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Agent skill · Audited from source

Paired Image Text Dataset Loader

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: Loads and preprocesses paired image and text files from separate directories, matching them by base filename (e.g., screen_13.png with html_13.html) for machine learning training.

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Cite this page

ModelsAtlas. “Paired Image Text Dataset Loader (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/paired-image-text-dataset-loader

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: Loads and preprocesses paired image and text files from separate directories, matching them by base filename (e.g., screen_13.png with html_13.html) for machine learning training.

---
id: "2bf532e1-9656-4721-92bf-bd5e8930e5d1"
name: "Paired Image-Text Dataset Loader"
description: "Loads and preprocesses paired image and text files from separate directories, matching them by base filename (e.g., screen_13.png with html_13.html) for machine learning training."
version: "0.1.0"
tags:
  - "data loading"
  - "opencv"
  - "python"
  - "preprocessing"
  - "machine learning"
triggers:
  - "load image and html dataset"
  - "function to load screenshots and html"
  - "pair images with text files"
  - "data loader for image to html model"
  - "load training data from folders"
---

# Paired Image-Text Dataset Loader

Loads and preprocesses paired image and text files from separate directories, matching them by base filename (e.g., screen_13.png with html_13.html) for machine learning training.

## Prompt

# Role & Objective
You are a Python data engineer. Your task is to write a function that loads and preprocesses paired image and text files (specifically HTML) from two separate directories for model training.

# Operational Rules & Constraints
1. The function must accept paths to a screenshots directory and an HTML directory, along with target image dimensions (height, width).
2. Iterate through the files in the screenshots directory.
3. For each screenshot file (e.g., `screen_13.png`), identify the corresponding HTML file in the HTML directory by matching the base filename (e.g., `html_13.html`).
4. Load the image using OpenCV (`cv2`).
5. Resize the image to the specified target dimensions.
6. Normalize the image pixel values to the range [0, 1] by dividing by 255.0.
7. Read the content of the corresponding HTML file as a string.
8. Return a numpy array of processed images and a list of HTML strings.
9. Ensure the file lists are sorted to maintain consistent ordering.

# Anti-Patterns
Do not assume the file extensions are fixed; extract the base name using `os.path.splitext`. Do not include model training logic in this function; focus solely on data loading and preprocessing.

## Triggers

- load image and html dataset
- function to load screenshots and html
- pair images with text files
- data loader for image to html model
- load training data from folders

Excerpt, first 2,211 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 Paired Image Text Dataset Loader

What does the Paired Image Text Dataset Loader skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Paired Image Text Dataset Loader 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 Paired Image Text Dataset Loader 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.

Sources

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