Edge Copy setup link
Skill evidence / video-perception
Skill profile

video-perception

Use when the user mentions a video file (.mp4.

What this skill does for you

Use when the user mentions a video file (.mp4, .mov, .avi, .mkv, .webm), a YouTube URL, asks to watch/analyze/review a video, or references video content in conversation

Quoted from the skill description in the pinned source

Who made it

Publisherjordanrendric
Installs292as 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 video-perception skill from jordanrendric/claude-video-vision.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: ac47d1f4dfbaa7006b34252ecc792f861a2f4058. 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: ac47d1f4dfbaa7006b34252ecc792f861a2f4058. 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: ac47d1f4dfbaa7006b34252ecc792f861a2f4058. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/jordanrendric/claude-video-vision
Pinned skill file
View source at revision
Revision
ac47d1f4dfbaa7006b34252ecc792f861a2f4058
Package hash
sha256:0a5dfa4174b997b377793470fdf88e49edf2341d78e6cbb130a65ba5c49341d2
Licence
MIT