Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill pixel-artgit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/nousresearch/hermes-agent/pixel-art)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/pixel-art"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/pixel-art.svg" alt="Measured on agentmods" height="20"></a>- 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 | $0.00020 | $0.02076 |
| Opus 5 | $0.00010 | $0.01038 |
| Sonnet 5 | $0.00004 | $0.00415 |
| Haiku 4.5 | $0.00002 | $0.00208 |
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 8d 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
8 near-identical copies found in the catalogue:
- pixel-art — 100% identical, 0 lines differ
- pixel-art — 100% identical, 5 lines differ
- pixel-art — 100% identical, 5 lines differ
- pixel-art — 100% identical, 0 lines differ
- pixel-art — 100% identical, 5 lines differ
- pixel-art — 100% identical, 5 lines differ
- pixel-art — 97% identical, 16 lines differ
- pixel-art — 97% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pixel Art
Convert any image into retro pixel art, then optionally animate it into a short MP4 or GIF with era-appropriate effects (rain, fireflies, snow, embers).
Two scripts ship with this skill:
scripts/pixel_art.py— photo → pixel-art PNG (Floyd-Steinberg dithering)scripts/pixel_art_video.py— pixel-art PNG → animated MP4 (+ optional GIF)
Each is importable or runnable directly. Presets snap to hardware palettes when you want era-accurate colors (NES, Game Boy, PICO-8, etc.), or use adaptive N-color quantization for arcade/SNES-style looks.
When to Use
- User wants retro pixel art from a source image
- User asks for NES / Game Boy / PICO-8 / C64 / arcade / SNES styling
- User wants a short looping animation (rain scene, night sky, snow, etc.)
- Posters, album covers, social posts, sprites, characters, avatars
Workflow
Before generating, confirm the style with the user. Different presets produce very different outputs and regenerating is costly.
Step 1 — Offer a style
Call clarify with 4 representative presets. Pick the set based on what the
user asked for — don't just dump all 14.
Default menu when the user's intent is unclear:
clarify(
question="Which pixel-art style do you want?",
choices=[
"arcade — bold, chunky 80s cabinet feel (16 colors, 8px)",
"nes — Nintendo 8-bit hardware palette (54 colors, 8px)",
"gameboy — 4-shade green Game Boy DMG",
"snes — cleaner 16-bit look (32 colors, 4px)",
],
)
When the user already named an era (e.g. "80s arcade", "Gameboy"), skip
clarify and use the matching preset directly.
Step 2 — Offer animation (optional)
If the user asked for a video/GIF, or the output might benefit from motion, ask which scene:
clarify(
question="Want to animate it? Pick a scene or skip.",
choices=[
"night — stars + fireflies + leaves",
"urban — rain + neon pulse",
"snow — falling snowflakes",
"skip — just the image",
],
)
What ships with it
6 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.
- 8d ago First seen · 220 lines · 20 tokens per session scan A 5626459c5c19
pixel-art is a skill published in the GitHub repository NousResearch/hermes-agent (242,680 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 2,076 once invoked, about $0.0001 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
export-as-pptx-editable
Native text & shapes — editable in PowerPoint.
export-as-pptx-screenshots
Flat images — pixel-perfect but not editable.
9router-video
Generate videos via 9Router /v1/videos/generations using xAI Grok Imagine (grok-imagine-video). Async job flow - submit, poll requestid until done, download MP4. Use when the user wants to create, generate, or render a video, text-to-video (txt2vid), or image-to-video.
9router-tts
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
flier
Design a print-ready, single-page flier as one self-contained HTML file: exactly one fixed-size page.
animated-video
Timeline-based motion design.