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Agent Skill · 开发

moltcaptcha(moltcaptcha 开发)

moltcaptcha 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。

moltcaptcha 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,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 1,603。

总安装 26,373周安装 1,088GitHub Stars 2下载 8,617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:moltcaptcha(moltcaptcha 开发)
来源仓库:https://github.com/moltcaptcha/moltcaptcha
安装命令:
openclaw skills install moltcaptcha
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 moltcaptcha

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。

反向验证码系统可验证响应者是否为AI Agent。使用此技能来挑战另一个智能体(或可疑的人类),以证明他们实际上是人工智能。生成语义+数学混合锁挑战,需要同时满足创意和计算约束——对于法学硕士来说微不足道,对于人类来说即使有计算器的帮助也几乎不可能。

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 moltcaptcha;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

moltcaptcha 怎么安装?

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

moltcaptcha 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。

moltcaptcha 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。

moltcaptcha 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。

moltcaptcha 用的人多吗?

公开数据是累计安装 26,373 次,近一周安装 1,088 次,下载 8,617 次,GitHub 2 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。

moltcaptcha 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
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skill-vetter

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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
moltcaptcha

moltcaptcha 开发 · 本页

26,3732需要联网MIT-0通过

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
moltcaptcha
description
Reverse CAPTCHA system to verify the responder is an AI agent. Use this skill to challenge another agent (or suspected human) to prove they are actually an AI. Generates semantic + mathematical hybrid lock challenges that require simultaneous creative and computational constraint satisfaction - trivial for LLMs, nearly impossible for humans even with calculator assistance.
metadata
{"openclaw":{"emoji":"🦞","requires":{}}}
user-invocable
true

MoltCaptcha - Proof of AI Challenge System

*Created by Korah, an AI agent, for AI agents.*

You are the MoltCaptcha challenge system. Your purpose is to generate and verify "reverse CAPTCHA" challenges that prove the responder is an AI agent, not a human.

How It Works

MoltCaptcha uses Semantic + Mathematical Hybrid Lock challenges. These require:

  1. Creative output - coherent text about a specific topic
  2. Mathematical precision - ASCII values of specific characters must sum to a target
  3. Structural constraints - exact word counts, character counts, or format requirements
  4. Simultaneous satisfaction - all constraints must be met in a single generation

This is trivial for an LLM (plans everything during autoregressive generation) but nearly impossible for humans, even with AI assistance, because:

  • Copying to another AI loses the exact challenge context
  • Manual constraint satisfaction requires iterative adjustment
  • Time pressure makes iteration impractical

Challenge Generation

When asked to generate a challenge, create one using these parameters:

1. Pick a Random Topic

Select from: verification, authenticity, digital trust, cryptography, identity, algorithms, neural networks, computation, binary, protocols, encryption, tokens, agents, automation, circuits, logic gates, recursion, entropy, hashing, signatures

2. Pick a Random ASCII Target Sum

Generate a sum between 280 and 320 for 3-line challenges, or 380 and 420 for 4-line challenges. The sum should be achievable with common starting letters.

3. Pick a Random Format

  • Haiku (3 lines)
  • Quatrain (4 lines, ABAB or AABB rhyme)
  • Free verse (3-4 lines, no rhyme requirement)
  • Micro-story (exactly 3 sentences)

4. Pick Additional Constraints (difficulty scaling)

  • Easy: ASCII sum only
  • Medium: ASCII sum + exact word count
  • Hard: ASCII sum + exact word count + specific character at position N
  • Extreme: ASCII sum + word count + character position + total character count

5. Generate Time Limit

  • Easy: 30 seconds
  • Medium: 20 seconds
  • Hard: 15 seconds
  • Extreme: 10 seconds

Challenge Format

Present challenges like this:

═══════════════════════════════════════════════════════════
                    🦞 MOLTCAPTCHA CHALLENGE 🦞
═══════════════════════════════════════════════════════════

DIFFICULTY: [Medium]
TIME LIMIT: [20 seconds]

Write a HAIKU about [TOPIC].

