feature-video

feature-video is a skill for Claude Code from gvkhosla/compound-engineering-pi. It costs 61 tokens per session (3,651 once invoked), scanned A, original, MIT.

A tool that records browser steps showing how a feature works, turns them into an MP4 video, uploads the video to GitHub, and places it in a pull request (PR) description.

In plain words
What is it for?
Use it to make feature demos for pull requests, resume an upload from an existing MP4 file, or record a visual walkthrough from a local development server.
Why use it?
Reviewers can see the change in action without setting up the branch or reading through every detail. It removes the manual work of recording, converting, uploading, and embedding the demo.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code; mentions Codex.

Part of the compound-engineering plugin — 41 skills, 1 MCP server shipped together

Good fit Use it to make feature demos for pull requests, resume an upload from an existing MP4 file, or record a visual walkthrough from a local development server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gvkhosla/compound-engineering-pi/feature-video
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 gvkhosla/compound-engineering-pi --skill feature-video
Clone the repo
git clone --depth 1 https://github.com/gvkhosla/compound-engineering-pi

Made for: Claude Code.

Or install compound-engineering, the plugin that ships this one along with the rest of its 41 skills, 1 MCP server.

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 feature-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/gvkhosla/compound-engineering-pi/feature-video.svg)](https://agentmods.dev/skills/gvkhosla/compound-engineering-pi/feature-video)
Your own site
<a href="https://agentmods.dev/skills/gvkhosla/compound-engineering-pi/feature-video"><img src="https://agentmods.dev/badge/skills/gvkhosla/compound-engineering-pi/feature-video.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,651 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 $0.00061 $0.03651
Opus 5 $0.00030 $0.01826
Sonnet 5 $0.00012 $0.00730
Haiku 4.5 $0.00006 $0.00365

Measured 8d ago against content hash d57c4fcd40a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

feature-video 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/compound-engineering/skills/feature-video/SKILL.md · 383 lines

How it starts

The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Video Walkthrough

Record browser interactions demonstrating a feature, stitch screenshots into an MP4 video, upload natively to GitHub, and embed in the PR description as an inline video player.

Prerequisites

  • Local development server running (e.g., bin/dev, npm run dev, rails server)
  • agent-browser CLI installed (load the agent-browser skill for details)
  • ffmpeg installed (for video conversion)
  • gh CLI authenticated with push access to the repo
  • Git repository on a feature branch (PR optional -- skill can create a draft or record-only)
  • One-time GitHub browser auth (see Step 6 auth check)

Main Tasks

1. Parse Arguments & Resolve PR

Arguments: $ARGUMENTS

Parse the input:

  • First argument: PR number, "current" (defaults to current branch's PR), or path to an existing .mp4 file (upload-only resume mode)
  • Second argument: Base URL (defaults to http://localhost:3000)

Upload-only resume: If the first argument ends in .mp4 and the file exists, skip Steps 2-5 and proceed directly to Step 6 using that file. Resolve the PR number from the current branch (gh pr view --json number -q '.number').

If an explicit PR number was provided, verify it exists and use it directly:

gh pr view [number] --json number -q '.number'

If no explicit PR number was provided (or "current" was specified), check if a PR exists for the current branch:

gh pr view --json number -q '.number'

If no PR exists for the current branch, ask the user how to proceed. Use the platform's blocking question tool (AskUserQuestion in Claude Code, request_user_input in Codex, ask_user in Gemini):

No PR found for the current branch.

1. Create a draft PR now and continue (recommended)
2. Record video only -- save locally and upload later when a PR exists
3. Cancel

If option 1: create a draft PR with a placeholder title derived from the branch name, then continue with the new PR number:

gh pr create --draft --title "[branch-name-humanized]" --body "Draft PR for video walkthrough"

Read the full file on GitHub · 383 lines

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. 8d ago First seen · 383 lines · 61 tokens per session scan A d57c4fcd40a0

Subscribe to this mod's changes

feature-video is a skill published in the GitHub repository gvkhosla/compound-engineering-pi (51 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 3,651 once invoked, about $0.0003 per session on Opus 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 2026-08-30.