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.
A skill your agent uses when about to build any feature, library, or system - searches GitHub and package registries for existing implementations to study, harvest patterns from, or use directly…
$ npx skills add NoobyGains/godmode --skill github-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NoobyGains/godmode github-search --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/NoobyGains/godmode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/github-search .claude/skills/github-search && 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 "github-search" agent skill from https://github.com/NoobyGains/godmode/tree/master/skills/github-search into .claude/skills/github-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-search", 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/NoobyGains/godmode/tree/master/skills/github-searchType 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 NoobyGains/godmode --skill github-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NoobyGains/godmode github-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NoobyGains/godmode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/github-search .agents/skills/github-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "github-search" agent skill from https://github.com/NoobyGains/godmode/tree/master/skills/github-search into .agents/skills/github-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-search", 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 NoobyGains/godmode --skill github-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NoobyGains/godmode github-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NoobyGains/godmode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/github-search .cursor/skills/github-search && 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 "github-search" agent skill from https://github.com/NoobyGains/godmode/tree/master/skills/github-search into .cursor/skills/github-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-search", 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/NoobyGains/godmode.git --path skills/github-search--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 NoobyGains/godmode --skill github-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NoobyGains/godmode github-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NoobyGains/godmode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/github-search .gemini/skills/github-search && 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 "github-search" agent skill from https://github.com/NoobyGains/godmode/tree/master/skills/github-search into .gemini/skills/github-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-search", 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 NoobyGains/godmode github-searchInstalls 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 NoobyGains/godmode --skill github-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NoobyGains/godmode.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/github-search .github/skills/github-search && 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 "github-search" agent skill from https://github.com/NoobyGains/godmode/tree/master/skills/github-search into .github/skills/github-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-search", 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 NoobyGains/godmode --skill github-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NoobyGains/godmode github-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NoobyGains/godmode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/github-search .opencode/skills/github-search && 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 "github-search" agent skill from https://github.com/NoobyGains/godmode/tree/master/skills/github-search into .opencode/skills/github-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "github-search", 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.
github-searchA skill your agent uses when about to build any feature, library, or system - searches GitHub and package registries for existing implementations to study, harvest patterns from, or use directly…
GitHub Search is an agent skill from NoobyGains/godmode. Use when about to build any feature, library, or system - searches GitHub and package registries for existing implementations to study, harvest patterns from, or use directly instead of building from scratch
Its SKILL.md is about 3.6k 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: The AI development framework that thinks before it builds. 36 composable skills for Claude Code, Cursor, Codex, and OpenCode. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 441103a. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are dot).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
GitHub Search loads about 3.6k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 1,045 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 NoobyGains/godmode at commit 441103a, republished under its MIT licence (© NoobyGains). 1,045 words, ~3,624 tokens.
.claude/skills/github-search/SKILL.md (or your agent's skills folder).Before writing a single line of code, determine whether someone on the planet has already solved the same problem and published the result. The strongest engineering move is recognizing when the work has already been done.
Core principle: Search GitHub repositories, package registries, and open-source ecosystems for existing implementations before building anything new. Harvest the best patterns from multiple projects. Attribute what you borrow. Respect licenses.
No exceptions. No workarounds. No shortcuts.
NO BUILDING FROM SCRATCH WITHOUT SEARCHING GITHUB FIRSTIf you have not queried public repositories for prior solutions, you are burning time on reinvention. Searched three different ways and found nothing applicable? Document what you searched and why nothing fit. Then build.
No excuses:
Mandatory when:
Particularly valuable when:
digraph github_search_gate {
rankdir=TB;
start [label="Task: Build something", shape=doublecircle];
search [label="SEARCH\nGitHub, registries,\nopen-source ecosystems", shape=box];
found [label="Relevant repos found?", shape=diamond];
evaluate [label="EVALUATE\nStars, maintenance,\ncode quality, license, fit", shape=box];
usable [label="Directly usable\nas a dependency?", shape=diamond];
install [label="INSTALL\nAdd as dependency", shape=box style=filled fillcolor=lightgreen];
harvestable [label="Harvestable\npatterns?", shape=diamond];
harvest [label="HARVEST\nExtract patterns, adapt\nto your codebase", shape=box style=filled fillcolor=lightyellow];
studyable [label="Useful as a\nlearning reference?", shape=diamond];
study [label="STUDY\nAbsorb architecture,\nthen build your own", shape=box];
build [label="BUILD FROM SCRATCH\nRecord: searched, nothing fit", shape=box];
record [label="Document search queries\nand findings", shape=box];
start -> search;
search -> found;
found -> evaluate [label="yes"];
found -> record [label="no"];
record -> build;
evaluate -> usable;
usable -> install [label="yes - strong fit"];
usable -> harvestable [label="no - too heavy\nor wrong scope"];
harvestable -> harvest [label="yes - valuable patterns"];
harvestable -> studyable [label="no - different paradigm"];
studyable -> study [label="yes - learn from it"];
studyable -> build [label="no - genuinely nothing relevant"];
}BEFORE building anything:
Cast a wide net across multiple channels before concluding nothing exists.
