ARIS is a collection of Markdown-based skills that define a workflow for autonomous machine-learning research, including idea discovery, experiment automation, and review loops. Researchers and AI coding agents use it across tools such as Claude Code, Codex, Cursor, and OpenClaw without depending on a single framework. The catalogue entries are ARIS workflow skills and agents.
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 wanshuiyin/Auto-claude-code-research-in-sleep --skill pixel-artgit clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepWrote 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/wanshuiyin/auto-claude-code-research-in-sleep/pixel-art)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/pixel-art"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/pixel-art/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/wanshuiyin/auto-claude-code-research-in-sleep/pixel-art"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/pixel-art.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00048 | $0.01609 |
| Opus 5 | $0.00024 | $0.00805 |
| Sonnet 5 | $0.00010 | $0.00322 |
| Haiku 4.5 | $0.00005 | $0.00161 |
Grade A, and why
pixel-art 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 12d 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:
- pixel-art — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pixel Art SVG Generator
Create a pixel art SVG illustration: $ARGUMENTS
Design Principles
Pixel Grid
- Each "pixel" is a
<rect>with width/height of 7px - Grid spacing: 7px (no gaps between pixels)
- Characters are typically 8-10 pixels wide, 8-12 pixels tall
- Use
<g transform="translate(x,y)">to position and reuse character groups
Color Palette
Keep it simple — 3-5 colors per character:
- Skin:
#FFDAB9(light),#E8967A/#D4956A(blush/shadow) - Eyes:
#333 - Hair:
#8B5E3C(brown),#2C2C2C(black),#FFD700(blonde),#C0392B(red) - Clothes: use project's brand color (e.g.
#4A9EDAfor blue,#74AA63for green) - Shoes/pants:
#444 - Accessories:
#555(glasses frames),#FFD700(crown)
Character Template (7px grid)
Row 0 (hair top): 4 pixels centered
Row 1 (hair): 6 pixels wide
Row 2 (face top): 6 pixels — all skin
Row 3 (eyes): 6 pixels — skin, eye, skin, skin, eye, skin
Row 4 (mouth): 6 pixels — skin, skin, mouth, mouth, skin, skin
Row 5 (body top): 8 pixels — hand, 6 shirt, hand
Row 6 (body): 6 pixels — all shirt
Row 7 (legs): 2+2 pixels — with gap in middle
Scene Composition
Chat Dialogue Layout (like our hero image)
- Two characters on left/right sides, vertically centered
- Chat bubbles between them, alternating left/right
- Bubble tails point toward the speaking character
- Arrows between bubbles show direction of communication
- Use
orient="auto"markers for arrow heads - Bottom: tagline or decoration
Single Character with Label
- Character centered
- Label text below
- Optional: speech bubble above
Group Scene
- Characters spaced evenly
- Optional: ground line, background elements
- Keep viewBox tight — no wasted space
SVG Structure
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 W H" font-family="monospace">
<defs>
<!-- Arrow markers if needed -->
</defs>
<rect width="W" height="H" fill="#fafbfc" rx="12"/> <!-- Background -->
<!-- Characters via <g transform="translate(...)"> -->
<!-- Dialogue bubbles: <rect> + <polygon> tail + <text> -->
<!-- Arrows: <line> with marker-end -->
<!-- Labels: <text> with text-anchor="middle" -->
</svg>
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.
- 12d ago First seen · 138 lines · 48 tokens per session scan A e65d74863168
pixel-art is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (15,970 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 1,609 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
html-ppt-presenter-mode
Open Design live demo: from a one-line prompt to runnable design in a single session — the flow, live. Built as a decision-grade AI literacy deck for developers, prospects, community.
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).
html-ppt-taste-editorial
16:9 HTML deck in editorial-minimalist taste. Warm cream slides, serif display + grotesque body, hairline rules, monospace meta, generous macro-whitespace, one accent. Distilled from Leonxlnx/taste-skill minimalist-skill.
magazine-poster
An editorial-style poster — newsprint paper, dateline, oversized serif headline with a struck-through word and italic accent, a 2-column body block, and 6 numbered sections with annotated pull-quote captions. Reads like a Sunday-paper full-page essay or a thoughtful launch poster. Use when the brief asks for "magazine…
motion-frames
A single-frame motion-design composition with looping CSS animations — rotating type ring, animated globe, ticking timer, parallax labels. Renders as a hero video poster you can hand straight to HyperFrames or any keyframe-based exporter. Use when the brief asks for "motion design", "animated hero", "loop", "video…
frame-glitch-title
Digital glitch, chromatic offset, and data-corruption title frame for video transitions or cyberpunk heroes.