LISA: Skill for Claude Code

.claude/skills/cloud-screencast/SKILL.md

cloud-screencast is a skill for Claude Code from oratis/LISA. It costs 154 tokens per session (3,346 once invoked), scanned D, original, MIT.

A tool for recording repeatable product-demo videos of a web app on a temporary Google Cloud computer. It opens the app in Chrome, follows scripted interactions, records the screen, and cuts the result into a shareable clip.

In plain words
What is it for?
Use it to deploy a web app on a temporary cloud machine, drive its interface with Playwright, record the browser, and produce a social-ready demo video. Delete the cloud machine after downloading the recording to stop further charges.
Why use it?
It avoids personal data, inconsistent screen sizes, and accidental actions that can appear in recordings made on a developer’s computer. The scripted recording can be repeated until the take is right.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is oratis/LISA's own configuration. It tells Claude Code how to work on LISA 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 LISA configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is APP_START = <command that serves the UI, e.g. node dist/cli.js serve --web --port 5757>.

Reuse

Borrowing it

Nothing to install: this file belongs to oratis/LISA. 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/oratis/LISA/main/.claude/skills/cloud-screencast/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/oratis/LISA

Made for: Claude Code.

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 cloud-screencast

README.md
[![agentmods](https://agentmods.dev/badge/skills/oratis/lisa/cloud-screencast/github.svg)](https://agentmods.dev/skills/oratis/lisa/cloud-screencast)
Your own site
<a href="https://agentmods.dev/skills/oratis/lisa/cloud-screencast"><img src="https://agentmods.dev/badge/skills/oratis/lisa/cloud-screencast/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 cloud-screencast

Your own site · 80×15
<a href="https://agentmods.dev/skills/oratis/lisa/cloud-screencast"><img src="https://agentmods.dev/badge/skills/oratis/lisa/cloud-screencast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,346 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 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 $0.00154 $0.03346
Opus 5.5 $0.00062 $0.01338
Sonnet 5.5 $0.00031 $0.00669
Haiku 4.5 $0.00015 $0.00335

Measured 2mo ago against content hash 4b0c44d77a6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade D, and why

cloud-screencast scanned grade D with 2 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.

The scan reads SKILL.md. This mod also ships 5 executable files (reference/edit.sh, reference/music.sh, reference/setup.sh, …), 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

ssh ... "mkdir -p ~/.app && cat > ~/.app/config.env && chmod 600 ~/.app/config.env"

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

# each retake starts with: rm -rf ~/.app && cp -r ~/.app-pristine ~/.app
.claude/skills/cloud-screencast/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

cloud-screencast — reproducible UI demo videos on a throwaway VM

Records a web UI on a headless cloud box instead of the user's desktop. You get a pristine app state, a chosen viewport, no personal data in frame, and a scripted take you can re-run until it's right — none of which is true of a hand-recorded local screen capture.

Cost + lifecycle: this creates a billable VM. Always tell the user it exists, and delete it when the recording is downloaded (§8). An e2-standard-4 left running is roughly $95/month.


Config

Fill once per project, then run.

PROJECT   = <gcp-project-id>
ZONE      = <zone, e.g. us-central1-a>
VM        = <instance-name, e.g. app-record>
APP_REPO  = <git url of the app, or an npm package name>
APP_START = <command that serves the UI, e.g. node dist/cli.js serve --web --port 5757>
APP_URL   = <local url the browser opens, e.g. http://127.0.0.1:5757/>
SECRETS   = <local env file the app needs, e.g. ~/.app/config.env>

1. Pick the geometry first

Everything downstream depends on this, and getting it wrong means re-recording.

Chrome's --force-device-scale-factor=N divides the X display into CSS pixels:

CSS viewport = Xvfb resolution / DSF

Record at 2× the delivery resolution and downscale in post — supersampling is what makes small UI text look sharp in an H.264 clip.

Delivery Xvfb DSF CSS viewport Notes
1920×1080 2880×1620 2 1440×810 good default, 16:9
1920×1080 2560×1440 2 1280×720 tighter; short UIs get clipped
1080×1080 2160×2160 2 1080×1080 square, better mobile in-feed

Do not just use 1280×720. A real user's browser window is far taller than 720 CSS px, so a 720-tall viewport clips panels that never clip in real life — and the clipped part is usually the payoff (the final state, the confirm button). Probe the actual content height before committing (§4) and go taller if it overflows.

Keep integer DSF values. Fractional scale factors make Chrome's text rendering noticeably softer.

Read the full file on GitHub · 300 lines

Files

What ships with it

5 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. 2mo ago First seen · 300 lines · 154 tokens per session scan D 4b0c44d77a6c

Subscribe to this mod's changes

cloud-screencast is a skill published in the GitHub repository oratis/LISA (175 stars, last pushed 5d ago), licensed MIT. It adds 154 tokens to every session and 3,346 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it D with 2 findings (asks for root, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

cloud-screencast compared with skills from other repositories

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