proof-video
clawdbot/clawdhub/.agents/skills/proof-video/SKILL.md
Capture, edit, inspect, and attach real ClawHub browser proof directly to a GitHub PR, with captions, focused zooms, and clearly separated before/after results.
Skill9.5k starsChanged 2 days ago
What's in it
- Proof video
- Establish the claim
- Capture
- Edit: context → action/wait → result
- Inspect before publishing
- Attach directly to the PR
--- name: proof-video description: 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](https://github.com/openclaw/openclaw/blob/main/.agents/skills/proof-video/SKILL.md) and [PR evidence instructions](https://github.com/openclaw/openclaw/blob/main/AGENTS.md). 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: ```sh bun run proof:ui -- --runner local --mode feature \ --scenario .artifacts/proof-scenarios/example.pw.ts \ --candidate-url http://127.0.0.1:3000 ``` Use `--mode before-after`, `--baseline-url` and `--candidate-url` for paired proof. See `scripts/ui-proof-runtime.mjs` for the scenario contract and `specs/ui-proof.md` for runtime isolation. For a multi-app flow that needs a dedicated driver, use the existing Playwright dependency and `recordVideo` against the real services. Wait on asserted UI state, response or live runtime event, not arbitrary sleeps. Include loading, empty, typical, dense, error and permission states when relevant; explain omitted states. Capture desktop and mobile for responsive changes. Screenshot capture must not disturb an active recording; use a separate context when necessary. For sharp zooms, verify the raw video resolution and actual content scale. OpenClaw observed Chromium padding with emulated `deviceScaleFactor: 2`; native `--force-device-scale-factor=2` with context emulation at 1 avoided it. Verify this on the installed browser before relying on it; do not blindly double dimensions. A normal-scale recording is preferable to a padded or clipped one. ## Edit: context → action/wait → result Preserve the raw recording. Render to a new file using the system `ffmpeg`/`ffprobe` and keep a small cue sheet with timestamps on the raw timeline. - Burn concise captions into the MP4. GitHub's player does not display separate subtitle tracks. Say what the viewer sees and what it proves; keep captions to one or two lines. - Establish the page and initiating action at normal speed. Accelerate only idle waiting, visibly labeled with its multiplier. Return to 1× before meaningful transitions and the result. Keep latency measurements at real speed. - Use a smooth, focused 1.5–2× zoom when a small control/result matters. Keep its label and surrounding context in frame. Measure the actual target; do not invent a highlight that hides the underlying UI. - Hold the decisive result for several seconds. Captions must not cover it. - Keep the failed baseline explicitly labeled **BEFORE — expected failure** and the passing candidate **AFTER — successful result**. Lead the PR with the successful candidate and disclose any required companion fix beside it. Never put a failure clip beneath an undifferentiated “passed” heading. - Caption PNG overlays rendered with the existing browser or image tooling work when `ffmpeg` lacks `drawtext`/`libass`. Use text-safe DOM assignment when rendering captions. Do not redraw product pixels. - Remap caption/zoom times after speed changes. Normalize variable-frame-rate native captures to a separate constant-frame-rate copy. Zoom rendering must preserve intended frame count and duration; dynamic crop-size expressions alone do not animate reliably. For a browser WebM that needs only compatible encoding: ```sh ffmpeg -n -i recording.webm -c:v libx264 -pix_fmt yuv420p \ -movflags +faststart proof.mp4 ``` This is transcoding, not captioning or verification. Keep authored editing scripts local unless a separate tooling change is requested. ## Inspect before publishing Open every final screenshot and inspect every video across its full timeline. Check full-size frames at the initiating action, caption changes, zoom holds, speed boundaries and final result. Confirm the actual state, readable text, framing, timing, privacy and source identity. A contact sheet helps inspect the timeline but does not replace full-size decisive frames. Re-capture or re-edit anything misleading, blank, clipped or stale. Record exact before/after refs, commands, real runtime configuration, assertions and limitations in the PR. Do not claim a capture passed merely because its file exists. Keep failing baseline evidence separate from the successful acceptance result. ## Attach directly to the PR Use GitHub's native attachments. **Never commit screenshots, videos, generated proof reports, or `.artifacts/` output to any product repository branch**, including `qa-artifacts`. The old `proof:publish` branch-upload helper is retired. Check `gh pr comment --help` for `--attach`. Write the exact comment to an ignored Markdown file and use: ```sh gh pr comment 123 --repo openclaw/clawhub \ --body-file .artifacts/proof/comment.md \ --attach .artifacts/proof/after.mp4 \ --attach '.artifacts/proof/before.png#Before' \ --attach '.artifacts/proof/after.png#After' ``` An image reference already in the body is rewritten to its uploaded URL; otherwise attachments are appended. For video, use `.mp4`, `.mov` or `.webm`, never a `#alt` suffix. Put the returned video URL on its own bare line so GitHub renders a player, not inside image Markdown. The CLI accepts videos up to 100 MB; GitHub's account limit may be lower. Assets cannot be deleted after upload, so inspect/sanitize first. Prefer updating the existing proof comment after reading it. `--edit-last` is safe only after verifying the last comment by the authenticated author is the intended target. Otherwise upload a new proof comment and update the specific old comment to point to it. Reuse existing uploaded asset URLs rather than uploading duplicates. If `gh` lacks `--attach`, update the official CLI or use GitHub's user-attachments upload API as documented by OpenClaw. Resolve credentials through the approved process, keep tokens out of logs/argv, and verify the returned asset URL. Do not fall back to a Git branch or release asset. If direct attachment is blocked, retain the local media and report the precise failed operation; do not claim publication. Put a concise validation report in the PR comment itself. Preserve raw logs/cue files locally; share non-media diagnostics only through an explicitly authorized artifact destination. Verify the posted comment contains the intended image/video URLs and, when browser control is available, inspect its rendered players. Return the direct proof-comment link.
More agent context in clawdbot/clawdhub
64 other files this repository gives its agents, the first 60 shown.
AGENTS.md
Skill
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- clawhub-pr-maintainer.agents/skills/clawhub-pr-maintainer/SKILL.md
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- convex-design.agents/skills/convex-design/SKILL.md
- convex-docs.agents/skills/convex-docs/SKILL.md
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- convex-env.agents/skills/convex-env/SKILL.md
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- convex-improve-convex-plugin.agents/skills/convex-improve-convex-plugin/SKILL.md
- convex-insights.agents/skills/convex-insights/SKILL.md
- convex-launch-readiness.agents/skills/convex-launch-readiness/SKILL.md
- convex-migrate-rehearse.agents/skills/convex-migrate-rehearse/SKILL.md
- convex-migrate.agents/skills/convex-migrate/SKILL.md
- convex-migration-helper.agents/skills/convex-migration-helper/SKILL.md
- convex-monitor.agents/skills/convex-monitor/SKILL.md
- convex-optimize.agents/skills/convex-optimize/SKILL.md
- convex-performance-audit.agents/skills/convex-performance-audit/SKILL.md
- convex-quickstart.agents/skills/convex-quickstart/SKILL.md
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- convex-seed.agents/skills/convex-seed/SKILL.md
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- convex-ship.agents/skills/convex-ship/SKILL.md
- convex.agents/skills/convex/SKILL.md
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- openclaw-brand.agents/skills/openclaw-brand/SKILL.md
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Also found in one other repository
The same file, byte for byte, in the weekly crawl of public GitHub.
- openclaw/clawhub9.5k
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