Borrowing it
Nothing to install: this file belongs to zipxing/rust_pixel. 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/zipxing/rust_pixel/main/.claude/skills/gen-mdpt/SKILL.mdgit clone --depth 1 https://github.com/zipxing/rust_pixelWrote 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/zipxing/rust_pixel/gen-mdpt)<a href="https://agentmods.dev/skills/zipxing/rust_pixel/gen-mdpt"><img src="https://agentmods.dev/badge/skills/zipxing/rust_pixel/gen-mdpt/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/zipxing/rust_pixel/gen-mdpt"><img src="https://agentmods.dev/badge/skills/zipxing/rust_pixel/gen-mdpt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Prompt Injection · line 110 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00033 | $0.01560 |
| Opus 5.5 | $0.00013 | $0.00624 |
| Sonnet 5.5 | $0.00007 | $0.00312 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
gen-mdpt 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 2mo 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate MDPT Presentation
You are generating a markdown presentation for MDPT (Markdown Presentation Tool built with RustPixel).
Topic / Requirements: $ARGUMENTS
Output
Write the generated markdown to gen.md in the current working directory.
MDPT Format Specification
YAML Frontmatter (required at top)
---
title: Presentation Title
author: Author Name
theme: dark
transition: cycle
title_animation: typewriter
code_theme: base16-ocean.dark
margin: 4
height: 26
transition_duration: 0.2
---
Available values:
- theme:
dark,light - transition:
cycle,fade,slide_left,slide_right,slide_up,slide_down - title_animation:
typewriter,spotlight,wave,fadein - code_theme: any syntect theme (
base16-ocean.dark,Solarized (dark),InspiredGitHub) - margin: horizontal margin in cells (default 2)
- width: virtual canvas width in cells (default 80)
- height: virtual canvas height in cells (default 24, use 26-30 for dense content)
Slide Separator
Use --- on its own line to separate slides.
Headings
# H1— title slides and ending slides only## H2— normal slide title (most slides use this)### H3— section heading within a slide
Lists
* Unordered item (supports nesting with indentation)
* Nested item
* Deeper nesting
1. Ordered item
2. Second item
Code Blocks
```rust +line_numbers
fn main() {
println!("Hello!");
}
```
Options after language name: +line_numbers, +no_background
Dynamic highlighting (press Space to cycle groups):
```rust {1-3|5-8|all} +line_numbers
// lines 1-3 highlighted first
// then lines 5-8
// then all
```
Tables
| Header 1 | Header 2 | Header 3 |
|:---------|:--------:|---------:|
| Left | Center | Right |
Block Quotes and Alerts
> Regular quote text
> [!note]
> This is a helpful note.
> [!caution]
> Be careful with this!
What ships with it
1 file 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.
- 2mo ago First seen · 239 lines · 33 tokens per session scan A 4eec7050878a
gen-mdpt is a skill published in the GitHub repository zipxing/rust_pixel (300 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,560 once invoked, about $0.0001 per session on Opus 5.5. 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.
gen-mdpt compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gen-mdptzipxing/rust_pixel | Skill | 300 | 3mo ago | Apache-2.0 | A | 33 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |