Borrowing it
Nothing to install: this file belongs to AnEntrypoint/freddie. 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/AnEntrypoint/freddie/main/.agents/skills/record-browser-gif/SKILL.mdgit clone --depth 1 https://github.com/AnEntrypoint/freddieWrote 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/anentrypoint/freddie/record-browser-gif)<a href="https://agentmods.dev/skills/anentrypoint/freddie/record-browser-gif"><img src="https://agentmods.dev/badge/skills/anentrypoint/freddie/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.
<a href="https://agentmods.dev/skills/anentrypoint/freddie/record-browser-gif"><img src="https://agentmods.dev/badge/skills/anentrypoint/freddie/record-browser-gif.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 | $0.00099 | $0.02536 |
| Opus 5.5 | $0.00040 | $0.01014 |
| Sonnet 5.5 | $0.00020 | $0.00507 |
| Haiku 4.5 | $0.00010 | $0.00254 |
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 1mo 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.
This is a copy
94% identical to record-browser-gif — 134 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.
How it starts
The opening of the file, as written. The whole thing — 111 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 assets-branch workflow at the end of this skill. Use the browser-control skill for interaction and the bundled encoder for repeatable timing, dimensions, and size.
The evidence-chain decision owns 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 assets-branch 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 frame images and one local
.gifartifact only; it never mutates remote state. - Publication — pushing the GIF to an assets branch and embedding it in a pull request body — 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.
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.
- 1mo ago First seen · 111 lines · 99 tokens per session scan A af8258a63ac4
record-browser-gif is a skill published in the GitHub repository AnEntrypoint/freddie (1 stars, last pushed 5d ago), licensed MIT. It adds 99 tokens to every session and 2,536 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to record-browser-gif, differing in 134 lines, and is treated as a copy.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
interactive-login
Log a CLI in with a browser/device-code flow (aws sso, gh, glab, gcloud, …) and save the result to the keychain so later commands can request it through execute.credentials.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
azure-messaging-webpubsub-java
Build real-time web applications with Azure Web PubSub SDK for Java. Use when implementing WebSocket-based messaging, live updates, chat applications, or server-to-client push notifications.
cua-driver
Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.
open-design-browser
Inspect and exercise local HTML design artifacts and library prototype previews with the existing agent-browser CLI, including screenshots, interaction checks, and rendered DOM snapshots. Use when rendered evidence helps author or review a design; excludes browser installation, remote services, and unrelated browser…