Pr Review
Skill by FAQ-com-chatbot-WhatsApp · updated · ★ 3
Review pull requests against team standards and best practices Pr Review is published by FAQ-com-chatbot-WhatsApp on GitHub.
Last commit 200 days ago
No licence found, so reuse rights are unclear
Clear description, installs from GitHub, original repository
Not checked yet. What we check
Install Pr Review
Built from the published package, never by AIgit clone --depth 1 https://github.com/FAQ-com-chatbot-WhatsApp/faqchatbot /tmp/faqchatbot && mkdir -p ~/.claude/skills && cp -r /tmp/faqchatbot/frontend/.context/skills/pr-review ~/.claude/skills/pr-reviewRun in your terminal. Claude Code loads skills from ~/.claude/skills automatically.
git clone --depth 1 https://github.com/FAQ-com-chatbot-WhatsApp/faqchatbot /tmp/faqchatbot && mkdir -p ~/.gemini/antigravity-cli/skills && cp -r /tmp/faqchatbot/frontend/.context/skills/pr-review ~/.gemini/antigravity-cli/skills/pr-reviewAntigravity CLI loads skills from ~/.gemini/antigravity-cli/skills, or .agents/skills for one project.
Skills can run scripts on your machine. Some need an API key: check the README.
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Alternatives to Pr Review
All alternatives →Uploads a local file (screenshot, image, PDF, zip, video) to GitHub user-attachments, downloads GitHub user-attachments, and embeds local files in a PR, issue, or comment. Use when asked to "attach a screenshot to the PR", "add an image to the issue", "embed before/after screenshots", "attach this file", or "download this GitHub attachment". Powered by `gh-attach`.
Where new brain files go. Decision protocol for filing brain pages by primary subject, not by format or source. Reference for all brain-writing skills.
Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
Pull request finalization. Use when a change works and is about to be opened as a pull request, or when updating or continuing an existing one.
Scaffold a custom AI agent harness via `metaharness new {name} --template {id} --host {id}`. Defaults to DRY-RUN (no writes) unless --confirm is passed. Refuses to write to the calling repo root or anywhere inside it. Honors ADR-150 architectural constraint + ruflo's "destructive-action confirmation" pattern.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
Pr Review: common questions
How do I install Pr Review?
Run the command above to copy the skill into ~/.claude/skills/. Claude Code picks it up automatically.
Is Pr Review free?
The code is public, but no licence file was found, so check the repository before commercial use.
Is Pr Review safe to use?
It scores 24 of 100. Grades: maintenance D, licence F, quality C. The security check has not run for it yet. Review the code before you install. How grades work.
What are alternatives to Pr Review?
Similar skills: gh-attach, repo-architecture, scikit-learn, pull-requests.
