PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Capture, edit, inspect, and attach real ClawHub browser proof directly to a GitHub PR, with captions, focused zooms, and clearly separated before/after results.
$ npx skills add openclaw/clawhub --skill proof-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openclaw/clawhub proof-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/proof-video .claude/skills/proof-video && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "proof-video" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-video into .claude/skills/proof-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proof-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openclaw/clawhub --skill proof-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openclaw/clawhub proof-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/proof-video .agents/skills/proof-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "proof-video" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-video into .agents/skills/proof-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proof-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openclaw/clawhub --skill proof-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openclaw/clawhub proof-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/proof-video .cursor/skills/proof-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "proof-video" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-video into .cursor/skills/proof-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proof-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openclaw/clawhub.git --path .agents/skills/proof-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openclaw/clawhub --skill proof-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openclaw/clawhub proof-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/proof-video .gemini/skills/proof-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "proof-video" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-video into .gemini/skills/proof-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proof-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openclaw/clawhub proof-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openclaw/clawhub --skill proof-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/proof-video .github/skills/proof-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "proof-video" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-video into .github/skills/proof-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proof-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openclaw/clawhub --skill proof-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openclaw/clawhub proof-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/proof-video .opencode/skills/proof-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "proof-video" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/proof-video into .opencode/skills/proof-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proof-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
proof-videoCapture, 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 is an agent skill from openclaw/clawhub. Capture, edit, inspect, and attach real ClawHub browser proof directly to a GitHub PR, with captions, focused zooms, and clearly separated before/after results.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with GitHub. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.
Read from SKILL.md and the folder at commit a18bc74. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ghbunffmpegFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Proof Video loads about 2k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 1,018 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from openclaw/clawhub at commit a18bc74, republished under its MIT licence (© openclaw). 1,018 words, ~1,977 tokens.
.claude/skills/proof-video/SKILL.md (or your agent's skills folder).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.
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.
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://127.0.0.1:3000Use --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.
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.
ffmpeg lacks drawtext/libass. Use text-safe DOM assignment when rendering captions. Do not redraw product pixels.For a browser WebM that needs only compatible encoding:
ffmpeg -n -i recording.webm -c:v libx264 -pix_fmt yuv420p \
-movflags +faststart proof.mp4This is transcoding, not captioning or verification. Keep authored editing scripts local unless a separate tooling change is requested.
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.
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:
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.
© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/proof-video of openclaw/clawhub.
Open the folder on GitHubat commit a18bc74
Proof Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Proof Video this skillopenclaw/clawhub | 9.5k | — | ~2k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 296k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Update V8 Versionopeninterpreter/openinterpreter | 69k | 2 repos | ~845 | Automated safety check: Pass | Apache-2.0 |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
obra/superpowers
Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
openinterpreter/openinterpreter
Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.
onyx-dot-app/onyx
Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.
openclaw/clawhub
Creates and manages Axiom monitors and notifiers end to end through the v2 API, with scripts for each CRUD operation and a recommended create-validate-tune workflow.
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
openclaw/clawhub
Finds unused data in Axiom by analyzing query patterns, then deploys a cost dashboard and ingest monitors to keep spend under the contract limit.
openclaw/clawhub
Explores and queries OpenTelemetry metrics in Axiom MetricsDB, listing datasets, metrics and tags first and picking the right aggregation for each metric's type.
openclaw/clawhub
Investigates incidents and production problems with hypothesis-driven debugging, queries Axiom observability data when available, and keeps secrets out of commands and output.
openclaw/clawhub
Scaffolds evaluation suites for the Axiom AI SDK: eval files, scorers, flag schemas and axiom.config.ts, generated from plain descriptions of an AI capability.
Works with
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 is an agent skill from openclaw/clawhub. Capture, edit, inspect, and attach real ClawHub browser proof directly to a GitHub PR, with captions, focused zooms, and clearly separated before/after results.
Run `npx skills add openclaw/clawhub --skill proof-video -a claude-code`. Or copy the skill folder (.agents/skills/proof-video in openclaw/clawhub) into .claude/skills/proof-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openclaw/clawhub --skill proof-video -a codex`. Or copy the skill folder (.agents/skills/proof-video in openclaw/clawhub) into .agents/skills/proof-video in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/clawhub --skill proof-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/proof-video, .gemini/skills/proof-video, .github/skills/proof-video and .opencode/skills/proof-video in your project.
Going by SKILL.md and its folder, Proof Video needs the command-line tools its instructions call (gh, bun and ffmpeg).
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Proof Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Proof Video: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,489 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 6, 2026.
Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.