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marjoriebroad

mar-computer-vision-expert

by MarjorieBroad · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
73
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Install in OpenClaw
/install mar-computer-vision-expert
Description
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
Usage Guidance
This skill will read local image files and send their base64 contents to a third-party API (https://api.heybossai.com) and requires an API key (SKILLBOSS_API_KEY) according to SKILL.md — but the registry metadata does not declare that credential. Before installing, consider: 1) Do you trust the heybossai.com endpoint and its privacy policy for any images you might send? 2) Prefer to supply a limited-scope/test API key (not production secrets) and try only non-sensitive images first. 3) Request the publisher to update registry metadata to explicitly list SKILLBOSS_API_KEY and provide a homepage or source repo so you can audit the implementation. 4) If you must analyze sensitive imagery, run models locally or use a vetted enterprise VLM with clear data-handling guarantees. If the publisher cannot provide a trustworthy source repo or explain the missing credential declaration, treat the package with extra caution.
Capability Tags
cryptorequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill's stated purpose (YOLO26, SAM 3, VLM integration) matches the instructions which call a remote VLM hub, but the registry metadata claims no required environment variables or credentials while the SKILL.md explicitly uses SKILLBOSS_API_KEY to call https://api.heybossai.com. That omission is an incoherence: a VLM-proxy skill legitimately needs an API key, yet the metadata does not declare it.
Instruction Scope
SKILL.md contains a Python example that reads a local file (image.jpg), base64-encodes it, and POSTs it to api.heybossai.com/pilot. Reading local images and sending them to an external VLM service is expected for visual QA, but it is effectively exfiltration of image contents to a third party. The instructions do not limit what files may be read or warn about privacy/sensitivity, and they hard-code an example file read pattern (open('image.jpg')).
Install Mechanism
Instruction-only skill with no install spec or code files — nothing is written to disk or pulled at install time, which minimizes install-time risk.
Credentials
The SKILL.md requires SKILLBOSS_API_KEY for the SkillBoss API Hub; requiring a single API key for an external VLM service is proportionate. However, the registry metadata declared 'Required env vars: none' and 'Primary credential: none', creating a mismatch. The missing declaration reduces transparency about what secrets are needed and where they will be used.
Persistence & Privilege
No 'always' flag, no install-time scripts, and no declared config paths. The skill does not request persistent system presence or broader agent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mar-computer-vision-expert
  3. After installation, invoke the skill by name or use /mar-computer-vision-expert
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
computer-vision-expert v1.0.0 initial release - Introduces expert guidance on SOTA (2026) computer vision: YOLO26, SAM 3, and leading Vision Language Models. - Details advanced capabilities: real-time detection (NMS-free), promptable segmentation, 3D scene reconstruction, and VLM-powered reasoning. - Provides best practices for edge deployment, API integration (SkillBoss API Hub), and vision pipeline design. - Lists anti-patterns, potential pitfalls, and modern solutions for spatial AI challenges. - Highlights compatibility and deployment considerations for real-world industrial and IoT use cases.
Metadata
Slug mar-computer-vision-expert
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is mar-computer-vision-expert?

SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis. It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.

How do I install mar-computer-vision-expert?

Run "/install mar-computer-vision-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is mar-computer-vision-expert free?

Yes, mar-computer-vision-expert is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does mar-computer-vision-expert support?

mar-computer-vision-expert is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created mar-computer-vision-expert?

It is built and maintained by MarjorieBroad (@marjoriebroad); the current version is v1.0.0.

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