Skills

Proof Video

Capture, edit, inspect, and attach real ClawHub browser proof directly to a GitHub PR...

Install

npx skills add openclaw/clawhub --skill proof-video -g -a claude-code -y
Repository
openclaw/clawhub9.5k
Category
Git and review
Updated
3d ago
License
MIT
Context cost
Mediumabout 1,926 tokens
Runs scripts
No, instructions only

What it does

Capture, edit, inspect, and attach real ClawHub browser proof directly to a GitHub PR, with captions, focused zooms, and clearly separated before/after results.

Proof video

Adapted from OpenClaw's proof-video skill and PR evidence instructions. This adaptation uses ClawHub's existing real-browser proof runner; OpenClaw's mocked Gateway template and repo-specific helper imports do not apply here.

Establish the claim

Before recording, name the behavior, exact source refs, local URL, fixture and expected visible result. Keep the same viewport, theme, account, data and interaction sequence for before/after comparisons. Feature proof can omit an impossible baseline, with the reason stated.

Use a real ClawHub instance with the relevant local Convex code and fixture state. Use a real isolated browser on the current host; use Crabbox only when its environment is needed and available. Do not use HTML mockups, synthetic screenshots, intercepted success responses or hand-written product UI as proof. Seed through the supported local fixture workflow. Never use the operator's personal Gateway for cross-system proof.

For a ClawHub → OpenClaw flow, record the actual admin action, security pending state, catalog lookup, installation and meaningful live tool result. State separately which scan/provider checks are real, simulated or untested. A queued job is not a completed scan, and discovery is not account-level authorization.

Capture

Keep captures, scripts, cue times and private browser state in separate ignored local directories. Select individual inspected media files for upload; never upload the entire artifact directory or browser state.

Use the existing runner with a task-specific scenario:

bun run proof:ui -- --runner local --mode feature \
  --scenario .artifacts/proof-scenarios/example.pw.ts \
  --candidate-url http://127.0.0.1:3000
Read the whole SKILL.md on GitHub

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