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 notedit/happy-skills --skill cover-imagegit clone --depth 1 https://github.com/notedit/happy-skillsWrote 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/notedit/happy-skills/cover-image)<a href="https://agentmods.dev/skills/notedit/happy-skills/cover-image"><img src="https://agentmods.dev/badge/skills/notedit/happy-skills/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/notedit/happy-skills/cover-image"><img src="https://agentmods.dev/badge/skills/notedit/happy-skills/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 | $0.00067 | $0.02788 |
| Opus 5 | $0.00034 | $0.01394 |
| Sonnet 5 | $0.00013 | $0.00558 |
| Haiku 4.5 | $0.00007 | $0.00279 |
Grade A, and why
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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- baoyu-cover-image — 86% identical, 211 lines differ
How it starts
The opening of the file, as written. The whole thing — 283 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. Supports Chinese text rendering.
Usage
# Auto-select dimensions based on content
/cover-image path/to/article.md
# Quick mode: skip confirmation
/cover-image article.md --quick
# Specify dimensions
/cover-image article.md --type conceptual --palette warm --rendering flat-vector
# WeChat Official Account cover
/cover-image article.md --aspect 2.35:1
# Specify provider
/cover-image article.md --provider qwen
# Use style preset
/cover-image article.md --style tech-dark
# Large font for better visibility
/cover-image article.md --font-size large
# Generate multiple options
/cover-image article.md --n 3
# With reference images (Google/OpenAI only)
/cover-image article.md --ref style-ref.png
# Direct content input
/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 |
--rendering <name> |
flat-vector, hand-drawn, painterly, digital, pixel, chalk |
--text <level> |
none, title-only, title-subtitle, text-rich |
--mood <level> |
subtle, balanced, bold |
--font <name> |
clean, handwritten, serif, display |
--font-size <size> |
small, medium (default), large, xlarge |
--aspect <ratio> |
16:9 (default), 2.35:1 (公众号封面), 4:3, 3:2, 1:1, 3:4 |
--provider <name> |
qwen (default), openai, google |
--style <preset> |
tech-dark, tech-clean, lifestyle-warm, business-elegant, announcement-bold, minimal-zen, creative-playful, retro-vintage |
--lang <code> |
Title language (en, zh, ja, etc.) |
--no-title |
Alias for --text none |
--n <count> |
Number of images to generate (1-4) |
--quick |
Skip confirmation, use auto-selection |
--ref <files...> |
Reference images for style/composition guidance |
What ships with it
26 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 3.7 KB
- references/dimensions/font.md 4.5 KB
- references/dimensions/mood.md 4.0 KB
- references/dimensions/text.md 2.8 KB
- references/palettes/cool.md 565 B
- references/palettes/dark.md 556 B
- references/palettes/earth.md 550 B
- references/palettes/elegant.md 577 B
- references/palettes/mono.md 542 B
- references/palettes/pastel.md 546 B
- references/palettes/retro.md 551 B
- references/palettes/vivid.md 571 B
- references/palettes/warm.md 613 B
- references/renderings/chalk.md 897 B
- references/renderings/digital.md 876 B
- references/renderings/flat-vector.md 1.2 KB
- references/renderings/hand-drawn.md 1.0 KB
- references/renderings/painterly.md 886 B
- references/renderings/pixel.md 852 B
- references/style-presets.md 3.9 KB
- references/types.md 1.3 KB
- references/visual-elements.md 3.2 KB
- references/workflow/confirm-options.md 2.9 KB
- references/workflow/prompt-template.md 4.2 KB
- references/workflow/qwen-api.md 3.3 KB
- references/workflow/reference-images.md 3.1 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.
- 9d ago First seen · 283 lines · 67 tokens per session scan A cafbbd771b23
cover-image is a skill published in the GitHub repository notedit/happy-skills (340 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 2,788 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.