pr — agent-safety shannot, community, agent-safety, ide skills, developer-tools, human-in-the-loop, llm-agents, python, python3, sandbox, Claude Code

v1.0.0

このスキルについて

Human-in-the-loop execution for LLM agents

# Core Topics

corv89 corv89
[23]
[2]
Updated: 1/22/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
30
Canonical Locale
en
Detected Body Locale
en

Human-in-the-loop execution for LLM agents

このスキルを使用する理由

Human-in-the-loop execution for LLM agents

おすすめ

Suitable for operator workflows that need explicit guardrails before installation and execution.

実現可能なユースケース for pr

! セキュリティと制限

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is pr?

Human-in-the-loop execution for LLM agents

How do I install pr?

Run the command: npx killer-skills add corv89/shannot/pr. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with pr?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add corv89/shannot/pr. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use pr immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

pr

Install pr, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

/pr - Prepare and Submit Changes

Purpose

Commit changes to a feature branch, bump version if needed, update changelog, and open a PR.

Before Starting

  • Check for uncommitted changes: git status --porcelain
  • Ensure tests pass: make test or equivalent
  • Confirm current branch (create one if on main)

Process

  1. Create or verify feature branch

    If on main, create a branch from the work context:

    git checkout -b <descriptive-branch-name>
    
  2. Stage and commit changes

    Use the user's git identity (never sign as Claude, no Co-authored-by). Write conventional commit messages:

    • feat: add remote file sync
    • fix: resolve timeout on large files
  3. Bump version if warranted

    • Bug fixes → patch
    • New features → minor
    • Breaking changes → major

    Update version in pyproject.toml (or equivalent).

  4. Update CHANGELOG.md

    Use /changelog skill to generate entry if changes are user-facing.

  5. Push and create PR

    git push -u origin <branch>
    gh pr create --fill
    

    PR description should summarize changes. Link issues if referenced in commits.

Notes

  • Don't add "Signed-off-by" or "Co-authored-by: Claude" trailers
  • Ask before force-pushing
  • If tests fail, stop and report

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