configuring-vision

The user wants to connect an LLM or vision provider.

What this skill does for you

The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. Use this to configure provider-neutral visual understanding without tying Watch Skill to one agent or model vendor.

Quoted from the skill description in the pinned source

Who made it

Publisheroxbshw

Repositorywatch-skill

Installs306as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the configuring-vision skill from oxbshw/watch-skill.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: f1317c8fe64744a606c31867b05fbbe3144268c6. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: f1317c8fe64744a606c31867b05fbbe3144268c6. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: f1317c8fe64744a606c31867b05fbbe3144268c6. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/oxbshw/watch-skill
Pinned skill file: View source at revision
Revision: f1317c8fe64744a606c31867b05fbbe3144268c6
Package hash: sha256:dd197d4f874435d15e8d6f7577ce38c44d74eafa37f5280d18fd929b38884c4c
Licence: MIT