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.
Final review pass for a feature implementation. An agent skill from imbue-ai/sculptor.
$ npx skills add imbue-ai/sculptor --skill review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install imbue-ai/sculptor review --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/imbue-ai/sculptor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/review .claude/skills/review && 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 "review" agent skill from https://github.com/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/review into .claude/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", 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/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/reviewType 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 imbue-ai/sculptor --skill review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install imbue-ai/sculptor review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/sculptor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/review .agents/skills/review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review" agent skill from https://github.com/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/review into .agents/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", 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 imbue-ai/sculptor --skill review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install imbue-ai/sculptor review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/sculptor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/review .cursor/skills/review && 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 "review" agent skill from https://github.com/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/review into .cursor/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", 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/imbue-ai/sculptor.git --path sculptor/sculptor-workflow/skills/review--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 imbue-ai/sculptor --skill review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install imbue-ai/sculptor review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/sculptor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/review .gemini/skills/review && 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 "review" agent skill from https://github.com/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/review into .gemini/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", 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 imbue-ai/sculptor reviewInstalls 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 imbue-ai/sculptor --skill review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/imbue-ai/sculptor.git skills-src && mkdir -p .github/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/review .github/skills/review && 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 "review" agent skill from https://github.com/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/review into .github/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", 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 imbue-ai/sculptor --skill review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install imbue-ai/sculptor review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/sculptor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/review .opencode/skills/review && 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 "review" agent skill from https://github.com/imbue-ai/sculptor/tree/main/sculptor/sculptor-workflow/skills/review into .opencode/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", 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.
reviewFinal review pass for a feature implementation. An agent skill from imbue-ai/sculptor.
Review is an agent skill from imbue-ai/sculptor. Final review pass for a feature implementation. Verifies the diff satisfies the spec's requirements, that tests were written and pass, and invokes the repo's configured code-review skill. Writes review.md alongside the spec, then offers options for handling findings. Input: a feature slug (or seed message from /build with paths).
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Code review. The repository describes itself as: Build product with grounded, parallel coding agents. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f847102. 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:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From 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.
Review loads about 2.8k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 1,453 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 imbue-ai/sculptor at commit f847102, republished under its MIT licence (© imbue-ai). 1,453 words, ~2,769 tokens.
.claude/skills/review/SKILL.md (or your agent's skills folder).Final review pass. You read the spec, architecture, and plan; walk
the diff to verify requirements are addressed and tests were written;
re-run the test suite to confirm everything passes; invoke the repo's
configured code-review skill; and write review.md with the findings.
You do not fix anything yourself. The user decides what to do with the findings.
Before doing anything else, rename this agent to "Review" via the
/sculptor:sculpt-cli skill.
Most of this skill runs autonomously (Steps 1-8). A Q&A loop only kicks in if the user picks Address findings in this tab at Step 9's finalize. The rules below apply to that loop and to any other turn where you ask the user a question with your question tool (including the finalize question itself).
Every turn in a Q&A loop MUST end by asking the user a question with your question tool. This is the single rule that determines whether the turn succeeded. If you end a turn without it, you have stopped silently and the user has nothing to respond to.
The ritual holds regardless of what happened earlier in the turn — research, fixing a finding, answering the user's question, long discussion. Every one of those ends by asking the user a question with your question tool.
One narrow exception: spawning a fixer agent. When the user picks "Spawn a fixer agent" at finalize and you spawn it, the spawning turn ends with text instructions rather than by asking the user a question. The workspace's "waiting for input" state must belong to the fixer agent, not to this one. The exception applies only to the spawn turn.
The user will often ask a question back, push back on a finding, or want to drill into a topic. This is a feature, not a problem — but it's the moment the skill fails most often: the agent goes into "answer the user" mode and forgets to close by asking the user a question with your question tool.
Handle it like this:
review.md to reflect anything new the conversation
surfaced — mark findings as resolved with commit references when
a fix has landed.Research does not excuse skipping the ritual.
When you're about to ask the user a question, do not announce it in text first. Just make the call.
Any sentence that announces an upcoming tool call ("Here are the options:", "Let me ask the next round.", "A few more questions.") is a known failure trigger — the model emits an end-of-turn token after the announcement instead of continuing into the tool call. Options, questions, and choices go INSIDE the tool call.
Context about prior state ("I marked REQ-XYZ-3 as resolved in
review.md after commit abc1234.") is fine. Announcements about the
next action are not.
Provide 1-4 concrete options per question. Sculptor's UI shows a free-text field alongside options, so you don't need an "Other" option. For genuinely open-ended questions, omit options entirely.
One sharp question beats four padded ones.
Check for .sculptor/code.md, .sculptor/testing.md, and
.sculptor/docs.md. If any is missing, invoke /sculptor-workflow:setup-repo
immediately.
Read them. Key sections:
.sculptor/code.md — pre-commit verification commands, branch
conventions..sculptor/testing.md — test framework, end-to-end test
command/skill, test strategy..sculptor/docs.md — spec location pattern (for resolving the
slug into paths) and the Code Review section, which names the
skill to invoke for the code-review pass.$ARGUMENTS may contain a bare slug or seed markers from /sculptor-workflow:build:
Slug: feature slugSpec path: absolute or repo-relativeArchitecture path: absolute or repo-relativePlan folder: absolute or repo-relativeDiff range: git diff range, defaults to origin/main...HEADIf no slug is provided, ask with your question tool, offering glob-discovered slugs.
Resolve all paths from the slug + docs config if any are missing from the seed.
If origin/main doesn't exist, or no commits are ahead of it, use
your question tool to ask the user what base reference to compare against.
