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 nevergoodstudy-hub/wechat-article-summarizer --skill baoyu-cover-imagegit clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizerWrote 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/nevergoodstudy-hub/wechat-article-summarizer/baoyu-cover-image)<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/baoyu-cover-image"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/baoyu-cover-image/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/nevergoodstudy-hub/wechat-article-summarizer/baoyu-cover-image"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/baoyu-cover-image.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 | $0.00081 | $0.02808 |
| Opus 5 | $0.00041 | $0.01404 |
| Sonnet 5 | $0.00016 | $0.00562 |
| Haiku 4.5 | $0.00008 | $0.00281 |
Grade A, and why
baoyu-cover-image 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 6d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cover Image Generator
Generate elegant cover images for articles with 5-dimensional customization.
Usage
# Auto-select dimensions based on content
/baoyu-cover-image path/to/article.md
# Quick mode: skip confirmation
/baoyu-cover-image article.md --quick
# Specify dimensions
/baoyu-cover-image article.md --type conceptual --palette warm --rendering flat-vector
# Style presets (shorthand for palette + rendering)
/baoyu-cover-image article.md --style blueprint
# With reference images
/baoyu-cover-image article.md --ref style-ref.png
# Direct content input
/baoyu-cover-image --palette mono --aspect 1:1 --quick
[paste content]
Options
| Option | Description |
|---|---|
--type <name> |
hero, conceptual, typography, metaphor, scene, minimal |
--palette <name> |
warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone |
--rendering <name> |
flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print |
--style <name> |
Preset shorthand (see Style Presets) |
--text <level> |
none, title-only, title-subtitle, text-rich |
--mood <level> |
subtle, balanced, bold |
--font <name> |
clean, handwritten, serif, display |
--aspect <ratio> |
16:9 (default), 2.35:1, 4:3, 3:2, 1:1, 3:4 |
--lang <code> |
Title language (en, zh, ja, etc.) |
--no-title |
Alias for --text none |
--quick |
Skip confirmation, use auto-selection |
--ref <files...> |
Reference images for style/composition guidance |
Five Dimensions
| Dimension | Values | Default |
|---|---|---|
| Type | hero, conceptual, typography, metaphor, scene, minimal | auto |
| Palette | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone | auto |
| Rendering | flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print | auto |
| Text | none, title-only, title-subtitle, text-rich | title-only |
| Mood | subtle, balanced, bold | balanced |
| Font | clean, handwritten, serif, display | clean |
What ships with it
32 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.
- references/auto-selection.md 2.7 KB
- references/base-prompt.md 5.3 KB
- references/compatibility.md 2.4 KB
- references/config/first-time-setup.md 5.5 KB
- references/config/preferences-schema.md 8.2 KB
- references/config/watermark-guide.md 2.2 KB
- references/dimensions/font.md 4.7 KB
- references/dimensions/mood.md 4.3 KB
- references/dimensions/text.md 3.1 KB
- references/palettes/cool.md 635 B
- references/palettes/dark.md 645 B
- references/palettes/duotone.md 1.3 KB
- references/palettes/earth.md 626 B
- references/palettes/elegant.md 621 B
- references/palettes/mono.md 608 B
- references/palettes/pastel.md 607 B
- references/palettes/retro.md 825 B
- references/palettes/vivid.md 643 B
- references/palettes/warm.md 613 B
- references/renderings/chalk.md 1.1 KB
- references/renderings/digital.md 1.1 KB
- references/renderings/flat-vector.md 1.2 KB
- references/renderings/hand-drawn.md 1.0 KB
- references/renderings/painterly.md 1.0 KB
- references/renderings/pixel.md 961 B
- references/renderings/screen-print.md 1.5 KB
- references/style-presets.md 1.4 KB
- references/types.md 1.3 KB
- references/visual-elements.md 3.2 KB
- references/workflow/confirm-options.md 5.0 KB
- references/workflow/prompt-template.md 11 KB
- references/workflow/reference-images.md 4.5 KB
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.
- 6d ago First seen · 259 lines · 81 tokens per session scan A 38c1f8440399
baoyu-cover-image is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 2,808 once invoked, about $0.0004 per session on Opus 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 2026-09-03.
Other skills, from other repositories
canvas
Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.
plannotator-visual-explainer
Generate self-contained HTML visualizations with Plannotator theming. Use for implementation plans, PR explainers, architecture diagrams, data tables, slide decks, and any visual explanation of technical concepts. Plans and PR explainers follow Plannotator's prescriptive approach; all other visual content delegates to…
json-canvas
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
knowledge-base-management
A lifecycle system for managing an Obsidian knowledge base, which is a folder of linked notes. It organizes raw material, AI-maintained wiki pages, and generated views into separate layers.
douyin-favorites-to-knowledge
A tool for copying videos saved in an authorised Douyin account into a local Markdown or Obsidian knowledge base. Douyin is a Chinese short-video platform, and Obsidian is an app for organising linked notes.
repurpose-talk
Use when the user just gave a talk, panel, fireside chat, keynote, workshop, podcast, or webinar and wants content made from it — triggers like "I just gave a talk", "the panel is done", "just finished speaking", "turn my talk into LinkedIn posts", "repurpose this recording/transcript into posts, notes, or clips", or…