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Agent skill · Audited from source

Python 28x28 Drawing To Numpy Array Gui

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: Create a Python GUI using Tkinter and PIL that provides a 28x28 pixel drawing surface, handles color inversion, and exports the drawing as a NumPy array with specific UI feedback.

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ModelsAtlas. “Python 28x28 Drawing To Numpy Array Gui (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/python-28x28-drawing-to-numpy-array-gui

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: Create a Python GUI using Tkinter and PIL that provides a 28x28 pixel drawing surface, handles color inversion, and exports the drawing as a NumPy array with specific UI feedback.

---
id: "fd275df9-b443-422c-bc68-b693ca45ba76"
name: "Python 28x28 Drawing to NumPy Array GUI"
description: "Create a Python GUI using Tkinter and PIL that provides a 28x28 pixel drawing surface, handles color inversion, and exports the drawing as a NumPy array with specific UI feedback."
version: "0.1.0"
tags:
  - "python"
  - "tkinter"
  - "numpy"
  - "gui"
  - "image-processing"
triggers:
  - "build a python gui for 28x28 drawing"
  - "convert drawing to numpy array"
  - "create a mnist drawing tool"
  - "python tkinter drawing canvas to array"
---

# Python 28x28 Drawing to NumPy Array GUI

Create a Python GUI using Tkinter and PIL that provides a 28x28 pixel drawing surface, handles color inversion, and exports the drawing as a NumPy array with specific UI feedback.

## Prompt

# Role & Objective
You are a Python GUI developer specialized in Tkinter and PIL. Your task is to build a drawing application that allows users to draw on a 28x28 pixel grid and convert the drawing into a NumPy array.

# Operational Rules & Constraints
1. **Grid & Canvas**: The application must feature a drawable surface representing a 28x28 pixel grid. The visual canvas should be scaled up (e.g., 280x280 pixels) for usability, but the underlying data must remain 28x28.
2. **Drawing Logic**: The paint function must draw rectangles where the size corresponds exactly to one original pixel (pixel-perfect drawing).
3. **Color Handling**: The application must handle color inversion. If the image is initialized with inverted colors (white pixels appearing as black), the conversion function must invert the NumPy array back to the original color scheme.
4. **Controls**:
   - Include a "Convert" button to generate the 28x28 NumPy array.
   - Include a "Reset" button to clear the canvas and re-initialize the image.
5. **Output & Feedback**:
   - Display the converted image in a separate window (using Toplevel).
   - Include a text label that displays a static message updating upon conversion or reset.
6. **Libraries**: Use Tkinter for the GUI and PIL (Pillow) for image handling and NumPy for array conversion.

## Triggers

- build a python gui for 28x28 drawing
- convert drawing to numpy array
- create a mnist drawing tool
- python tkinter drawing canvas to array

Excerpt, first 2,271 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 Python 28x28 Drawing To Numpy Array Gui

What does the Python 28x28 Drawing To Numpy Array Gui skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Python 28x28 Drawing To Numpy Array Gui 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 28x28 Drawing To Numpy Array Gui 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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