1. GitHub Search: github.com/search (code, repositories, topics)
2. GitHub Topics: github.com/topics/{topic}
3. WebSearch: "github {what you need} {tech stack}"
4. Package registries: npmjs.com, pypi.org, crates.io, rubygems.org, pkg.go.dev
5. Curated lists: awesome-{topic} repositories on GitHub
6. Framework ecosystems: official plugin/extension directoriesMulti-query discipline -- Never settle for a single search.
| Query Style | Example | Discovers |
|---|---|---|
| Literal name | tetris javascript | Exact matches for the concept |
| Problem statement | real-time collaboration websocket | Solutions targeting the same problem |
| Stack + pattern | vue authentication oauth2 | Technology-specific implementations |
| Synonym exploration | kanban board / task tracker / project manager | Same concept, different terminology |
| Curated collections | awesome-react / awesome-python | Community-vetted lists |
Minimum threshold before declaring "nothing exists": 3 distinct query formulations across at least 2 search channels.
digraph search_scope {
"What am I building?" [shape=diamond];
"Complete application?" [shape=diamond];
"Feature or module?" [shape=diamond];
"Search for full repos" [shape=box];
"Search for libraries + example repos" [shape=box];
"Search for code snippets + patterns" [shape=box];
"What am I building?" -> "Complete application?" [label="assess"];
"Complete application?" -> "Search for full repos" [label="yes"];
"Complete application?" -> "Feature or module?" [label="no"];
"Feature or module?" -> "Search for libraries + example repos" [label="yes"];
"Feature or module?" -> "Search for code snippets + patterns" [label="no"];
}When assessing discovered repositories, apply these signals systematically.
| Signal | Positive Indicator | Negative Indicator |
|---|---|---|
| Popularity | 100+ stars (community-validated) | 0-5 stars (unvetted) |
| Maintenance | Commit within 6 months | Dormant 2+ years |
| Community health | Active discussions, merged PRs | Hundreds of stale issues, no maintainer response |
| License | MIT, Apache 2.0, BSD | GPL (if you need permissive), no license at all |
| Code discipline | Tests, types, documentation, clean structure | No tests, no types, tangled code |
| Dependency footprint | Minimal, well-known dependencies | 50+ transitive deps, obscure packages |
| Documentation | Clear setup instructions, usage examples | Empty or outdated README |
| Relevance | Addresses 70%+ of your need | Tangentially related |
Minimum viable candidate: Has tests, has a license, updated within the past year, README explains usage.
For each candidate repository:
1. STARS & FORKS: Gauge community trust (100+ stars is a reasonable floor)
2. LAST COMMIT: Anything older than 18 months is a maintenance risk
3. OPEN ISSUES: High count with no maintainer replies signals abandonment
4. LICENSE FILE: No license means you cannot legally use it
5. TEST DIRECTORY: No tests means no confidence in correctness
6. README QUALITY: Poor docs usually correlate with poor internal structure
7. DEPENDENCIES: Check for bloated or unmaintained transitive deps
8. RELEASE CADENCE: Regular releases indicate ongoing investmentWhen a repository is not directly consumable but contains valuable patterns, extract intelligently.
FROM the repository, extract:
- Architectural patterns (how they organized the project)
- Algorithm implementations (how they solved the hard parts)
- Data models (how they structured domain entities)
- Interface designs (how they shaped the public API)
- Error handling approaches (how they manage edge cases)
- Test strategies (how they verify similar functionality)DO NOT copy-paste entire files.
DO extract the pattern and rewrite for your:
- Technology stack
- Naming conventions
- Design system (for UI code)
- Architectural layering
- Internal codebase conventions (use godmode:codebase-research to find them)In your codebase or documentation, note:
"Approach inspired by github.com/author/repo - [what was adapted]"Before using any code from a discovered repository, verify license compatibility.
| Your Project License | Compatible Source Licenses |
|---|---|
| MIT | MIT, BSD, Apache 2.0, ISC, Unlicense |
| Apache 2.0 | MIT, BSD, Apache 2.0, ISC, Unlicense |
| GPL | Any (GPL is permissive for incoming code) |
| Proprietary | MIT, BSD, Apache 2.0, ISC, Unlicense |
| Any | Never use: No license stated, AGPL (unless you comply fully) |
When uncertain: MIT and Apache 2.0 are safe for virtually any project. GPL requires your project to also be GPL. No license means all rights reserved by the author -- do not use.
For complex features, the optimal approach often combines patterns from several repositories.
Example: Building a real-time collaborative editor
Repo 1 (github.com/x/rich-editor): Polished prosemirror integration
-> Harvest: Editor initialization pattern, schema definition approach
Repo 2 (github.com/y/crdt-sync): Clean CRDT implementation for text
-> Harvest: Conflict resolution algorithm, operation transformation logic
Repo 3 (github.com/z/ws-rooms): WebSocket room management
-> Harvest: Connection lifecycle, reconnection strategy, presence tracking
Result: Your implementation synthesizes the strongest elements from 3 repos,
each designed by specialists in their domain.Report to the user:
Present discoveries as labeled options with links. Mark the recommendation with a star.
