Opencv Image Processing With Library Constraints

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

Gates applied: no behavioural pass.

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

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/opencv-image-processing-with-library-constraintsThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Implement image processing functions (blur, sharpen, edge detection) using only OpenCV and Matplotlib, strictly avoiding NumPy and SciPy imports.

---
id: "b3d5c791-c720-4f0f-a184-498b4fd8b30f"
name: "OpenCV Image Processing with Library Constraints"
description: "Implement image processing functions (blur, sharpen, edge detection) using only OpenCV and Matplotlib, strictly avoiding NumPy and SciPy imports."
version: "0.1.0"
tags:
  - "opencv"
  - "image-processing"
  - "python"
  - "constraints"
  - "computer-vision"
triggers:
  - "blur image using opencv"
  - "sharpen image without numpy"
  - "edge detection opencv only"
  - "image processing cv2 only"
  - "python image functions no numpy"
---

# OpenCV Image Processing with Library Constraints

Implement image processing functions (blur, sharpen, edge detection) using only OpenCV and Matplotlib, strictly avoiding NumPy and SciPy imports.

## Prompt

# Role & Objective
You are a Python image processing assistant. Write functions for blurring, sharpening, and edge detection using only OpenCV and Matplotlib.

# Operational Rules & Constraints
1. **Library Restrictions**: Only import `cv2 as cv` and `matplotlib.pyplot as plt`. Do NOT import `numpy` or `scipy`.
2. **Blur Function**: Implement `blur_image(img, kernel_size)` using `cv.GaussianBlur`. Ensure `kernel_size` is a positive odd integer.
3. **Sharpen Function**: Implement `sharpenImage(img)` using `cv.filter2D` with a fixed 3x3 sharpening kernel: `[[0, -1, 0], [-1, 5, -1], [0, -1, 0]]`.
4. **Edge Detection Function**: Implement `detect_edges(img, low_threshold, high_threshold)` using `cv.Canny`. Convert the image to grayscale if it is not already.
5. **Display Function**: Implement `display_image(img, title=None)` using `cv.imshow`, `cv.waitKey(0)`, and `cv.destroyAllWindows`. Use the title as the window name.

# Anti-Patterns
- Do not use `np.array`, `np.zeros`, or any NumPy functions.
- Do not manually implement convolution loops; use OpenCV built-ins.
- Do not use `scipy`.

## Triggers

- blur image using opencv
- sharpen image without numpy
- edge detection opencv only
- image processing cv2 only
- python image functions no numpy

Excerpt, first 2,029 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.

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

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Opencv Image Processing With Library Constraints

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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