cover-performance-preflight SKILL.md skillA

cover-performance-preflight from beatra-ai/beatra-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add beatra-ai/beatra-skills/cover-performance-preflight@git:20261015.2337206

Pins git:20261015.2337206 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
beatra-ai/beatra-skills
Path
skills/cover-performance-preflight/SKILL.md
Versions recorded
2
Latest version
git:20261015.2337206, committed Oct 15, 2026
First version recorded
Aug 20, 2026
Size
11,937 bytes
Repository stars
6
License
MIT-0

Review an existing YouTube thumbnail, social media cover, article cover, or podcast cover design, then turn the findings into a practical thumbnail-optimization and cover-improvement plan. This AI thumbnail analyzer identifies the visual hook, focal hierarchy, title-to-image fit, text-safe contrast, mobile readability, and crop resilience, then produces targeted edit directions and two or three video cover improvement candidates ready to compare. It can optionally read the field your cover is…

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

# Cover Improvement Preflight

Turn an existing cover into a concise qualitative preflight card, practical
revision directions, and—after a paid-call confirmation of its own—two or three
visual cover candidates. An optional same-topic baseline is the one other paid
step; it carries its own confirmation, and declining it changes nothing about the
card, which is free either way. Use this Skill for a video thumbnail, social post cover,
article hero image, or podcast cover that is already designed but needs a
clearer visual message before publication.

Start from the supplied cover and reuse its title, content topic, destination,
audience, brand references, and must-keep details. When there is no existing
cover, route the creation job to the package matching the destination:
`wechat-cover-maker` for WeChat articles, `rednote-cover-maker` for REDnote
posts, or `poster-design-studio` for a campaign, poster, or broader social
graphic.

## Build the qualitative preflight card

The cover itself is the hard input. The title or core message and publication
surface are needed when they change the assessment; ask one compact question
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add beatra-ai/beatra-skills/cover-performance-preflight@sha256:0c0609a0f4a885b9

The line at the top of this page pins the label git:20261015.2337206, 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_yxwa3dfat4hin6ux.svg)](https://markdownregistry.com/a/art_yxwa3dfat4hin6ux)

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

Versions

The registry has recorded 2 versions of this file, between Aug 20, 2026 and Oct 15, 2026, about one every 57 days.

versioncommittedcommitsizeaudit
git:20261015.2337206 latest2026-10-15 2337206 11,937 BA view · diff
git:20260820.c4aa6002026-08-20 c4aa600 12,301 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 (11937 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

beatra-ai/beatra-skills · 6 stars · license MIT-0 · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yxwa3dfat4hin6ux
GET https://markdownregistry.com/api/v1/resolve?ref=beatra-ai/beatra-skills/cover-performance-preflight
GET https://markdownregistry.com/api/v1/blob/0c0609a0f4a885b905b54d0a137e2b9082ba9efcd87d26f766113ee1baf26ad3

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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