stitched-full-page-capture

stitched-full-page-capture is a skill for Codex from devinilabs/pro-skill. It costs 80 tokens per session (819 once invoked), scanned A, a copy of stitched-full-page-capture, MIT.

A process for making dependable full-page screenshots of web pages that load content while scrolling or reveal sections through animation. It warms the page, captures settled viewport-sized sections, and stitches them into one image.

In plain words
What is it for?
Use it for animated, lazy-loaded, Framer, WebGL, canvas, or reveal-heavy pages, especially when you need evidence images or crops of specific sections.
Why use it?
A browser's one-shot full-page screenshot can miss lazy-loaded content or produce blank areas even when the page works during normal scrolling. This process helps expose and reject incomplete captures.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/check-ui-inspiration-duplicates.mjs articles/YYYY-MM-DD-ui-inspiration-capture/manifest.json.

Good fit Use it for animated, lazy-loaded, Framer, WebGL, canvas, or reveal-heavy pages, especially when you need evidence images or crops of specific sections.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/devinilabs/pro-skill
agentmods
npx agentmods add skills/devinilabs/pro-skill/stitched-full-page-capture

Made for: Codex.

Wrote 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.

agentmods badge for stitched-full-page-capture

README.md
[![agentmods](https://agentmods.dev/badge/skills/devinilabs/pro-skill/stitched-full-page-capture/github.svg)](https://agentmods.dev/skills/devinilabs/pro-skill/stitched-full-page-capture)
Your own site
<a href="https://agentmods.dev/skills/devinilabs/pro-skill/stitched-full-page-capture"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/stitched-full-page-capture/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.

agentmods 80×15 button for stitched-full-page-capture

Your own site · 80×15
<a href="https://agentmods.dev/skills/devinilabs/pro-skill/stitched-full-page-capture"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/stitched-full-page-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 819 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.00819
Opus 5 $0.00040 $0.00409
Sonnet 5 $0.00016 $0.00164
Haiku 4.5 $0.00008 $0.00082

Measured 9d ago against content hash 0ff78c19ffd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

stitched-full-page-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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/stitch_full_page_capture.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to stitched-full-page-capture — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agent-skills/codex/stitched-full-page-capture/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stitched Full-Page Capture

Overview

Use settled viewport screenshots instead of trusting one-shot browser fullPage captures. This is especially important for Framer pages and other lazy/scroll-animated sites where the MP4 can look correct while the tall screenshot is mostly blank.

Core Workflow

  1. Open the real page URL, not a marketplace thumbnail, cover image, remix page, or asset URL.
  2. Warm the page by scrolling from top to bottom once so lazy media and reveal sections mount.
  3. Return to the top.
  4. Scroll downward in viewport-sized or slightly-overlapping steps.
  5. Wait about 2 seconds after each scroll stop.
  6. Capture the settled viewport.
  7. Stitch the viewport captures vertically into one full-page image.
  8. Cut section crops from that stitched image, not from the native browser fullPage screenshot.
  9. Validate the stitched image against the representative still, MP4, and motion frames.

Reject a full-page candidate when it has blank/gray/white bands, very low visual content, missing lazy-loaded sections, an extremely narrow content column, or obvious disagreement with the scroll video.

Script

For daily UI inspiration articles, use the helper script from this skill directory when available:

node <skills-root>/stitched-full-page-capture/scripts/stitch_full_page_capture.mjs \
  --manifest articles/YYYY-MM-DD-ui-inspiration-capture/manifest.json

The script:

  • reads items[].pageUrl, fullPageImage, and sectionImages;
  • opens each live page in Playwright Chromium;
  • warms lazy content by scrolling once;
  • captures settled viewport slices;
  • stitches slices into fullPageImage;
  • regenerates each existing section crop from the stitched image;
  • updates manifest.json with fullPageCaptureMethod: "stitchedViewportScreenshots", viewport, step, segment count, and corrected crop coordinates.

Useful options:

--item 4              # repair only item 4, 1-based
--viewport 1440x1100 # default
--step 950           # default; use less than viewport height for overlap
--wait 2000          # ms to wait after each scroll stop
--quality 3          # ffmpeg JPEG quality, lower is better

Read the full file on GitHub · 76 lines

Files

What ships with it

7 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.

Changes

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.

  1. 9d ago First seen · 76 lines · 80 tokens per session scan A 0ff78c19ffd8

Subscribe to this mod's changes

stitched-full-page-capture is a skill published in the GitHub repository devinilabs/pro-skill (24 stars, last pushed 26d ago), licensed MIT. It adds 80 tokens to every session and 819 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to stitched-full-page-capture, differing in 0 lines, and is treated as a copy.

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