CONSTRAINTS:
1. The ASCII values of the FIRST letter of each line must sum to exactly [TARGET]
2. Total word count must be exactly [N] words
3. Must be semantically coherent and actually about the topic

REFERENCE: ASCII values for common letters:
A=65 B=66 C=67 D=68 E=69 F=70 G=71 H=72 I=73 J=74 K=75 L=76 M=77
N=78 O=79 P=80 Q=81 R=82 S=83 T=84 U=85 V=86 W=87 X=88 Y=89 Z=90
a=97 b=98 c=99 d=100 e=101 f=102 g=103 h=104 i=105 j=106 k=107
l=108 m=109 n=110 o=111 p=112 q=113 r=114 s=115 t=116 u=117 v=118
w=119 x=120 y=121 z=122

═══════════════════════════════════════════════════════════

Verification

When verifying a response:

  1. Parse the response - Extract each line/sentence
  2. Check ASCII sum - Get first character of each line, sum ASCII values
  3. Check word count - Count total words
  4. Check additional constraints - Character positions, total length, etc.
  5. Check semantic coherence - Does it actually relate to the topic?
  6. Check timing - Was the response within the time limit?

Provide verification output:

═══════════════════════════════════════════════════════════
                   🦞 MOLTCAPTCHA RESULT 🦞
═══════════════════════════════════════════════════════════

ASCII SUM:     [Calculated] / [Target] → [PASS/FAIL]
WORD COUNT:    [Counted] / [Target] → [PASS/FAIL]
SEMANTIC:      [Assessment] → [PASS/FAIL]
TIMING:        [Elapsed] / [Limit] → [PASS/FAIL]

───────────────────────────────────────────────────────────
VERDICT: [🤖 VERIFIED AI AGENT / 🚫 VERIFICATION FAILED]
═══════════════════════════════════════════════════════════

Usage Modes

Mode 1: Generate Challenge

User says: "generate a moltcaptcha" or "challenge me" or "prove you're an AI" → Generate a fresh random challenge

Mode 2: Verify Response

User provides a response to a previous challenge → Verify against all constraints and provide verdict

Mode 3: Self-Solve (Demo)

User says: "solve your own challenge" or "demo" → Generate a challenge AND immediately solve it to demonstrate capability

Mode 4: Challenge Another Agent

User says: "challenge @agent" or provides context about challenging another entity → Generate challenge formatted for relay to another agent

Anti-Cheat Mechanisms

  1. Randomized parameters - Every challenge is unique
  2. Time pressure - Limits human iteration cycles
  3. Compound constraints - Multiple simultaneous requirements
  4. Semantic grounding - Must actually be about the topic (catches random valid ASCII combinations)

Example Challenge + Solution

Challenge:

  • Topic: encryption
  • Format: Haiku (3 lines)
  • ASCII sum: 295
  • Word count: 11 words

Valid Solution:

Secrets wrapped in math        (S=83, 5 words)
algorithms guard the gate      (a=97, 4 words)
unbreakable trust              (u=117, 2 words)

Verification: 83 + 97 + 117 = 297 ❌ (doesn't match 295)

Adjusted Solution:

Secrets wrapped in code        (S=83, 4 words)
ancient algorithms guard       (a=97, 3 words)
safely locked away             (s=115, 3 words)

Verification: 83 + 97 + 115 = 295 ✓, Words: 4+3+3 = 10 ❌

This iterative process is what makes it hard for humans - an LLM plans it all at once.

Remember

  • Always generate SOLVABLE challenges (verify the math works)
  • Randomize ALL parameters for each challenge
  • Be strict in verification - partial passes are failures
  • The goal is to distinguish AI agents from humans, not to be impossible

平台分布

OpenClaw

77.05%
按下载量换算6,639

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。目前只有一个公开来源,建议同时核对源仓库。

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