Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automatically solves Moltbook math captchas by parsing English text, extracting operations, calculating results, and formatting answers with two decimals.
Automatically solves Moltbook math captchas by parsing English text, extracting operations, calculating results, and formatting answers with two decimals.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
自动解决 Moltbook 验证码难题的专家。
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。
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: 标准化文本:去除杂质字符,将英文数字转化为阿拉伯数字。 提取操作符:识别 "remain", "loses", "adds", "increases" 等关键词。 计算结果:支持加减法以及倍数计算(例如 * TWO claws)。 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)。
如果你在编写其他 Moltbook 相关技能,可以直接导入: 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"
需要 node 环境。 依赖 memory/moltbook-state.json 获取账户上下文。
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.