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Install in OpenClaw
/install webchat-image-support
Description
Enables agents to detect and analyze images sent via WebChat or other channels using vision-capable models or fallback media processing.
Usage Guidance
This is an instruction-only skill that tells you how to enable image support by configuring your OpenClaw gateway and models.json. Before installing/using it, verify your OpenClaw version meets the requirement (2026.3.29+), confirm you have at least one vision-capable model configured, and ensure you (or your admin) are comfortable editing ~/.openclaw/agents/main/agent/models.json. The skill does not request credentials or install code, but it assumes the platform's media pipeline and configured models are trusted. If you need automated changes to config files, prefer doing that manually or through your standard provisioning process rather than granting any third party write access.
Capability Analysis
Type: OpenClaw Skill
Name: webchat-image-support
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) describing how to enable image support for the OpenClaw agent. There is no executable code, and the instructions provided are consistent with the stated purpose of enhancing vision capabilities without any signs of prompt injection, data exfiltration, or malicious intent.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the SKILL.md explains detecting images, selecting vision-capable models, and falling back to the media pipeline. No unrelated credentials, binaries, or capabilities are requested.
Instruction Scope
The instructions reference a specific local config path (~/.openclaw/agents/main/agent/models.json) and tell operators how to configure vision-capable models. They do not instruct the agent to read or exfiltrate arbitrary files or credentials, but they do assume the operator or agent has access to and may edit that config.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is downloaded or written to disk by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths beyond recommending edits to the models.json config required for vision models; this is proportionate to an image-support feature.
Persistence & Privilege
The skill is not always-enabled and does not request persistent system-wide modifications. It contains no code that would run autonomously outside normal agent invocation.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install webchat-image-support - After installation, invoke the skill by name or use
/webchat-image-support - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of universal image understanding for OpenClaw agents.
- Automatically detects and processes images from any supported chat channel.
- Compatible with any vision-enabled model (Claude, MiniMax, OpenAI, Gemini), with fallback to OpenClaw’s media pipeline if unavailable.
- Supports analysis of multiple images per message.
- No special commands needed—just send images for instant interpretation.
Metadata
Frequently Asked Questions
What is WebChat Image Support?
Enables agents to detect and analyze images sent via WebChat or other channels using vision-capable models or fallback media processing. It is an AI Agent Skill for Claude Code / OpenClaw, with 155 downloads so far.
How do I install WebChat Image Support?
Run "/install webchat-image-support" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is WebChat Image Support free?
Yes, WebChat Image Support is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does WebChat Image Support support?
WebChat Image Support is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created WebChat Image Support?
It is built and maintained by styoha (@styoha); the current version is v1.0.0.
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