session-counter.sh --increment

# Get current count
scripts/session-counter.sh --get

# Reset after Consolidation
scripts/session-counter.sh --reset

# Check if consolidation should run
scripts/session-counter.sh --check  # exit 0 = yes, exit 1 = no

Memory Digest

scripts/memory-digest-enhanced.sh

Konsolidiert Memory-Files mit Session-basierter Logik:

# Normal run (check if consolidation needed)
scripts/memory-digest-enhanced.sh

# Force run (override check)
scripts/memory-digest-enhanced.sh --force

# Dry run (show what would be done)
scripts/memory-digest-enhanced.sh --dry-run

# Auto-dream mode (with consolidation)
scripts/memory-digest-enhanced.sh --auto-dream

Integration in OpenClaw

Heartbeat Integration

Füge folgenden Task zur Heartbeat-Logik hinzu:

# scripts/heartbeat.sh
"$HOME/.openclaw/workspace/scripts/session-counter.sh" --increment

Cron Integration

# crontab -e
# Auto-Dream tägliche Consolidation (Optional)
0 3 * * * "$HOME/.openclaw/workspace/scripts/memory-digest-enhanced.sh" --auto-dream

Troubleshooting

Problem: "Dependencies nicht verfügbar"

Lösung:

source .venv-metaclaw/bin/activate
pip install lancedb sentence-transformers numpy

Problem: "Tabelle nicht gefunden"

Lösung:

python3 skills/metaclaw/scripts/memory_vector_init.py

Problem: Session-Counter füllt sich nicht auf

Lösung:

./scripts/session-counter.sh --status
# Prüfe ob --increment in Heartbeat aufgerufen wird

Changelog

Version 1.0.0 (2026-04-01)

Added:

  • Generischer MetaClaw Skill für ClawHub
  • Hybrid Retrieval (semantic + FTS)
  • Memory Extraction Pipeline
  • PluginEval Integration
  • Session Counter für konsolidierte Consolidation
  • Memory Digest mit Session-basierter Logik

Changed:

  • Default Mode: hybrid (statt semantic)
  • Score-Kombination: 0.6 * semantic + 0.4 * keyword

Removed:

  • Keine Breaking Changes (Backwards compatible)

Referenzen

  • ~/.openclaw/workspace/skills/memory-vector/ - Original Hybrid Retrieval
  • ~/.openclaw/workspace/scripts/memory-extract.py - Memory Extraction
  • ~/.openclaw/workspace/scripts/skill-eval.py - PluginEval
  • ~/.openclaw/workspace/notes/projects/metaclaw-integration.md - Integration Plan

*Last updated: 2026-04-01* *Category: automation, memory* *Tags: #hybrid-retrieval #memory #skill-evolution #plugineval*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

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

按任务关键词查找相关 Skills

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

98.36%
按下载量换算1,929

安全审计

VirusTotal

通过

ClawScan

通过

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。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

继续浏览同类 Skills