Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add EthanYoQ/Skill-hub --skill github-readme-visualsgit clone --depth 1 https://github.com/EthanYoQ/Skill-hubWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ethanyoq/skill-hub/github-readme-visuals)<a href="https://agentmods.dev/skills/ethanyoq/skill-hub/github-readme-visuals"><img src="https://agentmods.dev/badge/skills/ethanyoq/skill-hub/github-readme-visuals/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ethanyoq/skill-hub/github-readme-visuals"><img src="https://agentmods.dev/badge/skills/ethanyoq/skill-hub/github-readme-visuals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.01676 |
| Opus 5.5 | $0.00024 | $0.00670 |
| Sonnet 5.5 | $0.00012 | $0.00335 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
github-readme-visuals scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub README Visuals
Create a fast, trustworthy visual explanation of the product without replacing its factual README content.
Workflow
-
Inspect the repository before designing.
- Read the README, product notes, local instructions, existing assets, and available screenshots.
- For application repositories, prioritize real product screenshots as proof. Do not present generated UI as a real screen.
- Identify the user journey a first-time visitor should understand in one glance.
- Build a visual-claim ledger before writing hero copy: every product, pricing, privacy, credential, provider, and deployment claim must be supported by the README, source, or user-confirmed facts. Omit ambiguous claims instead of guessing.
-
Establish visual direction.
- When Creative Production is available, use its style intake before generating a new direction. Use
moodboard-explorerwhen the user asks for multiple visual territories or concept options. - If the user does not choose a direction, use a restrained default: one original hero, product-led composition, readable hierarchy, and a palette derived from the repository's existing UI or brand assets.
- Directly inspect every supplied reference before production. Record its canvas ratio, major spatial split, dominant visual, screenshot count, overlap, rotation, off-canvas clipping, shadows, typography blocks, and decorative motifs.
- When the user explicitly requests a layout or style match, preserve the reference's composition grammar and visual hierarchy while replacing its UI, logo, copy, branding, and assets with material from the target repository.
- Measure repeated screenshot frames instead of estimating them independently. If the reference uses equal-size frames, define one canonical width and aspect ratio for every screenshot; create hierarchy through position, overlap, off-canvas clipping, rotation, contrast, and z-order rather than arbitrary scaling.
- When the brief says one-to-one, exact, or fully replicated, create a pixel geometry table before editing. Record canvas size; each screenshot's four corners, frame width and height, rotation, off-canvas clipping, and z-order; distances between adjacent frames; and each decorative shape's orientation and anchor point.
- Derive CSS positions from measured corners and rotation. Do not substitute a visually similar arrangement or independently eyeball each frame.
- Do not start final production from a moodboard or verbal summary alone when an exact reference image is available.
- When Creative Production is available, use its style intake before generating a new direction. Use
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · -19 lines · -37 tokens per session b44f7026b1d3
- 1mo ago First seen · 91 lines · 97 tokens per session scan A 7328be60a831
github-readme-visuals is a skill published in the GitHub repository EthanYoQ/Skill-hub (11 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,676 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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