alego: Skill for Claude Code

.agents/skills/record-browser-gif/SKILL.md

record-browser-gif is a skill for Claude Code, Codex from singula-ai/alego. It costs 111 tokens per session (3,551 once invoked), scanned A, a copy of record-browser-gif, MIT.

A workflow for recording short demonstrations of browser or web-interface interactions as GIF files. It captures a real interface run and prepares the GIF for use in a pull request when required.

In plain words
What is it for?
Use it to record UI demos for pull requests, especially changes to visible product behaviour. It helps capture states, encode the recording, and publish the finished GIF through the specified asset workflow.
Why use it?
It provides visual evidence that a user-facing interface change works as described. It also keeps recordings consistent and tied to the code version they demonstrate.

Skill for Claude CodeCodex

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

This is singula-ai/alego's own configuration. It tells Claude Code and Codex how to work on alego itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything alego configures →

Reuse

Borrowing it

Nothing to install: this file belongs to singula-ai/alego. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/singula-ai/alego/main/.agents/skills/record-browser-gif/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/singula-ai/alego

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 record-browser-gif

README.md
[![agentmods](https://agentmods.dev/badge/skills/singula-ai/alego/record-browser-gif/github.svg)](https://agentmods.dev/skills/singula-ai/alego/record-browser-gif)
Your own site
<a href="https://agentmods.dev/skills/singula-ai/alego/record-browser-gif"><img src="https://agentmods.dev/badge/skills/singula-ai/alego/record-browser-gif/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 record-browser-gif

Your own site · 80×15
<a href="https://agentmods.dev/skills/singula-ai/alego/record-browser-gif"><img src="https://agentmods.dev/badge/skills/singula-ai/alego/record-browser-gif.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,551 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 $0.00111 $0.03551
Opus 5.5 $0.00044 $0.01420
Sonnet 5.5 $0.00022 $0.00710
Haiku 4.5 $0.00011 $0.00355

Measured 6d ago against content hash a72a7d37b6e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

record-browser-gif 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/encode_gif.py, scripts/test_encode_gif.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.

Origin

This is a copy

100% identical to record-browser-gif — 2 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.

.agents/skills/record-browser-gif/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Record Browser GIF

Produce a short, truthful UI demonstration as a local GIF, and — only when the task includes attaching it to a pull request — publish it through the attach workflow at the end of this skill. The available browser-control workflow remains preferred. Use Playwright Videos when that workflow supports continuous capture at higher frame rates; use the bundled encoder for trimming, playback speed, final hold, dimensions, and size.

The archived evidence-chain decision records why one storyboard comes from one isolated run and why publication revalidates both the artifact and the demonstrated pull-request head.

Every GUI pull request includes a GIF

A pull request that changes product-user-visible GUI behavior MUST include a demonstration GIF recorded with this skill and embedded in the pull request body via the attach workflow.

The recording itself is part of the evidence: use a real server booted from that pull request's branch tree, a real API key, and real model rounds. Never substitute fixture queries, mock transports, synthetic event injection, or test-only hooks unless the user explicitly asked for a fixture recording. Next to the embed, state the exact demonstrated commit SHA, the tree and origin that served it, any mode flags or browser-state exceptions, and whether a real model round ran, so reviewers know exactly what the recording proves.

Keep recording separate from publication

  • Recording produces local video or screenshots and one .gif artifact only; it never mutates remote state.
  • Publication — attaching the GIF to a pull request body with gh --attach, or pushing it to an assets branch and embedding its URL where attach cannot apply — is the separate final step, performed only when the task includes attaching the GIF to a pull request. It never touches the pull request's own branch.
  • Preserve the requested recording conditions. A real-server or real-API demo must not use fixture queries, mock transports, synthetic event injection, or test-only hooks. If credentials or the server are unavailable, report that limitation instead of substituting a fixture.
  • Never read or expose credential values. Use the application's normal configuration path and a benign demonstration prompt.

Read the full file on GitHub · 173 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. 6d ago Changed a72a7d37b6e9
  2. 26d ago Changed b2de7895fdd5
  3. 1mo ago Changed · +39 lines · +5 tokens per session 0265192e724f
  4. 1mo ago Changed · +23 lines · +7 tokens per session de8d75a3a65b
  5. 1mo ago First seen · 111 lines · 99 tokens per session scan A 23844032be18

Subscribe to this mod's changes

record-browser-gif is a skill published in the GitHub repository singula-ai/alego (109 stars, last pushed 3d ago), licensed MIT. It adds 111 tokens to every session and 3,551 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to record-browser-gif, differing in 2 lines, and is treated as a copy.

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