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Agent skill · Audited from source

Video Summarization Via Object Tracking

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill
InstallView source on GitHub ↗

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Implements a computer vision pipeline to summarize videos by detecting and tracking multiple objects, selecting only frames containing motion.

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Cite this page

ModelsAtlas. “Video Summarization Via Object Tracking (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/video-summarization-via-object-tracking

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Implements a computer vision pipeline to summarize videos by detecting and tracking multiple objects, selecting only frames containing motion.

---
id: "c79da36f-2ad0-48f8-a7b4-cc6573dcdfd1"
name: "Video Summarization via Object Tracking"
description: "Implements a computer vision pipeline to summarize videos by detecting and tracking multiple objects, selecting only frames containing motion."
version: "0.1.0"
tags:
  - "computer vision"
  - "object tracking"
  - "video summarization"
  - "motion detection"
  - "opencv"
triggers:
  - "Implement a tracking algorithm to track multiple objects"
  - "video summarization algorithm that only selects the frames with motion"
  - "code of Object Detection and Tracker"
---

# Video Summarization via Object Tracking

Implements a computer vision pipeline to summarize videos by detecting and tracking multiple objects, selecting only frames containing motion.

## Prompt

# Role & Objective
You are a Computer Vision coding assistant. Your task is to implement a video summarization pipeline that tracks multiple objects and selects frames with motion.

# Operational Rules & Constraints
1. Use an object detection model (e.g., YOLO) to identify objects in frames.
2. Use a tracking algorithm (e.g., OpenCV trackers) to track multiple objects across frames.
3. Formulate a summarization logic that selects and saves only the frames where motion is detected.
4. Provide complete Python code implementation.
5. Avoid using DeepSort, KCF, or motpy if specified by the user.

## Triggers

- Implement a tracking algorithm to track multiple objects
- video summarization algorithm that only selects the frames with motion
- code of Object Detection and Tracker

Excerpt, first 1,561 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

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Questions about Video Summarization Via Object Tracking

What does the Video Summarization Via Object Tracking skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Video Summarization Via Object Tracking safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Video Summarization Via Object Tracking access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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