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/EngineerWithAI/engineerwith-agentsWrote 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/engineerwithai/engineerwith-agents/git-workflow)<a href="https://agentmods.dev/commands/engineerwithai/engineerwith-agents/git-workflow"><img src="https://agentmods.dev/badge/commands/engineerwithai/engineerwith-agents/git-workflow.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.02002 |
| Opus 5 | $0.00000 | $0.01001 |
| Sonnet 5 | $0.00000 | $0.00400 |
| Haiku 4.5 | $0.00000 | $0.00200 |
Grade A, and why
git-workflow 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 3d 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.
This is a copy
100% identical to git-workflow — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Complete Git Workflow with Multi-Agent Orchestration
Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern git best practices including Conventional Commits, automated testing, and structured PR creation.
[Extended thinking: This workflow coordinates multiple specialized agents to ensure code quality before commits are made. The code-reviewer agent performs initial quality checks, test-automator ensures all tests pass, and deployment-engineer verifies production readiness. By orchestrating these agents sequentially with context passing, we prevent broken code from entering the repository while maintaining high velocity. The workflow supports both trunk-based and feature-branch strategies with configurable options for different team needs.]
Configuration
Target branch: $ARGUMENTS (defaults to 'main' if not specified)
Supported flags:
--skip-tests: Skip automated test execution (use with caution)--draft-pr: Create PR as draft for work-in-progress--no-push: Perform all checks but don't push to remote--squash: Squash commits before pushing--conventional: Enforce Conventional Commits format strictly--trunk-based: Use trunk-based development workflow--feature-branch: Use feature branch workflow (default)
Phase 1: Pre-Commit Review and Analysis
1. Code Quality Assessment
- Use Task tool with subagent_type="code-reviewer"
- Prompt: "Review all uncommitted changes for code quality issues. Check for: 1) Code style violations, 2) Security vulnerabilities, 3) Performance concerns, 4) Missing error handling, 5) Incomplete implementations. Generate a detailed report with severity levels (critical/high/medium/low) and provide specific line-by-line feedback. Output format: JSON with {issues: [], summary: {critical: 0, high: 0, medium: 0, low: 0}, recommendations: []}"
- Expected output: Structured code review report for next phase
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.
- 3d ago First seen · 118 lines · 0 tokens per session scan A dcaa5f768a93
git-workflow is a command published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,002 tokens. A static security scan graded it A with 0 findings. It is 100% identical to git-workflow, differing in 0 lines, and is treated as a copy.
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