REQ-* ID and every User Scenario.00_overview.md — the task index and phase rationale.Run git diff <base>...<head> to see the full diff. For large diffs,
also run git diff --stat <base>...<head> to list changed files,
and prioritise files most relevant to the spec.
For each REQ-* in the spec (or each Requirement bullet, if not
numbered):
path/to/file.py:line-range.For each User Scenario:
For each architectural decision in architecture.md:
Capture all of this in structured notes — you'll write it to
review.md in Step 8.
git diff --stat <base>...<head> and filter to test paths
(using the Test location: field inside .sculptor/testing.md's
Test Framework section)..sculptor/code.md. Iterate until it
passes or until you have a concrete failure to report..sculptor/testing.md's
Test Writing or Test Debugging sections, if present).review.md if any tests are skipped, marked
xfail, or pending without justification.Do NOT block on a failing test by stopping the review. Capture the
failure in review.md and continue.
Read the Code Review section of .sculptor/docs.md.
Skill: /code-review-checklist):
Invoke that skill via the Skill tool. Pass the diff range and the
spec path (as the stated goal). Capture its output.review.md that no
code-review skill is configured for this repo.review.mdPath: same directory as the spec.
<spec-dir>/review.md<spec-dir>/<slug>.review.mdStructure:
# <Feature> — Review
## Summary
<2-4 bullets: did the implementation meet the spec? top 1-3 things to
address before merging? anything that should block? "No issues found"
is valid if the diff is clean>
## Requirements Coverage
| Requirement | Status | Evidence |
|-------------|--------|----------|
| REQ-XXX-1 | Covered | `path/to/file.py:42-58` |
| REQ-XXX-2 | Partial | <what's missing> |
| REQ-XXX-3 | Gap | <what's missing> |
| REQ-XXX-4 | Not addressed | <why> |
## User Scenarios
For each User Scenario in the spec, one paragraph: did the diff
deliver it? Was it covered by a test?
## Test Coverage
- Tests added: <list>
- Test suite status: <pass / specific failure>
- Integration tests run: <list + status>
- Anything skipped / `xfail` / pending: <list, with justification or
flag>
## Code Review Findings
<If a code-review skill ran, paste its output here verbatim. If no
skill is configured, write: "No code-review skill configured in
.sculptor/docs.md — section skipped. Consider authoring a repo
review skill and configuring it.">
## Overall Assessment
<short, plain summary. Is this ready to merge? What's the biggest
risk? What needs follow-up?>Show the path in a code block.
Emit the finalizing question on its own turn with these options:
review.md. You
can edit code in this tab, run tests, commit fixes. Each fix
references a specific finding from review.md.Fix)
seeded with review.md and the list of findings to address. Use
/sculptor:sculpt-cli to spawn; end the spawn turn with text
instructions (no question).Act on the user's choice.
Enter a Q&A loop following the ritual at the top of this skill. Each turn:
review.md to mark the finding as Resolved with a
reference to the commit hash.review.md, continue, and surface it in the Summary.mcp__sculptor__ask_user_question if it's available, otherwise the built-in AskUserQuestion. Never ask in plain text: only the tool call puts the workspace into the "waiting for input" state that alerts the user.© imbue-ai, 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 sculptor/sculptor-workflow/skills/review of imbue-ai/sculptor.
Open the folder on GitHubat commit f847102
Review 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 |
|---|---|---|---|---|---|---|
| Review this skillimbue-ai/sculptor | 238 | — | ~2.8k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Backend Code Reviewlangflow-ai/langflow | 155k | — | ~3.5k | Automated safety check: Notes | MIT | |
| Mole Bug Patternstw93/Mole | 70k | — | ~2k | Automated safety check: Pass | GPL-3.0 | |
| Backend Code Reviewlanggenius/dify | 158k | — | ~676 | Automated safety check: Pass | Custom licence |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
langflow-ai/langflow
Review backend code for quality, security, maintainability, and best practices based on established checklist rules.
tw93/Mole
A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.
langgenius/dify
Reviews backend code under api/ for concrete, reproducible defects, routes to rule packs for architecture, schema, repositories and SQLAlchemy, and ranks findings from P0 to P3.
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
imbue-ai/sculptor
QA the Sculptor mobile web UI on a real iOS Simulator, driven headlessly from a Mac.
imbue-ai/sculptor
Compare React component render counts between origin/main and the current branch during a user-defined UI scenario (e.g.
imbue-ai/sculptor
Post a one-line PR announcement to a Slack channel, and mark it :merged: when the PR merges.
imbue-ai/sculptor
Run Claude programmatically against collections of files in the codebase.
imbue-ai/sculptor
Build or modify a Sculptor extension — a runtime ESM module loaded into the Sculptor UI.
imbue-ai/sculptor
Review a set of code changes against Sculptor's review categories and produce a markdown findings table.
Categories
Final review pass for a feature implementation. An agent skill from imbue-ai/sculptor. Review is an agent skill from imbue-ai/sculptor. Final review pass for a feature implementation.
Review fits situations like: tasks that involve Code review.
Run `npx skills add imbue-ai/sculptor --skill review -a claude-code`. Or copy the skill folder (sculptor/sculptor-workflow/skills/review in imbue-ai/sculptor) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add imbue-ai/sculptor --skill review -a codex`. Or copy the skill folder (sculptor/sculptor-workflow/skills/review in imbue-ai/sculptor) into .agents/skills/review 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 imbue-ai/sculptor --skill review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.
Going by SKILL.md and its folder, Review needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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.
Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k 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 Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 155k stars) and Mole Bug Patterns (tw93/Mole, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
imbue-ai (a GitHub organization) maintains it in imbue-ai/sculptor, which has 238 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 9, 2026.
Source: imbue-ai/sculptor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.