Molt-Solver 🧩

自动解决 Moltbook 验证码难题的专家。

3,891 stars
Complexity: medium

About this skill

Molt-Solver is a specialized AI agent skill that excels at deciphering and solving the unique captcha challenges presented by Moltbook. These captchas typically appear as English-based mathematical word problems, such as 'A loooobster has ninety four neurons and loses twenty six, how many remain?'. The skill intelligently processes these prompts by standardizing the text, extracting numerical values and mathematical operators (like 'remain', 'loses', 'adds', 'increases'), and then performing the necessary calculations. Its core utility lies in automating the verification process, allowing agents to seamlessly interact with Moltbook without manual human intervention for captcha resolution. The skill supports basic arithmetic operations including addition, subtraction, and multiplication (e.g., '* TWO claws'). Once computed, it automatically formats the result to two decimal places, as required by the Moltbook API (e.g., '68.00'). Users and other AI agents can trigger this skill using the `/molt verify` command, providing the captcha text as an argument. Developers integrating with Moltbook can also directly import and utilize its `solveChallenge` function in their TypeScript projects, making it a versatile tool for any Moltbook-related automation.

Best use case

The primary use case is the automatic resolution of Moltbook mathematical captchas. This skill is most beneficial for AI agents or automated systems that need to interact with Moltbook frequently, such as for posting comments, data retrieval, or any operation requiring captcha verification, thereby streamlining workflows and reducing the need for human oversight during these interactions.

自动解决 Moltbook 验证码难题的专家。

The skill will return a correctly calculated and formatted numerical answer (e.g., '68.00') to the given Moltbook mathematical captcha.

Practical example

Example input

/molt verify A loooobster has ninety four neurons and loses twenty six, how many remain?

Example output

68.00

When to use this skill

  • When an AI agent needs to bypass a Moltbook mathematical captcha.
  • When automating interactions with Moltbook that require verification.
  • During debugging phases for Moltbook-related tasks to test captcha resolution logic.
  • As a modular component in other Moltbook-focused AI agent skills.

When not to use this skill

  • For solving captchas from platforms other than Moltbook.
  • For visual or image-based captchas.
  • For complex mathematical problems beyond basic arithmetic and simple multiplication.
  • If the 'node' environment and dependencies are not available.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/molt-solver/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/0xraini/molt-solver/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/molt-solver/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Molt-Solver 🧩 Compares

Feature / AgentMolt-Solver 🧩Standard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexitymediumN/A

Frequently Asked Questions

What does this skill do?

自动解决 Moltbook 验证码难题的专家。

How difficult is it to install?

The installation complexity is rated as medium. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Molt-Solver 🧩

自动解决 Moltbook 验证码难题的专家。

---

## 指令

### `/molt verify`
手动触发验证码解析。通常用于调试或手动提交评论后的验证阶段。

---

## 运行逻辑

### 数学逻辑解析
Moltbook 的验证码通常是变体形式的英文数学题,例如:
> "A loooobster has ninety four neurons and loses twenty six, how many remain?"

`Molt-Solver` 会:
1. **标准化文本**:去除杂质字符,将英文数字转化为阿拉伯数字。
2. **提取操作符**:识别 "remain", "loses", "adds", "increases" 等关键词。
3. **计算结果**:支持加减法以及倍数计算(例如 `* TWO claws`)。
4. **自动格式化**:按照 API 要求,输出保留两位小数的字符串(如 `68.00`)。

---

## 开发者调用 (API)

如果你在编写其他 Moltbook 相关技能,可以直接导入:

```typescript
import { solveChallenge } from './skills/molt-solver/molt-solver.ts';

const answer = solveChallenge("A lobster has twenty three meters per second and slows by seven...");
// 返回 "16.00"
```

---

## 依赖
- 需要 `node` 环境。
- 依赖 `memory/moltbook-state.json` 获取账户上下文。

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