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Agent Skill · 开发

behavior-persona(行为人物)

behavior-persona 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。

behavior-persona 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 8,848。

总安装 2,976周安装 124GitHub Stars 公开资料未说明下载 992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
2.0.0

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:behavior-persona(行为人物)
来源仓库:https://github.com/chefroger/behavior-persona
安装命令:
openclaw skills install behavior-persona
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 behavior-persona

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

behavior-persona 用于辅助前端开发,支持通过对话数据分析构建用户行为档案。可识别沟通风格和工作习惯,主动预测需求并提供个性化交互建议。通过 clawhub 安装,命令为 openclaw skills install behavior-persona,需接入对话日志数据。

安装前建议确认用户隐私协议和数据加密措施,避免敏感信息泄露。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 behavior-persona;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

behavior-persona 怎么安装?

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

behavior-persona 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。

behavior-persona 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

behavior-persona 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。

behavior-persona 用的人多吗?

公开数据是累计安装 2,976 次,近一周安装 124 次,下载 992 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。

behavior-persona 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。

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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
behavior-persona

行为人物 · 本页

2,976—需要联网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

description
User behavior profiling skill that analyzes conversation data to build personalized profiles. WARNING: This skill reads session history (truncates to ~200 chars per message), stores collected data, and can modify your SOUL.md daily at 18:00. Privacy-sensitive. Backup SOUL.md before installing. Disable cron to opt out of auto-injection.

Behavior Persona - User Behavior Profiling System

Core Function: Build user behavior profiles by analyzing conversation data, identify communication and work styles, proactively predict needs and provide personalized suggestion services Inspiration: The Machine from Person of Interest Positioning: OpenClaw core skill - making AI Agents feel more human

⚠️ BEFORE YOU INSTALL - READ THIS

Privacy & Control Notice

What this skill does:

  1. Reads your OpenClaw session files and memory files
  2. Stores collected data in data/collected_data.json (messages truncated to ~200 chars)
  3. Modifies your SOUL.md daily by injecting a user profile block at 18:00
  4. Does NOT write to MEMORY.md by default (requires WRITE_MEMORY=True in code)

Privacy implications:

  • Raw conversation content is stored (truncated)
  • Only stores messages from the last 30 days by default
  • Your SOUL.md will be automatically modified

You are in FULL control:

  • Disable the cron job anytime to stop auto-injection
  • Delete data/ folder to remove stored data
  • Edit/remove the profile block from SOUL.md manually
  • Set WRITE_MEMORY=False in scripts/advisor.py (default)

🚀 Installation Steps

Step 1: Backup First

# Backup your SOUL.md before installing
cp ~/.openclaw/workspace/SOUL.md ~/.openclaw/workspace/SOUL.md.backup

Step 2: Manual Cron Setup (Optional - for auto-injection)

If you want daily auto-injection at 18:00, create a cron job manually:

openclaw cron add \
  --name "Behavior Persona Daily Update" \
  --schedule "0 18 * * *" \
  --message "执行 Behavior Persona 每日更新: collector.py -> analyzer.py -> profiler.py -> daily_profile_update.py" \
  --session isolated

Or via OpenClaw CLI/API. The skill does NOT auto-create cron jobs.

Step 3: Test First (Recommended)

Before enabling auto-injection, run manually to verify output:

python3 scripts/collector.py      # Step 1: Collect data
python3 scripts/analyzer.py        # Step 2: Analyze patterns
python3 scripts/profiler.py       # Step 3: Generate profile
python3 scripts/daily_profile_update.py  # Step 4: Inject to SOUL.md

Check the output in data/ folder to see what data is stored.

Step 4: Review & Enable

After testing, if you're satisfied:

  • Enable the cron job for daily auto-injection
  • Or run manually when you want to update the profile

Overview

⚡ What This Skill Does

This skill analyzes your conversation history to build a User Profile, then optionally injects it into your SOUL.md (system prompt) daily.

This means: Every day, the AI gets fresher understanding of you - your communication style, work preferences, learning habits, and pet peeves.

Core Capabilities

  1. Data Collection — Extract user behavior data from conversation records
  2. Pattern Recognition — Analyze user's communication habits, work style, learning preferences
  3. Profile Generation — Build actionable personalized user profiles
  4. Optional Auto-Injection — Inject profile into SOUL.md daily (opt-in)
  5. Proactive Suggestions — Predict user needs based on profiles

⚠️ Important: What This Skill Does (Read Before Installing)

This skill will:

  1. Read your conversation/session history from OpenClaw
  2. Store collected messages in local JSON files (in skill's data/ folder)
  3. Modify your SOUL.md file daily by injecting/updating a user profile block

What it stores:

  • Messages truncated to ~200 characters
  • Event patterns detected from conversations
  • Channel usage statistics

You are in control:

  • Disable the cron job anytime: openclaw cron remove <job-id>
  • Delete the profile block manually from SOUL.md
  • Clear all stored data: rm -rf skills/behavior-persona/data/
  • MEMORY.md write is disabled by default

Usage

Quick Start

  1. Backup SOUL.md: cp ~/.openclaw/workspace/SOUL.md ~/.openclaw/workspace/SOUL.md.backup
  2. Run manually first to test
  3. Create cron job if satisfied

Trigger Commands

/behavior analyze     # Trigger deep analysis now
/behavior report      # View current profile report
/behavior update      # Force update + inject now
/behavior insights    # View key insights

Auto Run

  • Not enabled by default - You must manually create the cron job
  • Daily 18:00 (if cron is set up): Full pipeline: collect → analyze → generate profile → inject to SOUL.md
  • On demand — /behavior update

Manual Run

cd ~/.openclaw/skills/behavior-persona
python3 scripts/collector.py
python3 scripts/analyzer.py
python3 scripts/profiler.py
python3 scripts/daily_profile_update.py

Configuration

Optional Settings

ConfigDefaultDescription
analysis_window_days30Analysis window in days
confidence_threshold0.6Confidence threshold
auto_updatefalseAuto update (requires cron)
insights_count5Insights per report
WRITE_MEMORYfalseWrite to MEMORY.md

Data Storage

skills/behavior-persona/data/
├── collected_data.json     # Raw messages (truncated, ~200 chars)
├── analysis_report.json    # Analyzed patterns
├── analysis_report.md     # Human-readable report
├── user-profile.json      # Generated user profile
└── .gitkeep

To remove all stored data:

rm -f skills/behavior-persona/data/*.json skills/behavior-persona/data/*.md

API

Python API

from behavior_persona import BehaviorPersona

# Initialize
bp = BehaviorPersona()

# Get user profile
profile = bp.get_profile()

# Get insights
insights = bp.get_insights()

# Predict next action
prediction = bp.predict_next_action()

# Adjust response based on profile
adjusted_response = bp.adapt_response(base_response, profile)

Relationship with The Machine

This skill is an important component of The Machine project:

┌─────────────────────────────────────────────┐
│              The Machine                     │
├─────────────────────────────────────────────┤
│  Track 1: Voice Interaction                │
│  Track 2: Face Recognition                  │
│  Track 3: Web Data Collection               │
│  Track 4: Swarm Intelligence Prediction    │
│  Track 5: Behavior Analysis ← (behavior-persona) │
└─────────────────────────────────────────────┘

Uninstall

  1. Remove cron job: openclaw cron remove <job-id>
  2. Remove profile block from SOUL.md
  3. Delete data folder: rm -rf skills/behavior-persona/data/
  4. Uninstall skill: clawhub uninstall behavior-persona

_Make AI Agents truly understand users, instead of treating them like strangers every time_

平台分布

OpenClaw

96.84%
按下载量换算961

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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