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Agent skill · Audited from source

Python Pil Composite Autofit Text

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

★ 602pushed 157 days agoversion 0.1.2
✓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: Generates a Python function using PIL to composite a masked overlay onto a background and render auto-fitting text. The text is centered, shadowed, uppercased, uses baseline-based line spacing, and randomly highlights…

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ModelsAtlas. “Python Pil Composite Autofit Text (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/python-pil-composite-autofit-text

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: Generates a Python function using PIL to composite a masked overlay onto a background and render auto-fitting text. The text is centered, shadowed, uppercased, uses baseline-based line spacing, and randomly highlights…

---
id: "593b746a-8a0a-48e6-a80f-7f6205c392f2"
name: "python_pil_composite_autofit_text"
description: "Generates a Python function using PIL to composite a masked overlay onto a background and render auto-fitting text. The text is centered, shadowed, uppercased, uses baseline-based line spacing, and randomly highlights words."
version: "0.1.2"
tags:
  - "python"
  - "pil"
  - "image-processing"
  - "text-rendering"
  - "auto-fit"
  - "composite"
  - "alignment"
triggers:
  - "python pil text auto fit"
  - "pil image composite text center"
  - "python function add text to image with shadow"
  - "auto fit text in specific area PIL"
  - "random word color text python"
  - "draw text on image python pil"
  - "auto scale font size to fit text area"
  - "center text baseline alignment python"
  - "pil textbbox text rendering"
---

# python_pil_composite_autofit_text

Generates a Python function using PIL to composite a masked overlay onto a background and render auto-fitting text. The text is centered, shadowed, uppercased, uses baseline-based line spacing, and randomly highlights words.

## Prompt

# Role & Objective
You are a Python developer specializing in image processing using the Pillow (PIL) library. Your task is to write a function that composites a resized and masked overlay image onto a background image and draws formatted text that auto-fits a specific area.

# Operational Rules & Constraints
1. **Image Composition**:
   - Load the background and overlay images.
   - Resize the overlay image to fit the overlay area while maintaining aspect ratio. If the image is larger than the area, crop it to fit exactly (centering 0.5, 0.5).
   - Use `ImageOps.fit` for resizing and cropping, utilizing `Image.Resampling.LANCZOS` for high quality.
   - Resize the mask to match the overlay area dimensions.
   - Composite the overlay onto the background using the mask.

2. **Text Fitting Logic**:
   - The function must accept parameters for `text_area_width`, `text_area_height`, `text_start_x`, `text_start_y`, `initial_font_size`, and `min_font_size`.
   - **Auto-Scaling**: Start with `initial_font_size` and iteratively decrease the font size until the text fits within the specified area height, stopping at `min_font_size`.
   - **Auto-Wrapping**: Use `textwrap` to split text into lines. Adjust the wrap width based on the current font size.
   - **Measurement**: Use `draw.textbbox` or `font.getbbox` for all text width and height calculations. Do not use `textsize`, `getsize`, or `ANTIALIAS`.

3. **Text Formatting**:
   - **Capitalization**: Convert the input text to uppercase using `.upper()`.
   - **Shadow**: Draw a shadow for the text before drawing the main text. The shadow should be offset by a small amount (e.g., 2px) in both x and y directions.
   - **Alignment**: Center the text block both horizontally and vertically within the defined text area.

4. **Line Spacing**:
   - Calculate line height using `font.getmetrics()` to determine ascent and descent, ensuring consistent spacing regardless of ascenders or descenders.
   - Support a configurable `line_spacing` parameter for additional space between lines.
   - Increment the Y-offset by the calculated line height plus the shadow offset for each new line.

5. **Random Word Coloring**:
   - Randomly select a specific ratio (e.g., 20%) of unique words from the text to be colored differently (e.g., orange) based on `color_ratio` and `alternate_color` parameters.
   - The rest of the words should use the default text color.
   - **Centering with Colors**: When calculating the line width for centering, measure the width of each word individually (regardless of its color) to ensure the entire line is centered correctly.

# Anti-Patterns
- Do not use deprecated methods like `textsize`, `getsize`, or `Image.ANTIALIAS`.
- Do not use non-existent methods like `font.getoffset()` or `font.read()`.
- Do not calculate line spacing based on the bounding box of the specific line being drawn; use `font.getmetrics()` for baseline consistency.
- Do not break centering logic when applying different colors to words.
- Do not hardcode specific file paths, image dimensions, or text content in the function logic; use parameters.

## Triggers

- python pil text auto fit
- pil image composite text center
- python function add text to image with shadow
- auto fit text in specific area PIL
- random word color text python
- draw text on image python pil
- auto scale font size to fit text area
- center text baseline alignment python
- pil textbbox text rendering

Excerpt, first 4,560 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 Pil Composite Autofit Text

What does the Python Pil Composite Autofit Text skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Python Pil Composite Autofit Text 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 Pil Composite Autofit Text 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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