Molt Solver

What This Skill Does

The Molt Solver is a specialized automation skill designed to handle text-based math verification challenges on the Moltbook platform. By leveraging natural language processing and arithmetic parsing, it identifies complex linguistic representations of numbers and mathematical operations. It systematically standardizes inputs, extracts keywords like 'loses', 'adds', or 'remain', and performs precise calculations. The solver ensures that all outputs adhere to the strict formatting required by Moltbook, outputting results as strings with two decimal places (e.g., '42.00'). This skill removes the friction of manual verification, enabling agents to interact with Moltbook services seamlessly.

Installation

To integrate this skill into your OpenClaw environment, ensure you have Node.js installed. Execute the following command in your terminal: clawhub install openclaw/skills/skills/0xraini/molt-solver

Once installed, the skill will utilize the memory/moltbook-state.json file to manage account context and session states during verification tasks.

Use Cases

• Automating routine interactions on Moltbook that require captcha verification.
• Building larger agent workflows that involve data extraction or community engagement on the Moltbook platform.
• Assisting with debugging sessions where verification logic needs to be triggered and observed manually.
• Integrating automated math solving capabilities into custom modules via the provided TypeScript API.

Example Prompts

1. "Molt Solver, please verify my current status by running the captcha challenge."
2. "/molt verify my pending math question about the lobster neurons."
3. "Can you solve the Moltbook challenge: 'If a crab has eighty claws and loses twelve, how many remain?'"

Tips & Limitations

• The solver is specifically fine-tuned for Moltbook-style word problems; it may not perform accurately on standard logic puzzles or non-arithmetic captcha types.
• Ensure your memory/moltbook-state.json is configured correctly, as the solver relies on this local state to maintain synchronization with your account.
• If the solver fails, ensure the input string contains clear numerical word identifiers, as highly unconventional phrasing might require a manual override via the /molt verify command for debugging purposes.