Borrowing it
Nothing to install: this file belongs to IvanWng97/pixtuoid. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IvanWng97/pixtuoid/main/.claude/skills/beautify-decoration/SKILL.mdgit clone --depth 1 https://github.com/IvanWng97/pixtuoidWrote 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/ivanwng97/pixtuoid/beautify-decoration)<a href="https://agentmods.dev/skills/ivanwng97/pixtuoid/beautify-decoration"><img src="https://agentmods.dev/badge/skills/ivanwng97/pixtuoid/beautify-decoration/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/ivanwng97/pixtuoid/beautify-decoration"><img src="https://agentmods.dev/badge/skills/ivanwng97/pixtuoid/beautify-decoration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00093 | $0.02966 |
| Opus 5 | $0.00046 | $0.01483 |
| Sonnet 5 | $0.00019 | $0.00593 |
| Haiku 4.5 | $0.00009 | $0.00297 |
Grade A, and why
beautify-decoration 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 13d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
beautify-decoration (v1)
A repo-specific iteration loop for visually redesigning a decoration in pixtuoid. Follow this when the user says "beautify X" or "make Y look better" — it short-circuits several rebuild traps and visual-design dead ends that aren't obvious from the codebase alone.
When to use
- Redesigning an existing decoration sprite (pantry, lounge, meeting, cubicle decor)
- Adding a new fixture (pendant lamp, water cooler, chalkboard, etc.)
- User says "items look too small / don't read like X / blend together"
- After making sprite edits and "I don't see any change"
The visual-iteration loop
1. Edit sprite OR layout
↓
2. cargo build --release --example snapshot
↓
3. ./target/release/examples/snapshot --cols 192 --rows 80 /tmp/snap.png
↓
4. .venv/bin/python3 scripts/crop-snapshot.py /tmp/snap.png --scale 3 -q <quadrant>
(or skip the quadrant guessing: snapshot --crop-furniture pantry|couch|vending|
printer|meeting|sofa|chair|island|snackshelf|desk OR --crop-agent <label> renders a 40x24-cell window
already centered on the target — no Python step)
↓
5. Read the cropped PNG → self-critique → back to step 1
↓
6. When happy, send to user with SendUserFile and short caption
↓
7. cargo build --release --workspace ← rebuild the LIVE binary too
↓
8. Commit with iteration history (which designs were tried, why rejected)
The user is the final judge of "does it look like a fridge / coffee machine / etc." — but you should self-critique before sending. Three iterations of self-critique before bothering the user.
Step 7 is mandatory. cargo build --release --example snapshot does NOT rebuild the main binary. Users testing with ./target/release/pixtuoid run won't see sprite changes until the workspace is rebuilt. Forgetting this step is how "I changed the sprite but nothing happened in the live TUI" bugs get filed.
Step 8 is mandatory. Commit messages for sprite changes must include the iteration count and a one-line rationale for each rejected attempt. Future editors need to know which alternatives were explored — otherwise they'll re-try the same dead-end designs (the seated_sleeping sprite went through 4 iterations before reading correctly at scale).
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.
- 13d ago First seen · 162 lines · 93 tokens per session scan A cf4270fa2c95
beautify-decoration is a skill published in the GitHub repository IvanWng97/pixtuoid (475 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 2,966 once invoked, about $0.0005 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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