ui-recording-timeline

ui-recording-timeline is a skill for Claude Code, Codex from vvedantb/eva. It costs 118 tokens per session (2,203 once invoked), scanned A, original, MIT.

A tool that turns a full-window recording of a website or app into an interactive page showing when visible parts were painted. The page includes the video, a time track, thumbnails, and a list of paint events.

In plain words
What is it for?
Use it to study loading and startup behavior, investigate visual delays, and share a self-contained timeline page with the original video.
Why use it?
It makes it easier to see what appeared during page loads, navigation, redirects, sign-in flows, or app startup, instead of inspecting a recording frame by frame. It also separates visual changes from movement that did not repaint the screen.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to study loading and startup behavior, investigate visual delays, and share a self-contained timeline page with the original video.

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Install with agentmods
npx agentmods add skills/vvedantb/eva/ui-recording-timeline
Install

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.

Any agent
npx skills add vvedantb/eva --skill ui-recording-timeline
Clone the repo
git clone --depth 1 https://github.com/vvedantb/eva

Made for: Claude Code, 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 ui-recording-timeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/vvedantb/eva/ui-recording-timeline/github.svg)](https://agentmods.dev/skills/vvedantb/eva/ui-recording-timeline)
Your own site
<a href="https://agentmods.dev/skills/vvedantb/eva/ui-recording-timeline"><img src="https://agentmods.dev/badge/skills/vvedantb/eva/ui-recording-timeline/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 ui-recording-timeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/vvedantb/eva/ui-recording-timeline"><img src="https://agentmods.dev/badge/skills/vvedantb/eva/ui-recording-timeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,203 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 original No closer match found 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 $0.00118 $0.02203
Opus 5.5 $0.00047 $0.00881
Sonnet 5.5 $0.00024 $0.00441
Haiku 4.5 $0.00012 $0.00220

Measured 5d ago against content hash 33b70a5293f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ui-recording-timeline 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/timeline.py), 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.

.agents/skills/ui-recording-timeline/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UI recording timeline

Produces a self-contained folder with index.html and the video. The video fills the window. Below it are a one-line caption and a thin timeline (phase colors, paint ticks, hover thumbnails, scrubbing). Change regions flash on the video at each paint, and a paint list drawer opens with l.

Everything needed is in this skill directory:

  • scripts/timeline.py: one CLI with all the steps. Dependencies are declared inline, and uv run installs them.
  • assets/template.html: the page. build injects the data into it.

Requirements: ffmpeg/ffprobe and uv on PATH. Chrome or Chromium is needed only for preview.

Below, T means uv run <this skill dir>/scripts/timeline.py. Define it as a shell function, not a variable: zsh doesn't word-split variables. Use the absolute path of the skill directory:

T(){ uv run "/abs/path/to/ui-recording-timeline/scripts/timeline.py" "$@"; }

WD is the output folder. If the user's project has conventions for where research or collateral goes, follow them; otherwise put WD next to the video as <video-stem>-timeline/.

Workflow

1. Extract and find candidate paints

T extract /path/to/recording.mp4 WD     # copies video, writes meta.json (frame timestamps; VFR is fine)
T candidates WD                         # table of frames that differ from the previous frame

Each row has the frame index, time, % changed, kind (change / full / cursor?), and the normalized bbox. Small cursor-like changes are hidden (use --all to show them).

2. Look at the frames, then decide what counts as a paint

Never label from the table alone. Look at the frames:

T sheet WD --frames 0,4,14,26,61 --name overview          # labelled contact sheets -> WD/sheets/*.jpg
T sheet WD --frames 18,19 --crop 0,0,0.25,0.15 --name zoom # zoom into a small change

Read the sheet images with the image viewer. Make sure to include the frame before each candidate, so you can see what changed.

Read the full file on GitHub · 125 lines

Files

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.

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. 5d ago First seen · 125 lines · 118 tokens per session scan A 33b70a5293f3

Subscribe to this mod's changes

ui-recording-timeline is a skill published in the GitHub repository vvedantb/eva (101 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 2,203 once invoked, about $0.0005 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 2026-10-13.

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