gtr is a command-line tool that manages Git worktrees, which let developers keep multiple branches checked out in separate directories at the same time. It automates worktree creation, branch setup, configuration copying, dependency installation, and workspace preparation for reviews, coding agents, and parallel development. The catalogue contains instructions for using gtr.
Borrowing it
Nothing to install: this file belongs to coderabbitai/git-worktree-runner. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/coderabbitai/git-worktree-runner/main/.github/instructions/ai.instructions.mdgit clone --depth 1 https://github.com/coderabbitai/git-worktree-runnerWrote 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/instructions/coderabbitai/git-worktree-runner/ai)<a href="https://agentmods.dev/instructions/coderabbitai/git-worktree-runner/ai"><img src="https://agentmods.dev/badge/instructions/coderabbitai/git-worktree-runner/ai/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/instructions/coderabbitai/git-worktree-runner/ai"><img src="https://agentmods.dev/badge/instructions/coderabbitai/git-worktree-runner/ai.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 | $0.00526 | $0.00526 |
| Opus 5.5 | $0.00210 | $0.00210 |
| Sonnet 5.5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
git-worktree-runner ai.instructions.md 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 1mo 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Adapter Instructions
When to Use a File vs Registry
Most AI tools are defined as registry entries in lib/adapters.sh — no adapter file needed.
Only create an adapter file in adapters/ai/ for tools that need custom behavior beyond the standard builder (see claude.sh or cursor.sh for examples).
Adding a Standard AI Tool (Registry)
Add a line to _AI_REGISTRY in lib/adapters.sh:
yourname|yourcmd|ToolName not found. Install with: ...|Extra info;More info
Format: name|cmd|err_msg|info_lines (info lines are semicolon-separated)
Adding a Custom AI Tool (File Override)
Create adapters/ai/<name>.sh implementing:
#!/usr/bin/env bash
# ToolName adapter
ai_can_start() {
command -v tool-cli >/dev/null 2>&1
}
ai_start() {
local path="$1"
shift
if ! ai_can_start; then
log_error "ToolName not found. Install with: ..."
return 1
fi
(cd "$path" && tool-cli "$@") # Note: subshell for directory change
}
File-based adapters take precedence over registry entries of the same name.
Also update: the README tool list and the docs/configuration.md AI tool table, help text in lib/commands/help.sh (_help_ai); then run ./scripts/generate-completions.sh (completions are generated and checked in CI)
Contract & Guidelines
- Must define:
ai_can_start(0 = available),ai_start <path> [args...](runs in subshell(cd ...)). - Always quote:
"$path"and arguments; never assume current working directory. - Use
log_error+ helpful install hint; never silent fail. - Keep side effects confined to worktree directory; do not modify repo root unintentionally.
- Accept extra args after
--: preserve ordering (ai_startreceives already-shifted args). - Prefer fast startup; heavy initialization belongs in hooks (
postCreate), not adapters. - When adding adapter: update help text, README and
docs/configuration.mdtool lists, then regenerate completions. - Inspect function definition if needed:
declare -f ai_start.
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.
- 1mo ago Changed · +35 tokens per session 2c0f43bf5db6
- 2mo ago First seen · 59 lines · 491 tokens per session scan A 046082908fec
git-worktree-runner ai.instructions.md is an instructions file published in the GitHub repository coderabbitai/git-worktree-runner (1,808 stars, last pushed yesterday), licensed Apache-2.0. It adds 526 tokens to every session, about $0.0021 per session on Opus 5.5. 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 2026-08-30.
git-worktree-runner ai.instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| git-worktree-runner ai.instructions.mdcoderabbitai/git-worktree-runner | Instructions file | 1.8k | yesterday | Apache-2.0 | A | 526 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |