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Install in OpenClaw
/install web-llm-chat
Description
Chat with web-based LLMs through the Chrome Relay extension. Supports Qwen (chat.qwen.ai) and Kimi (kimi.com) via scripts; more sites may be added. Use for w...
Usage Guidance
Key things to consider before installing/running this skill:
- It will read your local OpenClaw configuration file (openclaw.json) to obtain gateway.auth.token and derive a relay token. This token is sensitive; the skill metadata does not declare this file/credential requirement — treat that as a privacy gap.
- The script connects to localhost (127.0.0.1) ports used by your OpenClaw gateway/relay and to the browser tab via CDP; it does not contact remote servers according to the provided code, but you should still review the source (scripts/qwen_chat.js) yourself before running.
- If you trust the skill: run it on a machine/account that contains only the necessary credentials, inspect outgoing network traffic (to ensure nothing is exfiltrating), and install npm dependencies from official registries.
- If you do not want the skill to access your gateway token, do not run it, or modify the script to accept the token via an explicit user-supplied environment variable or prompt and update the skill metadata to declare that requirement.
If you want higher confidence, ask the publisher to: (1) declare required config paths/credentials in the registry metadata, (2) add an option to pass the gateway token explicitly (instead of reading from disk), and (3) document exactly what files are read and why.
Capability Analysis
Type: OpenClaw Skill
Name: web-llm-chat
Version: 1.0.0
The skill bundle is a legitimate tool for automating interactions with the Qwen web-based LLM (chat.qwen.ai) using a Chrome Relay extension. The primary script, `scripts/qwen_chat.js`, uses WebSockets and Chrome DevTools Protocol (CDP) to simulate user input and extract responses from the browser. While it reads the local `openclaw.json` file, it does so only to derive an HMAC-SHA256 token required to authenticate with the local OpenClaw gateway (127.0.0.1). There is no evidence of data exfiltration, unauthorized remote access, or malicious instructions in the SKILL.md file.
Capability Assessment
Purpose & Capability
The skill's name/description (web-based LLM chat via Chrome Relay) matches the included code and docs: it connects to a local OpenClaw gateway/relay and a Qwen chat tab. However the registry metadata claims no required config paths or credentials, while the code expects an OpenClaw config file (openclaw.json) containing gateway.auth.token. That undeclared requirement is an inconsistency.
Instruction Scope
SKILL.md tells the agent to run the included Node script which connects to a local gateway and Relay, reads page content, and extracts responses. The runtime instructions and the script only target localhost (gateway/relay and local CDP via WebSocket) and the browser tab; there are no external network endpoints in the docs. The script does, however, instruct/require reading local OpenClaw config files to derive a relay token — this file access is outside what the metadata advertised and should be explicitly declared.
Install Mechanism
No install spec is provided (instruction-only with code files). The package.json only depends on the widely used 'ws' npm package; SKILL.md tells users to 'npm install ws'. There are no remote downloads or extraction of arbitrary archives in the skill bundle.
Credentials
The manifest lists no required environment variables or config paths, but the script reads openclaw.json from multiple filesystem locations (including E:\.openclaw\... and ~/.openclaw/...), extracts gateway.auth.token, and derives an HMAC relay token. Accessing that local token is sensitive and should have been declared as a required config/credential. The script also optionally reads an env flag for debug output (QWEN_CHAT_DEBUG_EXTRACT). Requiring access to a gateway auth token is proportionate for the stated operation, but the omission from declared requirements is a privacy/visibility concern.
Persistence & Privilege
The skill is not forced-always, does not request elevated platform-wide privileges, and does not modify other skills or system-wide config. It runs as a user-level Node script and communicates with local gateway/extension endpoints only.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install web-llm-chat - After installation, invoke the skill by name or use
/web-llm-chat - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
**v1.0.2 changelog**
- Expanded skill to support both Qwen (chat.qwen.ai) and Kimi (kimi.com) web LLMs via dedicated scripts.
- Updated triggers and description to reflect multi-site capability.
- Documentation improved for clarity, including separate command samples and status outputs for Qwen and Kimi.
- Instructions now clarify how to extend for other web LLMs using script templates.
- No code or file changes detected in this release; documentation only.
v1.0.1
**Kimi web LLM support added.**
- Added `scripts/kimi_chat.js` to enable chat automation with Kimi (kimi.moonshot.cn) via Chrome Relay.
- Skill wording, triggers, and documentation updated to reflect support for both Qwen and Kimi web LLM chat tabs.
- Command reference and usage examples expanded to cover Kimi, including dedicated `send`, `status`, `read`, and new `diag` command for DOM diagnostics.
- Improved documentation on completion detection, output formats, and research workflow for multiple web LLMs.
v1.0.0
web-llm-chat 1.0.0 – Initial Release
- Enables chat with web-based LLMs via the Chrome Relay extension.
- Supports Qwen AI (chat.qwen.ai) for web search, RAG, and deep research workflows.
- Offers plain text, Markdown, and HTML response formats.
- Includes multi-turn research mode for agent-orchestrated investigations.
- Requires a running Chrome Relay extension and Node.js setup.
- Provides command-line utilities for status checking, messaging, and research operations.
Metadata
Frequently Asked Questions
What is web-llm-chat?
Chat with web-based LLMs through the Chrome Relay extension. Supports Qwen (chat.qwen.ai) and Kimi (kimi.com) via scripts; more sites may be added. Use for w... It is an AI Agent Skill for Claude Code / OpenClaw, with 266 downloads so far.
How do I install web-llm-chat?
Run "/install web-llm-chat" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is web-llm-chat free?
Yes, web-llm-chat is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does web-llm-chat support?
web-llm-chat is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created web-llm-chat?
It is built and maintained by GoDiao (@godiao); the current version is v1.0.0.
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