using-git-worktrees

A workflow for creating separate Git worktrees, which are extra working directories linked to the same repository. It chooses a directory and checks that the setup is safe.

In plain words
What is it for?
Starting isolated feature work, preparing parallel changes, and setting up a clean workspace before implementing a plan.
Why use it?
It keeps feature work separate from your current files and changes. This reduces accidental edits or conflicts when following an implementation plan.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/futuregerald/futuregerald-claude-plugin/using-git-worktrees
Any agent
npx skills add futuregerald/futuregerald-claude-plugin --skill using-git-worktrees
Clone the repo
git clone --depth 1 https://github.com/futuregerald/futuregerald-claude-plugin

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,404 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00035 $0.01404
Opus 5 $0.00017 $0.00702
Sonnet 5 $0.00007 $0.00281
Haiku 4.5 $0.00003 $0.00140

Measured 2d ago against content hash 17c0c544fc07, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

using-git-worktrees 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 2d 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.

skills/using-git-worktrees/SKILL.md · 228 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 228 lines · 35 tokens per session scan A 17c0c544fc07

Subscribe to this mod's changes

using-git-worktrees is a skill published in the GitHub repository futuregerald/futuregerald-claude-plugin (6 stars, last pushed 4d ago), with no licence file. It adds 35 tokens to every session and 1,404 once invoked, about $0.0002 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.

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