Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/kuku0922/awesome-ai-coding-enhanceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/kuku0922/awesome-ai-coding-enhance/git-branch)<a href="https://agentmods.dev/commands/kuku0922/awesome-ai-coding-enhance/git-branch"><img src="https://agentmods.dev/badge/commands/kuku0922/awesome-ai-coding-enhance/git-branch/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/kuku0922/awesome-ai-coding-enhance/git-branch"><img src="https://agentmods.dev/badge/commands/kuku0922/awesome-ai-coding-enhance/git-branch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.02850 |
| Opus 5 | $0.00013 | $0.01425 |
| Sonnet 5 | $0.00005 | $0.00570 |
| Haiku 4.5 | $0.00003 | $0.00285 |
Grade A, and why
git-branch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Command: Quick Git Branch Creation
🚀 Simple & Fast: Create Git branches quickly with one-time question collection, AI-powered translation, and essential validation. Perfect for daily development workflow.
Usage
# Interactive Mode (Recommended)
/git-branch # Ask all questions at once
# Direct Mode with Parameters
/git-branch --name "feature/user-auth" # Skip name input
/git-branch --name "用户认证" --translate # Chinese input with AI translation
/git-branch --name "hotfix/bug-fix" --base main --push # Full parameters
# Quick Creation
/git-branch --name "docs/readme-update" --push # Create and push in one go
Options
| Option | Description |
|---|---|
--name <branch-name> |
Pre-specify branch name (skips name prompt) |
--base <branch> |
Pre-specify base branch (skips branch selection) |
--push |
Automatically push to remote after creation |
--no-translate |
Disable AI translation for Chinese input |
🔄 Simple Pattern Workflow
Context → Task
Step 1: Context Gathering (One-time collection)
📋 Branch Creation Questions:
┌─────────────────────────────────────────┐
│ Branch Name: [________________________] │
│ Base Branch: [develop ▼] │
│ Push to Remote: [Yes ▼] │
│ Chinese Input: [Auto-translate ▼] │
└─────────────────────────────────────────┘
Step 2: Task Execution (Single operation)
✅ Validation: Branch name available
✅ Translation: 用户认证 → feature/user-authentication
✅ Creation: git checkout -b feature/user-authentication
✅ Push: git push -u origin feature/user-authentication
🌐 AI Translation Features
Auto-Detection
- Chinese Input Detected: Automatically enables translation
- Context-Aware: Translates based on development context
- Multiple Options: Provides several translation choices
Translation Examples
用户登录系统 → feature/user-login-system, feat/user-auth
支付功能开发 → feature/payment-system, feat/payment-gateway
页面修复 → fix/page-layout, hotfix/ui-issue
文档更新 → docs/api-documentation, docs/update-readme
代码重构 → refactor/code-optimization, refactor/improve-structure
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 379 lines · 0 tokens per session scan A 30c0d617adcf
git-branch is a command published in the GitHub repository kuku0922/awesome-ai-coding-enhance (3 stars, last pushed 9mo ago), licensed MIT. It adds 26 tokens to every session and 2,850 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
context
A project-context command that manages a .context directory containing decision notes, session logs, and history. It helps keep a record of why changes were made across Git branches and commits.
icpg-bootstrap
Infer ReasonNodes from existing git commit history. One-time setup for existing codebases.
worktree
Create a git worktree for isolated feature/fix work.
resume-project
Run resume-project now — Now / Blocked / Next. Not a cheat sheet.
pull-repos
Pull all repos (parent + marketplace clones + configured project repos).
session-report
Capture what changed this session and why, scoped to the current branch. Read by ship verbs when synthesizing the commit message; deleted after a successful commit.