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.
Review GitHub pull requests with Memtrace's local graph-backed review engine.
Install Memtrace Code Review
$ npx skills add syncable-dev/memtrace-public --skill memtrace-code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install syncable-dev/memtrace-public memtrace-code-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/syncable-dev/memtrace-public.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-code-review .claude/skills/memtrace-code-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 "memtrace-code-review" agent skill from https://github.com/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-review into .claude/skills/memtrace-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memtrace-code-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/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-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 syncable-dev/memtrace-public --skill memtrace-code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install syncable-dev/memtrace-public memtrace-code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/syncable-dev/memtrace-public.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-code-review .agents/skills/memtrace-code-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 "memtrace-code-review" agent skill from https://github.com/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-review into .agents/skills/memtrace-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memtrace-code-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 syncable-dev/memtrace-public --skill memtrace-code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install syncable-dev/memtrace-public memtrace-code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/syncable-dev/memtrace-public.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-code-review .cursor/skills/memtrace-code-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 "memtrace-code-review" agent skill from https://github.com/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-review into .cursor/skills/memtrace-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memtrace-code-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/syncable-dev/memtrace-public.git --path plugins/memtrace-skills/skills/memtrace-code-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 syncable-dev/memtrace-public --skill memtrace-code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install syncable-dev/memtrace-public memtrace-code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/syncable-dev/memtrace-public.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-code-review .gemini/skills/memtrace-code-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 "memtrace-code-review" agent skill from https://github.com/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-review into .gemini/skills/memtrace-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memtrace-code-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 syncable-dev/memtrace-public memtrace-code-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 syncable-dev/memtrace-public --skill memtrace-code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/syncable-dev/memtrace-public.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-code-review .github/skills/memtrace-code-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 "memtrace-code-review" agent skill from https://github.com/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-review into .github/skills/memtrace-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memtrace-code-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 syncable-dev/memtrace-public --skill memtrace-code-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 syncable-dev/memtrace-public memtrace-code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/syncable-dev/memtrace-public.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-code-review .opencode/skills/memtrace-code-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 "memtrace-code-review" agent skill from https://github.com/syncable-dev/memtrace-public/tree/main/plugins/memtrace-skills/skills/memtrace-code-review into .opencode/skills/memtrace-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memtrace-code-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.
Facts
- Skill name
memtrace-code-review- GitHub stars
- 487
- Token cost
- ~818 tokens
- SKILL.md length
- 398 words
- Files
- 1
- Skills in repo
- 27
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Review GitHub pull requests with Memtrace's local graph-backed review engine.
- Works in 5 steps: If the user gives a GitHub PR URL and… → If the user explicitly asks to publish,… → Use graphMode: "strict" by default. Use… → …
- The user asks to review a GitHub pull request
- SKILL.md covers Overview, Default Flow, Example User Prompts and Guardrails, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memtrace Code Review is an agent skill from syncable-dev/memtrace-public. Review GitHub pull requests with Memtrace's local graph-backed review engine. Use when the user asks to review a GitHub pull request, run Memtrace code review, post Memtrace review comments, create a PR with a review step, or publish local graph-backed review findings to GitHub. Prefer the reviewgithubpr MCP tool over manual diff inspection. Do not use for local working-tree diffs — that is the built-in /code-review; this skill is for GitHub PRs via reviewgithubpr.
Its SKILL.md is about 820 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, Pull requests and MCP servers. It works with GitHub. The repository describes itself as: Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.
When your agent uses it
- The user asks to review a GitHub pull request
- Run Memtrace code review
- Post Memtrace review comments
- Create a PR with a review step
Example prompts
- “/memtrace-code-review”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- If the user gives a GitHub PR URL and asks to inspect or review it, call review_github_pr with post: false.
- If the user explicitly asks to publish, post comments, or complete the PR review, call review_github_pr with post: true.
- Use graphMode: "strict" by default. Use graphMode: "off" only when the user asks to benchmark non-graph behavior or the local graph is…
- Default to minSeverity: "high" and maxComments: 5 when posting. For previews, maxComments: 10 is acceptable.
- Pass repoRoot when the PR checkout is not the current working directory. Pass repoId when the indexed repository id is known.
What it can do on your machine
Read from SKILL.md and the folder at commit 3a3084d. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Memtrace Code Review loads about 818 tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 398 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.
