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 sablier-labs/agent-skills --skill spec-from-screenshotgit clone --depth 1 https://github.com/sablier-labs/agent-skillsWrote 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/sablier-labs/agent-skills/spec-from-screenshot)<a href="https://agentmods.dev/skills/sablier-labs/agent-skills/spec-from-screenshot"><img src="https://agentmods.dev/badge/skills/sablier-labs/agent-skills/spec-from-screenshot/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/sablier-labs/agent-skills/spec-from-screenshot"><img src="https://agentmods.dev/badge/skills/sablier-labs/agent-skills/spec-from-screenshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00053 | $0.01085 |
| Opus 5.5 | $0.00021 | $0.00434 |
| Sonnet 5.5 | $0.00011 | $0.00217 |
| Haiku 4.5 | $0.00005 | $0.00109 |
Grade A, and why
spec-from-screenshot 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screenshot Analysis & Spec Generation
Analyze website screenshots and generate detailed implementation specifications. This skill guides creation of
comprehensive SPEC.md files that document design systems extracted from visual references.
When to Use
- User provides website screenshots or design mockups
- Request for implementation specifications from visual references
- Need to extract design systems (colors, typography, spacing) from images
- Creating detailed component inventories from UI screenshots
Workflow
Step 1: Validate Prerequisites
Ensure screenshots are available in the conversation. If no images are present, request them before proceeding.
Step 2: Perform Ultra-Detailed Analysis
Analyze all provided screenshots covering these aspects:
1. Layout Architecture
- Overall page structure (header, navigation, hero, main content, sidebars, footer)
- Grid system and column layouts
- Container widths and max-widths
- Section hierarchy and nesting
2. Typography System
- Font families (identify primary, secondary, monospace)
- Font sizes for each text level (h1-h6, body, small, etc.)
- Font weights used (light, regular, medium, semibold, bold)
- Line heights and letter spacing
- Text colors and contrast ratios
3. Color Palette
- Primary brand colors
- Secondary/accent colors
- Background colors (main, sections, cards)
- Text colors (headings, body, muted, links)
- Border colors
- State colors (success, error, warning, info)
- Color codes in hex/rgb (best approximation)
4. Spacing System
- Margins between major sections
- Padding within components
- Gap spacing in flex/grid layouts
- Consistent spacing scale (e.g., 4px, 8px, 16px, 24px, 32px)
- Vertical rhythm patterns
5. Component Inventory
- Buttons (styles, sizes, states)
- Input fields and forms
- Cards and containers
- Navigation elements
- Icons and their style
- Badges, tags, labels
- Modals, tooltips, dropdowns
- List items and data tables
6. Visual Design Details
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 · 195 lines · 53 tokens per session scan A ab1d8a051393
spec-from-screenshot is a skill published in the GitHub repository sablier-labs/agent-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,085 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.