Skill profile

opencv

Open Source Computer Vision Library (OpenCV) for real-time image processing.

What this skill does for you

Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.

Quoted from the skill description in the pinned source

Who made it

Publishertondevrel

Repositoryscientific-agent-skills

Installs291as 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 opencv skill from tondevrel/scientific-agent-skills.

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: 6e89d9e8c84188050bd50c420e48b639be484bb9. 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: 6e89d9e8c84188050bd50c420e48b639be484bb9. Raw findings: . 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: 6e89d9e8c84188050bd50c420e48b639be484bb9. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/tondevrel/scientific-agent-skills
Pinned skill file: View source at revision
Revision: 6e89d9e8c84188050bd50c420e48b639be484bb9
Package hash: sha256:5b8ff15100542e18584c6c53a5690ce93eb7f5a6345484204e4dad0c2e41ef19
Licence: MIT