thumbnail-legibility-check SKILL.md skillA

thumbnail-legibility-check from jqaisystems/jqai-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jqaisystems/jqai-ai-skills/thumbnail-legibility-check@git:20260806.5ff6c30

Pins git:20260806.5ff6c30 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jqaisystems/jqai-ai-skills
Path
skills/thumbnail-legibility-check/SKILL.md
Versions recorded
1
Latest version
git:20260806.5ff6c30, committed Aug 6, 2026
Size
4,553 bytes
Repository stars
3
License
MIT

Judge thumbnail or cover-image candidates at the size viewers actually see them, using measured pixels plus glance, grayscale, real-feed and decoy tests, and pick a winner through pairwise duels. Use when choosing between thumbnail options, when an image looks great full size but weak in a feed, when checking whether text or a face survives at small size, or when deciding which cover art to publish.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Thumbnail Legibility Check

Thumbnails are designed at 1280 pixels wide or larger and seen at about 168.
Almost every bad thumbnail decision comes from judging it at the wrong size.

This skill measures what actually survives, then puts the candidates through the
conditions they will really face.

## When to use

- Choosing between several thumbnail, cover, or preview-image candidates.
- An image that looks strong at full size and disappears in a feed.
- Checking whether on-image text or a face reads at small size.
- Comparing a new candidate against what already performs.

## Step 1: measure

```bash
python scripts/legibility.py path/to/candidates --recursive
```

Requires Pillow (`python -m pip install Pillow`). Add `--json` for machine
output. Every candidate is cover-cropped and downscaled to 168x94, then measured:

| Metric | What it means | Risk below or above |
|---|---|---|
| `bright` | Mean luminance | Under 45 sinks into a dark feed; over 200 washes out on white |
| `contr` | Mean per-channel spread | Under 40 reads as flat at small size |
| `pop` | Distance between strongest and weakest channel | Under 12 means muted, no colour signal in a feed |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jqaisystems/jqai-ai-skills/thumbnail-legibility-check@sha256:286f08ce86936c00

The line at the top of this page pins the label git:20260806.5ff6c30, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dvyfktg2cg3dlatj.svg)](https://markdownregistry.com/a/art_dvyfktg2cg3dlatj)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 6, 2026.

versioncommittedcommitsizeaudit
git:20260806.5ff6c30 latest2026-08-06 5ff6c30 4,553 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4553 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jqaisystems/jqai-ai-skills · 3 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dvyfktg2cg3dlatj
GET https://markdownregistry.com/api/v1/resolve?ref=jqaisystems/jqai-ai-skills/thumbnail-legibility-check
GET https://markdownregistry.com/api/v1/blob/286f08ce86936c00eee6a1b173180a1225d95910e0821713e93373ff62f3a3cd

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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