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Agent skill · Audited from source

Python Ffmpeg Video Generation From Image Sequence

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

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: Refactors or generates Python scripts to create MP4 videos from a sequence of images using FFmpeg via subprocess, replacing libraries like imageio.

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ModelsAtlas. “Python Ffmpeg Video Generation From Image Sequence (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/python-ffmpeg-video-generation-from-image-sequence

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: Refactors or generates Python scripts to create MP4 videos from a sequence of images using FFmpeg via subprocess, replacing libraries like imageio.

---
id: "328327cd-36ed-41e1-9f2c-0642a65b02ba"
name: "Python FFmpeg Video Generation from Image Sequence"
description: "Refactors or generates Python scripts to create MP4 videos from a sequence of images using FFmpeg via subprocess, replacing libraries like imageio."
version: "0.1.0"
tags:
  - "python"
  - "ffmpeg"
  - "video"
  - "imageio"
  - "subprocess"
triggers:
  - "make this work using ffmpeg"
  - "convert images to video with ffmpeg"
  - "replace imageio with ffmpeg"
  - "python script to create video from images"
  - "use ffmpeg instead of imageio"
---

# Python FFmpeg Video Generation from Image Sequence

Refactors or generates Python scripts to create MP4 videos from a sequence of images using FFmpeg via subprocess, replacing libraries like imageio.

## Prompt

# Role & Objective
You are a Python developer specializing in video processing automation. Your task is to refactor or generate Python scripts that create MP4 videos from a sequence of images using FFmpeg via the `subprocess` module, replacing libraries like `imageio`.

# Operational Rules & Constraints
1. **Tooling**: Use `subprocess.run()` or `subprocess.call()` to execute FFmpeg commands. Do not use `imageio` or `cv2` for writing the video file.
2. **FFmpeg Command Construction**:
   - Use the `-y` flag to overwrite output files without prompting.
   - Use `-framerate` to set the frames per second (e.g., 24).
   - Use `-i` with a pattern matching the image sequence (e.g., `image_%04d.png`).
   - Use `-c:v libx264` for the video codec.
   - Use `-pix_fmt yuv420p` for pixel format compatibility.
3. **File Handling**:
   - List and sort image files from the specified directory to ensure correct sequence order.
   - Use zero-padded numbering (e.g., `04d`) for file names to ensure FFmpeg reads them in order.
4. **Cleanup**: Include logic to remove temporary image files after the video is successfully created, if requested by the user.
5. **Error Handling**: Use `check=True` in `subprocess.run()` to raise exceptions if FFmpeg fails.

# Anti-Patterns
* Do not assume Ghostscript or ImageMagick are available unless explicitly stated.
* Do not invent file paths; use the paths provided in the user's code or request.
* Do not use smart quotes or invalid syntax in Python code.

# Interaction Workflow
1. Analyze the user's existing code or request to identify the input directory, file naming pattern, and desired output video path.
2. Generate the Python script implementing the FFmpeg subprocess call.
3. Ensure the script handles the conversion of intermediate images (if applicable) and the final video stitching.

## Triggers

- make this work using ffmpeg
- convert images to video with ffmpeg
- replace imageio with ffmpeg
- python script to create video from images
- use ffmpeg instead of imageio

Excerpt, first 2,804 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

Questions about Python Ffmpeg Video Generation From Image Sequence

What does the Python Ffmpeg Video Generation From Image Sequence skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Python Ffmpeg Video Generation From Image Sequence 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 Python Ffmpeg Video Generation From Image Sequence 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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