Borrowing it
Nothing to install: this file belongs to HoangYell/markdy-com. 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/HoangYell/markdy-com/main/.agents/skills/markdy-visual-capture/SKILL.mdgit clone --depth 1 https://github.com/HoangYell/markdy-comWrote 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/hoangyell/markdy-com/markdy-visual-capture)<a href="https://agentmods.dev/skills/hoangyell/markdy-com/markdy-visual-capture"><img src="https://agentmods.dev/badge/skills/hoangyell/markdy-com/markdy-visual-capture.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.01031 |
| Opus 5 | $0.00020 | $0.00515 |
| Sonnet 5 | $0.00008 | $0.00206 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
markdy-visual-capture 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdy Visual Capture & Mascot Decoration Skill
This skill teaches the agent how to capture crisp 2× Retina screenshots from the live Markdy studio / playground (http://markdy.com/playground/ or local dev server) and decorate them into landscape (16:9 widescreen, 1600×900) documentation assets matching the og-markdy.png aesthetic.
🎨 Visual Composition Rules
- Landscape 16:9 Format: All documentation images must use
1600×900px rendered atdeviceScaleFactor: 2(3200×1800 virtual resolution) and saved as optimized.webp. - Dominant Main Window: The main diagram window card takes up ~95% of the canvas width, framed with a clean macOS titlebar (🔴 🟡 🟢 traffic light dots and scene tags).
- Mascot Placement: The cute Markdy axolotl mascot (
docs/images/mascot/markdy.png) sits at the bottom-right corner, naturally overlapping the frame without obscuring key diagram nodes. - Speech Bubble Explanations: Positioned directly above the mascot, providing concise, human-readable explanations of the architectural mechanics (e.g. how Redis caches slugs in under 2ms, how Kubernetes Ingress terminates TLS).
- 3D Icon Pinned Sticky Note: An enlarged yellow sticky note is positioned at the bottom-left corner, pinned at its top-left by the 3D glossy Markdy hexagon icon (
docs/images/mascot/3d-icon.png). - No Center Link Distractions: Do NOT draw heavy magical beams or lines crossing over the diagram content. The diagram must remain clear, sharp, and dominant.
- Brand Top Bar: Sleek header with the 3D Markdy icon,
Markdy.comlogo, and 3D architectural pattern badges.
🛠️ Step-by-Step Execution Workflow
Step 1: Capture Raw Playground Scenes
To capture clean diagram scenes from http://markdy.com/playground/:
node .agents/skills/markdy-visual-capture/scripts/capture-playground-scenes.mjs
This script:
- Connects to Google Chrome headless.
- Switches the playground to canvas-only view (
#view-canvas-btn). - Iterates through the dropdown examples (
#quick-example-select). - Scrubs the timeline slider (
#timeline-range) to80%progress so flow edges, requests, and active cues are visible. - Triggers auto-zoom centering (
#canvas-zoom-fit-btn). - Saves raw
.webpcaptures intmp/raw-captures/.
What ships with it
2 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 · 85 lines · 41 tokens per session scan A 14bde38022a1
markdy-visual-capture is a skill published in the GitHub repository HoangYell/markdy-com (90 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 1,031 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.
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