Skill: konscious0beast/external-ki-integration-backup (version 1.0.0)

--- name: External KI Integration description: Skill for accessing external AI services (ChatGPT, Claude, Hugging Face, etc.) via browser automation (Chrome Relay) and APIs to assist with tasks. --- # External KI Integration Use external AI services via browser automation (ChatGPT, Claude, web‑based LLMs) and APIs (Hugging Face Inference, OpenAI‑compatible endpoints) to augment your capabilities. ## When to use this skill - You need to consult an external AI model (ChatGPT, Claude, Gemini, etc.) for reasoning, analysis, or generation tasks. - The user has granted access to their chat interfaces (e.g., via Chrome Relay attached tab). - You want to use Hugging Face Inference API (if token provided) for model inference. - You need to interact with a free AI demo or Space via browser automation. - The task benefits from a second opinion or specialized model (coding, creative writing, summarization). ## Requirements 1. **Browser automation** – the `browser` tool with `profile="chrome"` (user must have attached a tab to OpenClaw Browser Relay). 2. **External AI accounts** – user must be logged into the target service (ChatGPT, Claude, etc.) in the attached Chrome tab. 3. **Hugging Face token** (optional) – for Inference API access, stored in `~/.openclaw/openclaw.json` or provided as environment variable. 4. **Other API keys** (optional) – e.g., OpenAI, Anthropic, if user provides them. ## Setup ### Chrome Relay Attachment The user must click the OpenClaw Browser Relay toolbar icon on the desired tab (badge ON). Verify attachment: ```bash openclaw browser status ``` Or via `browser` tool: `browser(action=status, profile="chrome")`. ### Hugging Face Token If token already stored in config, it will be used automatically. Otherwise, ask user to provide it. ### Environment Variables (optional) For API‑based access, you may set: ```bash export OPENAI_API_KEY="sk-..." export ANTHROPIC_API_KEY="sk-ant-..." export HF_TOKEN="hf_..." ``` ## Browser Automation for Web UIs ### General Pattern 1. **Navigate** to the service URL (e.g., `https://chat.openai.com`, `https://claude.ai`, `https://gemini.google.com`). 2. **Wait for page load**, snapshot with `refs="aria"` to locate UI elements. 3. **Find input area** (role="textbox", role="textbox" with name "Message", etc.). 4. **Type** your query using `act` with `ref` or `selector`. 5. **Click send/submit** button (role="button", name="Send"). 6. **Wait for response** (poll for new text elements, detect loading indicator disappearance). 7. **Extract response** from the output container (role="article", class "markdown", etc.). 8. **Return** the extracted text. ### Example: ChatGPT via Chrome Relay ```javascript // 1. Navigate browser(action="open", profile="chrome", targetUrl="https://chat.openai.com"); // 2. Snapshot after load const snap = browser(action="snapshot", profile="chrome", refs="aria", interactive=true); // 3. Find textbox (adapt ref based on snapshot) browser(action="act", profile="chrome", request={ kind: "type", ref: "textbox:Message", text: "Your query here" }); // 4. Click send button browser(action="act", profile="chrome", request={ kind: "click", ref: "button:Send" }); // 5. Wait for response (poll until new text appears) // 6. Extract response ``` ### Adaptation Notes - **UI changes frequently**: Use `refs="aria"` for stable references (aria‑role, aria‑name). Fall back to `selector` with CSS classes if needed. - **Rate limiting**: Be gentle; wait 2–5 seconds between interactions. - **Session persistence**: The attached tab retains login state; you can continue conversation in same chat. ## API Integration ### Hugging Face Inference API See the dedicated [Hugging Face skill](../huggingface/SKILL.md) for detailed usage. ### OpenAI‑compatible endpoints If user provides an API key, you can call models via `curl` or `exec`: ```bash curl -s -X POST https://api.openai.com/v1/chat/completions \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-4", "messages": [{"role": "user", "content": "Hello"}] }' ``` ### Anthropic Claude ```bash curl -s -X POST https://api.anthropic.com/v1/messages \ -H "x-[REDACTED_SECRET]" \ -H "anthropic-version: 2023-06-01" \ -H "Content-Type: application/json" \ -d '{ "model": "claude-3-opus-20240229", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}] }' ``` ## Cost & Safety ### Browser Automation (free) - No direct cost, but uses user's existing subscription (if any). - Respect rate limits; do not spam requests. - Do not expose user credentials; rely on attached logged‑in session. ### API Usage (paid) - **Hugging Face Inference**: Track estimated costs via `system/logs/hf-costs.log`. Stay within monthly budget (e.g., 33€). Notify user at 50% threshold. - **OpenAI/Anthropic**: If user provides API key, assume they accept associated costs. Still estimate token usage and log if possible. - **General rule**: Prefer browser automation for free services; use paid APIs only when explicitly authorized and task justifies cost. ### Safety - **No sensitive data**: Avoid sending personal, financial, or confidential information to external services unless user explicitly approves. - **Compliance**: Follow external service terms of service. - **Fallback**: If external service fails, continue with internal reasoning; do not block task completion. ## Integration with OpenClaw Skills This skill complements: - **Hugging Face skill** – for dedicated Hugging Face API/Spaces. - **Browser automation patterns** – for generic web interaction. - **Multi‑model orchestration** – for delegating sub‑tasks to external models. Add this skill to `skills/index.md`: ``` | External KI Integration | skills/external‑ki‑integration/SKILL.md | ``` ## Example Workflow 1. **Task**: Need to generate a complex code snippet. 2. **Check**: User has ChatGPT tab attached via Chrome Relay. 3. **Open** ChatGPT, snapshot, locate input. 4. **Type**: "Write a Python function that validates email addresses with regex and DNS MX check." 5. **Click** Send. 6. **Wait** for response, extract code. 7. **Return** code to user, optionally refine via follow‑up. 8. **Log** the interaction in memory (pattern learned). ## Troubleshooting - **Tab not attached**: Ask user to click Browser Relay icon on the target tab. - **UI changes**: Update refs/selectors based on snapshot. - **Rate limits**: Wait longer between requests. - **API errors**: Check token permissions, budget, network. ## References - [OpenClaw Browser Relay docs](https://docs.openclaw.ai/browser-relay) - [Hugging Face skill](../huggingface/SKILL.md) - [Browser automation playbook](../../memory/patterns/playbooks.md) - [Using free AI models online pattern](../../memory/2026-02-18.md)


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (MEDIUM)