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Install in OpenClaw
/install photo-capture
Description
Capture a fresh webcam image on macOS, Windows, or Linux. Prefer direct camera capture via ffmpeg so the workflow does not depend on screen-recording, access...
Usage Guidance
This skill appears to do exactly what it says: capture a local webcam frame using ffmpeg or (on macOS fallback) by automating a camera app and taking a screenshot. Before installing or running it: ensure you trust the skill source (it will invoke local camera hardware and may trigger OS permission prompts), have ffmpeg installed and on PATH, and be aware the macOS fallback requires Accessibility/Screen Recording/Automation permissions. If you want extra safety, review the included scripts yourself or run the skill in a sandbox/VM; disable autonomous invocation if you do not want the agent to call it without your explicit request.
Capability Assessment
Purpose & Capability
Name/description match the actual code and runtime instructions: the scripts invoke ffmpeg (or macOS UI automation) to capture camera frames. No unrelated binaries, environment variables, or cloud credentials are requested.
Instruction Scope
SKILL.md directs the agent to run the included scripts from the skill directory and save images to tmp/; it also documents the macOS screenshot fallback which requires Accessibility/Screen Recording/Automation permissions. The instructions do not ask for unrelated files, credentials, or network exfiltration. Note: running the skill will normally trigger OS camera permission prompts for the terminal/Python process.
Install Mechanism
No install spec — instruction-only with bundled scripts. This is low-risk as no external archives are downloaded or installed by the skill itself. The only external dependency is ffmpeg, which the scripts expect to be on PATH.
Credentials
The skill requires no environment variables, credentials, or config paths. Access needs (camera device files like /dev/video* on Linux or OS permission dialogs) are proportional to a webcam-capture utility.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform persistence. It does not modify other skills or system-wide agent settings. Autonomous invocation is allowed by default (platform normal), but that is not combined with other concerning privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install photo-capture - After installation, invoke the skill by name or use
/photo-capture - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated documentation to use `<skill-dir>` placeholder in command paths instead of absolute examples.
- Improved instructions for better portability across install locations.
- No code changes or new features—documentation only.
v1.0.0
- Initial release of photo-capture skill.
- Capture fresh webcam photos on macOS, Windows, or Linux using direct ffmpeg access.
- No dependency on screen-recording, accessibility, or UI automation permissions.
- Saves captured images to the workspace `tmp/` folder and replies with the image path.
- Provides fallback to macOS app-window screenshot only if direct capture fails.
Metadata
Frequently Asked Questions
What is Photo Capture Skill?
Capture a fresh webcam image on macOS, Windows, or Linux. Prefer direct camera capture via ffmpeg so the workflow does not depend on screen-recording, access... It is an AI Agent Skill for Claude Code / OpenClaw, with 115 downloads so far.
How do I install Photo Capture Skill?
Run "/install photo-capture" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Photo Capture Skill free?
Yes, Photo Capture Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Photo Capture Skill support?
Photo Capture Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Photo Capture Skill?
It is built and maintained by Laurc2004 (@laurc2004); the current version is v1.0.1.
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