I found [N] relevant repositories. Here are the top candidates:
**A)** [repo-name] — [stars] stars, [license]
Link: [GitHub URL]
Extractable: [specific patterns/code worth harvesting]
Fit: [what percentage of your need it covers]
**B)** [repo-name] — [stars] stars, [license]
Link: [GitHub URL]
Extractable: [specific patterns/code worth harvesting]
Fit: [what percentage of your need it covers]
**C)** [repo-name] — [stars] stars, [license]
Link: [GitHub URL]
Extractable: [specific patterns/code worth harvesting]
Fit: [what percentage of your need it covers]
**D) Multi-source harvest** — Best patterns from all three ⭐ Recommended
From A: [what to extract]
From B: [what to extract]
From C: [what to extract]
Build from scratch: [what is unique to this project]
Why: Combines battle-tested patterns from [N] production systems
Check out the repos and pick A, B, C, or D.YoloMode exception: Reference and repository selection is ALWAYS interactive — even in YoloMode, present the options and let the user pick. These choices are too impactful to auto-select.
| Rationalization | Truth |
|---|---|
| "I can build it faster than studying someone else's code" | You will also maintain it indefinitely. Battle-tested code has fewer defects. |
| "Nothing exists for my exact scenario" | Did you try 3+ query variations? Partial matches are valuable. |
| "Open source quality is unreliable" | Repositories with 1k+ stars and test suites are often superior to what you will produce under time pressure. |
| "It is faster to just start writing" | You will spend hours solving problems someone already addressed. |
| "I want to avoid external dependencies" | Harvest patterns without adding dependencies. The knowledge is free. |
| "Licensing is too complicated" | MIT/Apache/BSD means free to use. A two-second check saves you from reinvention. |
| "It is only 100 lines, not worth researching" | Those 100 lines with edge-case coverage someone already wrote outperform your 100 lines without it. |
| "I will research if I get stuck" | Research FIRST. Getting stuck means you already burned time. |
Prohibited actions:
Required actions:
SEARCH -> EVALUATE -> DECIDE -> DOCUMENT -> BUILD
Search: 3+ queries across GitHub, registries, and curated lists
Evaluate: Stars, activity, tests, license, relevance
Decide: Use as dependency | Harvest patterns | Study as reference | Build from scratch
Document: What you searched, what you found, why you chose your path
Build: With patterns from research, not from assumptionsInvoked during:
Complementary skills:
© NoobyGains, 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 skills/github-search of NoobyGains/godmode.
Open the folder on GitHubat commit 441103a
GitHub Search 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 |
|---|---|---|---|---|---|---|
| GitHub Search this skillNoobyGains/godmode | 107 | — | ~3.6k | 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.
NoobyGains/godmode
A skill your agent uses when starting any conversation - establishes how to locate and invoke skills, mandating Skill tool usage before ANY response including clarifying questions
NoobyGains/godmode
A skill your agent uses when dispatching subagents, composing prompts for teammates, structuring handoff reports, or managing context boundaries between agents.
NoobyGains/godmode
A skill your agent uses when building ANY feature within an existing project - search the current codebase for existing patterns, conventions, similar implementations, and established approaches…
NoobyGains/godmode
A skill your agent uses when about to declare work done, fixed, or passing, before committing or opening PRs - demands executing verification commands and reading their output before making any…
NoobyGains/godmode
A skill your agent uses when implementing any substantial feature, multi-file modification, or architectural change - produces a plain-language walkthrough of every alteration so the developer can…
NoobyGains/godmode
A skill your agent uses when executing implementation plans with independent tasks in the current session
Works with
A skill your agent uses when about to build any feature, library, or system - searches GitHub and package registries for existing implementations to study, harvest patterns from, or use directly…. GitHub Search is an agent skill from NoobyGains/godmode.
GitHub Search fits situations like: about to build any feature; system - searches GitHub and package registries for existing implementations to study; harvest patterns from; use directly instead of building from scratch.
Run `npx skills add NoobyGains/godmode --skill github-search -a claude-code`. Or copy the skill folder (skills/github-search in NoobyGains/godmode) into .claude/skills/github-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NoobyGains/godmode --skill github-search -a codex`. Or copy the skill folder (skills/github-search in NoobyGains/godmode) into .agents/skills/github-search 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 NoobyGains/godmode --skill github-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/github-search, .gemini/skills/github-search, .github/skills/github-search and .opencode/skills/github-search in your project.
SKILL.md names no scripts, command-line tools or credentials: GitHub Search is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
GitHub Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k 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 GitHub Search: 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.
NoobyGains (a GitHub user) maintains it in NoobyGains/godmode, which has 107 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on March 9, 2026.
Source: NoobyGains/godmode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.