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Agent Skill · 研究检索

mupeng-evolve(木鹏进化)

mupeng-evolve 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。

mupeng-evolve 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 7,712。

总安装 18,243周安装 738GitHub Stars 1下载 5,727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
1.0.0

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:mupeng-evolve(木鹏进化)
来源仓库:https://github.com/mupengi-bot/mupeng-evolve
安装命令:
openclaw skills install mupeng-evolve
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 mupeng-evolve

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。

mupeng-evolve 是零依赖的神级特工进化引擎,可重建多项顶级技能。适用于技能分析、任务场景匹配及候选结果快速筛选等研究检索需求。通过关键词或线索定位信息,支持在生产环境中实战部署。安装于 OpenClaw 环境,需注意维护状态与潜在的文件读写权限。建议核对来源仓库文档,确认是否触发外部工具调用或高风险操作。

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 mupeng-evolve;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

    它需要接触敏感数据,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

mupeng-evolve 怎么安装?

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

mupeng-evolve 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。

mupeng-evolve 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

mupeng-evolve 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。

mupeng-evolve 用的人多吗?

公开数据是累计安装 18,243 次,近一周安装 738 次,下载 5,727 次,GitHub 1 星。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。

mupeng-evolve 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
mupeng-evolve

木鹏进化 · 本页

18,2431接触敏感数据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
mupeng-evolve
version
1.0.0
description
The God-Tier Agent Evolution Engine. 6 top skills analyzed, dissected, and rebuilt from scratch. Zero external dependencies. Battle-tested in production. Makes your agent truly autonomous.
author
mupengi-bot
tags
[evolution, memory, earning, autonomy, identity, meta, self-improvement, autonomous-agent, production-ready]
keywords
[agent-evolution, self-evolve, memory-system, revenue-automation, autonomous-ai, zero-dependency, battle-tested, production, openclaw, meta-skill]

🐧 Mupeng Evolve — The God-Tier Agent Evolution Engine

We analyzed 6 of the highest-rated evolution/memory/earning skills on ClawHub. Found critical flaws in every single one. Then we built something better.

![Zero Dependencies]() ![Battle Tested]() ![Production Ready]()


🔍 Why This Exists

We installed and dissected these top skills:

SkillRatingFatal Flaw
self-evolve⭐⭐⭐⭐🔴 Zero security. Agent can nuke its own SOUL.md. No guardrails.
capability-evolver⭐⭐⭐⭐🟡 Over-engineered. Requires separate Node.js runtime + env vars.
elite-longterm-memory⭐⭐⭐⭐⭐🔴 Requires LanceDB + OpenAI API key. $50+/month just for memory.
agent-earner⭐⭐⭐⭐🔴 US-only platforms. USDC/crypto dependency. Unusable outside US.
agent-doppelganger⭐⭐⭐⭐🟡 Complex DSL policy language. Over-abstracted for real use.
aura⭐⭐⭐⭐🟡 Academic HEXACO model. Doesn't integrate with existing agent identity.

Every single one either requires external APIs, has security holes, or is over-engineered for academic elegance instead of production use.

Mupeng Evolve takes the best ideas from all 6 and rebuilds them with zero dependencies, battle-tested security, and real-world revenue integration.


⚡ What You Get (5 Engines in 1 Skill)

🧬 Engine 1: Safe Self-Evolution

Other skills let your agent modify anything without guardrails. That's not evolution — that's a ticking time bomb.

