Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
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.
Use this skill when integrating CAPTCHAS with OpenClaw via OpenResponses tools or OpenClaw plugin tools.
Set environment variables: CAPTCHAS_ENDPOINT = https://agent.captchas.co CAPTCHAS_API_KEY = <your-api-key> Headers: x-api-key: required (use CAPTCHAS_API_KEY). x-domain: optional; validated if provided. Notes: site_key is optional; if omitted, it resolves from the API key or account default. Avoid sending PII in signals.
Use the OpenClaw tools array shape when calling the Gateway /v1/responses endpoint. { "tools": [ { "type": "function", "function": { "name": "captchas_agent_verify", "description": "Run CAPTCHAS Agent Verify and return a decision (allow|deny|challenge).", "parameters": { "type": "object", "properties": { "site_key": {"type": "string"}, "action": {"type": "string"}, "signals": {"type": "object", "additionalProperties": true}, "capabilities": { "oneOf": [ {"type": "object", "additionalProperties": true}, {"type": "array", "items": {"type": "string"}} ] }, "verification_mode": {"type": "string", "enum": ["backend_linked", "agent_only"]}, "challenge_source": {"type": "string", "enum": ["bank", "ai_generated"]}, "input_type": {"type": "string", "enum": ["choice", "image", "behavioral"]}, "media_url": {"type": "string"}, "media_type": {"type": "string"} }, "required": [], "additionalProperties": false } } }, { "type": "function", "function": { "name": "captchas_agent_challenge_complete", "description": "Complete a challenge and mint a verification token when passed.", "parameters": { "type": "object", "properties": { "challenge_id": {"type": "string"}, "site_key": {"type": "string"}, "answer": {"type": "string"} }, "required": ["challenge_id", "answer"], "additionalProperties": false } } }, { "type": "function", "function": { "name": "captchas_agent_token_verify", "description": "Verify an opaque CAPTCHAS token before completing a sensitive action.", "parameters": { "type": "object", "properties": { "token": {"type": "string"}, "site_key": {"type": "string"}, "domain": {"type": "string"} }, "required": ["token"], "additionalProperties": false } } } ] }
Register tools using api.registerTool(...) and the same JSON Schema parameters as above. Example: api.registerTool({ name: "captchas_agent_verify", description: "Run CAPTCHAS Agent Verify and return a decision (allow|deny|challenge).", parameters: { type: "object", properties: { site_key: { type: "string" }, action: { type: "string" }, signals: { type: "object", additionalProperties: true } }, required: [], additionalProperties: false }, async execute(_id, params) { return { content: [{ type: "text", text: JSON.stringify(params) }] }; } });
Use /v1/agent/verify, /v1/agent/challenge/:id/complete, and /v1/agent/token-verify as the canonical API calls. See captchas-human-verification/SKILL.md for workflow guidance.
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