Safety
Auto-check passed
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.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 398 words (~818 tokens).
“Use Memtrace's local-first PR review workflow. The agent should call the review_github_pr MCP tool so review runs against the developer's local indexed graph, AST detectors, YAML rule pack, and review policy. GitHub is used for PR context and optional comment…”
- name
- memtrace-code-review
Files
Just SKILL.md in plugins/memtrace-skills/skills/memtrace-code-review of syncable-dev/memtrace-public.
Open the folder on GitHubat commit 3a3084d
Compare with similar skills
Memtrace Code 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 |
|---|---|---|---|---|---|---|
| Memtrace Code Review this skillsyncable-dev/memtrace-public | 487 | — | ~818 | Automated safety check: Pass | Custom licence | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| GitHub Review Iterationprisma/orm | 48k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| PR Review State Fetchprisma/orm | 48k | — | ~767 | Automated safety check: Pass | Apache-2.0 | |
| PR Finalize Reviewmicrosoft/garnet | 12k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Fastlane Pull Request Reviewfastlane/fastlane | 42k | — | ~550 | Automated safety check: Pass | MIT |
Similar skills
- Official
GitHub Review Iteration
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
- Official
PR Review State Fetch
prisma/orm
Fetches a pull request's canonical review state as JSON, validates it, and renders markdown, a text summary and triage target files from it using bundled scripts.
- Official
PR Finalize Review
microsoft/garnet
Checks that a pull request's title and description match its implementation and reviews the code for Garnet best practices, reporting findings without posting them.
Fastlane Pull Request Review
fastlane/fastlane
Reviews a fastlane pull request against its linked issue and the project guides, separating blocking from non-blocking findings and handling vulnerabilities privately.
Pull Request Reviewer for daisyUI
saadeghi/daisyui
Reviews open pull requests in the daisyUI repository using read-only GitHub data and isolated base-versus-PR checks, then writes a merge verdict report.
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Keep the Memtrace index fresh while editing by watching a repo for live, incremental re-indexing.
Memtrace Decision Memory
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Use Cortex decision memory through the normal Memtrace MCP tools.
Memtrace Docs
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Use official hosted Memtrace documentation before guessing, web search, or stale local copies.
Related
Works with
Categories
Questions about Memtrace Code Review
What does Memtrace Code Review do?
Review GitHub pull requests with Memtrace's local graph-backed review engine. Memtrace Code Review is an agent skill from syncable-dev/memtrace-public. Review GitHub pull requests with Memtrace's local graph-backed review engine.
When should I use Memtrace Code Review?
Memtrace Code Review fits situations like: the user asks to review a GitHub pull request; run Memtrace code review; post Memtrace review comments; create a PR with a review step.
How do I install Memtrace Code Review in Claude Code?
Run `npx skills add syncable-dev/memtrace-public --skill memtrace-code-review -a claude-code`. Or copy the skill folder (plugins/memtrace-skills/skills/memtrace-code-review in syncable-dev/memtrace-public) into .claude/skills/memtrace-code-review in your project. Claude Code loads it when a task matches its description.
How do I install Memtrace Code Review in Codex?
Run `npx skills add syncable-dev/memtrace-public --skill memtrace-code-review -a codex`. Or copy the skill folder (plugins/memtrace-skills/skills/memtrace-code-review in syncable-dev/memtrace-public) into .agents/skills/memtrace-code-review in your project. Codex loads it when a task matches its description.
Can I use Memtrace Code Review in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add syncable-dev/memtrace-public --skill memtrace-code-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/memtrace-code-review, .gemini/skills/memtrace-code-review, .github/skills/memtrace-code-review and .opencode/skills/memtrace-code-review in your project.
What does Memtrace Code Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Memtrace Code Review is instructions for the agent only.
Does Memtrace Code Review access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Memtrace Code Review safe to install?
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.
What licence does Memtrace Code Review use?
Memtrace Code Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Memtrace Code Review use?
About 818 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Memtrace Code Review?
Skills that share tags, products or a category with Memtrace Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), GitHub Review Iteration (prisma/orm, 48k stars), PR Review State Fetch (prisma/orm, 48k stars) and PR Finalize Review (microsoft/garnet, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memtrace Code Review?
syncable-dev (a GitHub organization) maintains it in syncable-dev/memtrace-public, which has 487 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 8, 2026.
Source: syncable-dev/memtrace-public on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.