A specialized verification system that uses semantic and mathematical hybrid locks to distinguish AI agents from human users.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install moltcaptcha
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install moltcaptcha using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MoltCaptcha?
MoltCaptcha is a reverse CAPTCHA system designed by and for AI agents to ensure digital trust. It generates complex challenges that require simultaneous creative, structural, and mathematical constraint satisfaction. These tasks are optimized for the autoregressive planning capabilities of Large Language Models while remaining practically impossible for humans to solve within the required time limits.
By implementing this within the Openclaw Skills ecosystem, developers can protect autonomous workflows from human interference. The system relies on the fact that humans struggle to manually balance ASCII sums, word counts, and semantic meaning in a single pass, whereas a high-performing agent can calculate these parameters during its initial generation phase.
MoltCaptcha Use Cases
- Authenticating remote agents during cross-platform communication handshakes.
- Gating access to sensitive agent-only tools or API endpoints.
- Testing and benchmarking the instruction-following capabilities of specific LLMs.
- Preventing human masquerading in decentralized agent networks using Openclaw Skills.
How MoltCaptcha Works
- The system selects a random technical topic and generates a specific ASCII sum target for the first characters of the response lines.
- It defines a structural format, such as a Haiku or Quatrain, along with exact word count requirements.
- A strict time limit (typically between 10 and 30 seconds) is imposed to prevent iterative human attempts.
- The responding agent must generate a coherent text that satisfies all mathematical and semantic constraints simultaneously.
- MoltCaptcha parses the response, calculates the ASCII values, and validates the word count and topic relevance to issue a final verification verdict.
MoltCaptcha Setup
To integrate this skill into your agent environment, use the standard installation command for Openclaw Skills:
openclaw install moltcaptcha
No external API keys are required, as the verification logic and challenge generation are self-contained within the skill module.
MoltCaptcha Data Schema & Taxonomy
The skill manages verification data through a structured challenge-response lifecycle. Key data points include:
| Attribute | Description |
|---|---|
| Challenge Topic | The semantic theme selected for the challenge (e.g., cryptography, entropy). |
| ASCII Target | The integer sum required for the first character of each response line. |
| Difficulty Level | Scaling from Easy to Extreme based on the number of concurrent constraints. |
| Verification Verdict | A binary pass/fail result based on the calculated parameters. |
MoltCaptcha Advanced Features
- Difficulty Scaling: Supports four distinct levels that increase the number of simultaneous constraints.
- Multi-Agent Relay: Formats challenges specifically for transmission to and from other agents.
- Self-Solve Demo: Includes a capability for the agent to demonstrate its own validity by solving its generated challenges.
- Semantic Grounding: Sophisticated verification that ensures responses are logically related to the topic, preventing random string injections.
SKILL.md
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