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 kyh/vibedgames --skill asepritegit clone --depth 1 https://github.com/kyh/vibedgamesWrote 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/kyh/vibedgames/aseprite)<a href="https://agentmods.dev/skills/kyh/vibedgames/aseprite"><img src="https://agentmods.dev/badge/skills/kyh/vibedgames/aseprite.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 30 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00056 | $0.01150 |
| Opus 5 | $0.00028 | $0.00575 |
| Sonnet 5 | $0.00011 | $0.00230 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
aseprite 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 4d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aseprite Inference
An .ase/.aseprite file is a structured timeline of layered pixel (or tilemap) cels. Read and verify the file rather than hard-coding expectations; output what you know and what you assumed.
Before inferring, ask:
- Authoring intent (tags/slices/user data) or render intent (visible pixels/bounds/ordering)?
- Do you need pixels (decompress cel images), or is structure-only (layers/timing/tags) enough?
- Is the sprite RGBA / Grayscale / Indexed / Tilemap — and does that change transparency/bounds logic?
Core principles
- Chunk-driven: skip unknown chunks by
chunk_size, don't crash. - Per-frame timing:
header.speedis deprecated; each frame has its own duration (fallback to speed only when a frame duration is 0). - Separate decode modes: fast metadata pass first; pixel/tile decode only when needed.
Quick Start
Turn a file into JSON — needs nothing but node:
# This skill's directory. Claude Code substitutes CLAUDE_SKILL_DIR (project, global
# or plugin install); other agents fall back to wherever `skills add` put it.
SKILL="${CLAUDE_SKILL_DIR}"
[ -d "$SKILL" ] || for d in .agents/skills .claude/skills ~/.agents/skills ~/.claude/skills; do
[ -d "$d/aseprite" ] && SKILL=$d/aseprite && break
done
node $SKILL/scripts/aseprite-inspect.mjs path/to/sprite.aseprite --json
Opt into pixel-derived inference (e.g. tight bounds):
node $SKILL/scripts/aseprite-inspect.mjs path/to/sprite.aseprite --json --decode-cels
Add --pretty to indent the JSON. Decoding is capped by --max-decompress-mib
(default 64), so a hostile file can't make it allocate.
What You Can Infer Reliably
Structure-only: frame count + per-frame durations + total timeline; layer hierarchy (child levels), blend modes, opacities, flags, optional UUIDs; per-frame/per-layer cel placement, linked cels, z-index, opacity; tags (ranges + direction/repeat); slices (frame-keyed rects, optional 9-slice + pivot); tilesets/tilemaps (tile dims, count, masks with ID + flips); palettes + transparency index; user data on layers/cels/tags/tilesets.
What ships with it
4 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.
- 4d ago Changed · +9 lines 745111477b96
- 8d ago First seen · 75 lines · 56 tokens per session scan A c460fd685f5b
aseprite is a skill published in the GitHub repository kyh/vibedgames (55 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 1,150 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 2026-08-30.
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