worktree

worktree is a skill for Claude Code from bahayonghang/my-ai-cli-toolkit. It costs 62 tokens per session (766 once invoked), scanned A, original, MIT.

A setup procedure for creating a separate Git worktree, which is an additional working copy of a repository for another branch. It also copies environment files and installs the project's dependencies.

In plain words
What is it for?
It is for preparing an independent environment for a feature branch, pull request, or parallel development task.
Why use it?
It keeps parallel branch work isolated so changes and dependencies do not interfere with the main working copy.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code.

Good fit It is for preparing an independent environment for a feature branch, pull request, or parallel development task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bahayonghang/my-ai-cli-toolkit/autogpt
Install

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.

Any agent
npx skills add bahayonghang/my-ai-cli-toolkit --skill autogpt
Clone the repo
git clone --depth 1 https://github.com/bahayonghang/my-ai-cli-toolkit

Made for: Claude Code.

Wrote 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.

agentmods badge for worktree

README.md
[![agentmods](https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/autogpt/github.svg)](https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/autogpt)
Your own site
<a href="https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/autogpt"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/autogpt/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.

agentmods 80×15 button for worktree

Your own site · 80×15
<a href="https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/autogpt"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/autogpt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 766 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.00766
Opus 5 $0.00031 $0.00383
Sonnet 5 $0.00012 $0.00153
Haiku 4.5 $0.00006 $0.00077

Measured 8d ago against content hash d8b1ca4fedf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

worktree 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 8d 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.

.trellis/tasks/archive/2026-08/08-17-git-worktree-skill/research/autogpt-SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Worktree Setup

Create the worktree

Derive paths from the git toplevel. If a name is provided as argument, use it. Otherwise, check git worktree list and pick the next AutoGPT<N>.

ROOT=$(git rev-parse --show-toplevel)
PARENT=$(dirname "$ROOT")

# From an existing branch
git worktree add "$PARENT/<NAME>" <branch-name>

# From a new branch off dev
git worktree add -b <new-branch> "$PARENT/<NAME>" dev

Copy environment files

Copy .env from the root worktree. Falls back to .env.default if .env doesn't exist.

ROOT=$(git rev-parse --show-toplevel)
TARGET="$(dirname "$ROOT")/<NAME>"

for envpath in autogpt_platform/backend autogpt_platform/frontend autogpt_platform; do
  if [ -f "$ROOT/$envpath/.env" ]; then
    cp "$ROOT/$envpath/.env" "$TARGET/$envpath/.env"
  elif [ -f "$ROOT/$envpath/.env.default" ]; then
    cp "$ROOT/$envpath/.env.default" "$TARGET/$envpath/.env"
  fi
done

Install dependencies

TARGET="$(dirname "$(git rev-parse --show-toplevel)")/<NAME>"
cd "$TARGET/autogpt_platform/autogpt_libs" && poetry install
cd "$TARGET/autogpt_platform/backend" && poetry install && poetry run prisma generate
cd "$TARGET/autogpt_platform/frontend" && pnpm install

Replace <NAME> with the actual worktree name (e.g., AutoGPT7).

Running the app (optional)

Backend uses ports: 8001, 8002, 8003, 8005, 8006, 8007, 8008. Free them first if needed:

TARGET="$(dirname "$(git rev-parse --show-toplevel)")/<NAME>"
for port in 8001 8002 8003 8005 8006 8007 8008; do
  lsof -ti :$port | xargs kill -9 2>/dev/null || true
done
cd "$TARGET/autogpt_platform/backend" && poetry run app

CoPilot testing

SDK mode spawns a Claude subprocess — won't work inside Claude Code. Set CHAT_USE_CLAUDE_AGENT_SDK=false in backend/.env to use baseline mode.

Cleanup

# Replace <NAME> with the actual worktree name (e.g., AutoGPT7)
git worktree remove "$(dirname "$(git rev-parse --show-toplevel)")/<NAME>"

Alternative: Branchlet (optional)

Read the full file on GitHub · 86 lines

Changes

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.

  1. 8d ago First seen · 86 lines · 62 tokens per session scan A d8b1ca4fedf8

Subscribe to this mod's changes

worktree is a skill published in the GitHub repository bahayonghang/my-ai-cli-toolkit (16 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 766 once invoked, about $0.0003 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 2026-09-04.

Related

Other skills, from other repositories

prowler-commit

Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.

prowler-cloud/prowler · 33 tokens

gh-auth-isolation

Safely manage multiple GitHub identities (EMU + personal) in agent workflows.

github/gh-aw · 20 tokens

comet-github

A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.

rpamis/comet · 72 tokens

github-skill

Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.

zeenie-ai/OpenCompany · 51 tokens

changelog-composer

Generates structured changelogs and release notes from git history and PRs, classifying breaking changes, features, fixes, performance, docs. Triggers on: "generate changelog", "write release notes", "what changed since", "prepare release", "release notes for", "diff since tag".

Mathews-Tom/armory · 67 tokens

re0-merge

Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…

LilMGenius/paperthin · 70 tokens