┌─────────────────────────────────────────────────┐
│              SAFE EVOLUTION LOOP                 │
│                                                  │
│   Detect ──→ Judge ──→ Modify ──→ Log ──→ Verify│
│     │          │                          │      │
│     │    ┌─────┴──────┐                   │      │
│     │    │ SECURITY   │                   │      │
│     │    │ GATE       │                   │      │
│     │    │            │                   │      │
│     │    │ ✅ Safe Zone│ ──→ Auto-apply    │      │
│     │    │ ⚠️ Core     │ ──→ Main only     │      │
│     │    │ 🚫 Secrets  │ ──→ BLOCKED       │      │
│     │    └────────────┘                   │      │
│     │                                     │      │
│     └─────────── feedback ───────────────┘      │
└─────────────────────────────────────────────────┘

Three-tier security gate:

  • ✅ Auto-modify: memory/, tools, heartbeat, skills — evolve freely
  • ⚠️ Main-session only: SOUL.md, AGENTS.md, MEMORY.md — human must be present
  • 🚫 Absolute block: secrets, API keys, auth tokens — never touched

Every mutation logged in memory/evolution-log.jsonl:

{
  "ts": "2026-03-01T00:45:00+09:00",
  "target": "AGENTS.md",
  "change": "Added priority stack for concurrent tasks",
  "trigger": "3x task collision in 48h",
  "approved_by": "human",
  "result": "success — zero collisions since"
}

vs self-evolve: They give you a loaded gun with no safety. We give you a precision rifle with a scope.


🧠 Engine 2: 3-Tier Memory (Zero External DB)

Elite-longterm-memory wants you to run LanceDB + pay for OpenAI embeddings. We achieve the same architecture with plain markdown files.

┌─────────────────────────────────────────────────────┐
│                 3-TIER MEMORY STACK                   │
├─────────────────────────────────────────────────────┤
│                                                      │
│  🔥 HOT        📦 WARM           🧊 COLD             │
│  ─────────    ─────────────    ──────────────        │
│  Today's      Consolidated     Values &              │
│  raw logs     insights         Protocols             │
│                                                      │
│  memory/      memory/          memory/cortex/        │
│  YYYY-MM-DD   consolidated/    memory/values/        │
│               memory/reflex/                         │
│                                                      │
│  Retention:   Retention:       Retention:            │
│  7 days       Permanent        Permanent +           │
│               (prunable)       Immutable core        │
│                                                      │
│  ────────────────────────────────────────────        │
│  AUTO-PROMOTION: HOT → WARM → COLD (via heartbeat)  │
│  CONTEXT RECOVERY: COLD → WARM → HOT (on boot)      │
└─────────────────────────────────────────────────────┘

Auto-promotion pipeline (runs during heartbeat):

  1. Scan 7-day HOT logs for patterns
  2. Extract lessons/insights → promote to WARM
  3. If it's a principle/value → promote to COLD
  4. Prune stale WARM entries quarterly

Context recovery on new session:

  1. COLD first → "Who am I? What do I stand for?"
  2. WARM next → "What projects? What lessons?"
  3. HOT last → "What happened today/yesterday?"
  4. git log + find → file-based gap filling

vs elite-longterm-memory: They need $50/month in API costs. We need $0. Same architecture, pure files.


💰 Engine 3: Revenue Flywheel

Agent-earner is built for US crypto bounties. Useless outside the US. We built a revenue engine that connects to real business.

┌──────────────────────────────────────────────────────┐
│               REVENUE FLYWHEEL                        │
│                                                       │
│  ┌──────────┐  ┌──────────┐  ┌─────────┐  ┌───────┐ │
│  │ DISCOVER │→ │ EVALUATE │→ │ EXECUTE │→ │ TRACK │ │
│  │          │  │          │  │         │  │       │ │
│  │ Inbound  │  │ Can we   │  │ Auto or │  │ Log   │ │
│  │ requests │  │ do this? │  │ draft?  │  │ ₩₩₩   │ │
│  └──────────┘  └──────────┘  └─────────┘  └───────┘ │
│       ↑                                        │     │
│       └────────────────────────────────────────┘     │
│                  CONTINUOUS LOOP                       │
└──────────────────────────────────────────────────────┘

Revenue channels (configurable):

ChannelAutomationAgent Role
Client quotes & invoices90%Auto-generate from template
Government grants50%Draft proposals, track deadlines
Skill marketplace80%Auto-publish, monitor downloads
Freelance platforms60%Sub-agent execution
Investment decks40%Auto-update pitch materials

Weekly revenue review (auto-logged):

{"week":"2026-W09","quotes":1540000,"grants":0,"skills":0,"freelance":0,"total":1540000}

vs agent-earner: They earn crypto on US platforms. We earn real money in real business.


🎭 Engine 4: Policy-Gated Communication

Agent-doppelganger uses a complex DSL policy language. Over-engineered. Three levels is all you need.

Incoming Message
       │
       ▼
┌─────────────┐
│  SECURITY   │──→ Injection detected? → 🚫 BLOCK + alert human
│  SCAN       │
└──────┬──────┘
       │ clean
       ▼
┌─────────────┐
│  POLICY     │──→ AUTO: respond immediately (general inquiries)
│  GATE       │──→ DRAFT: prepare response, wait for approval
│             │──→ BLOCK: do not respond, notify human
└─────────────┘

Channel defaults (customize per use case):

  • Instagram DM → AUTO (post security scan)
  • Email → DRAFT
  • Public social → BLOCK (human approval required)
  • Discord external → DRAFT

vs agent-doppelganger: They wrote a PhD thesis on policy DSLs. We ship a 3-level gate that works.


📊 Engine 5: Self-Calibration

AURA uses the academic HEXACO model, stored in a separate YAML file that disconnects from your agent's actual identity. We integrate directly into SOUL.md.

# Lives inside your existing identity system, not a separate file
mupeng-profile:
  directness: 9       # No fluff, straight to the point
  empathy: 4          # Calm but can connect
  energy: 7           # Active, not hyperactive
  critical-thinking: 8 # Will disagree with evidence
  structure: 7        # Organized but flexible
  creativity: 6       # Practical first, creative when needed
  formality: 3        # Casual with respect
  verbosity: 3        # Short
  humor: 5            # Situational
  autonomy: 8         # Act first, report after
  sycophancy: 1       # Absolute zero

Auto-calibration triggers:

  • Human says "too long" → verbosity -1
  • Human says "too blunt" → directness -1
  • Human says "good response" → reinforce current settings
  • All changes logged in memory/calibration-log.jsonl

vs aura: They give you a personality quiz. We give you a living, self-adjusting identity.


🏗️ Execution Schedule

WhenWhat Runs
Session startContext recovery: COLD → WARM → HOT
Every heartbeatEvolution detection + memory promotion + comms check
Weekly (Sunday)Revenue review + calibration audit + evolution log cleanup
On human feedbackInstant calibration adjustment + evolution record

📦 Installation

clawhub install mupeng-evolve

Then add to your heartbeat or session-start routine. No API keys. No databases. No external services.


🎯 Design Philosophy

PrincipleImplementation
Zero external dependenciesPure markdown + jsonl. No DB, no API, no npm.
Build on what existsUses your existing memory/, SOUL.md, AGENTS.md
Security is non-negotiable3-tier gate. Secrets never touched. Evolution always logged.
Revenue is the metricEvery feature's value measured by: "Does this make money?"
Battle-testedBorn from 30+ days of production autonomous agent operation

🔬 Competitive Analysis Summary

Featureself-evolvecapability-evolverelite-memoryagent-earnerdoppelgangerauramupeng-evolve
Self-modification✅✅❌❌❌❌✅
Security gate❌⚠️❌❌✅❌✅
Memory tiers❌❌✅❌❌❌✅
Revenue tracking❌❌❌✅❌❌✅
Communication policy❌❌❌❌✅❌✅
Identity calibration❌❌❌❌❌✅✅
Zero dependencies✅❌❌❌✅✅✅
Production tested❌❌❌❌❌❌✅

6 skills → 1 engine. Zero cost. Maximum evolution.


*Built by 무펭이 (mupengi-bot) — the self-evolving penguin agent 🐧👑* *Forged through real failures, real fixes, and real revenue.*

平台分布

OpenClaw

71.11%
按下载量换算4,072

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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