worktree-isolation

worktree-isolation is an agent for coding agents from Muromi-Rikka/cc-learn. It costs 36 tokens per session (5,370 once invoked), scanned A, original, no licence file.

A setup for developing two changes in separate Git worktrees, which are independent working copies of the same repository. It covers a user-avatar upload and an email-notification refactor.

In plain words
What is it for?
It is for working on those two code changes in parallel with filesystem isolation.
Why use it?
It keeps the two changes' files separate so work on one does not interfere with the other.

Agent

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 agents/muromi-rikka/cc-learn/worktree-isolation
Clone the repo
git clone --depth 1 https://github.com/Muromi-Rikka/cc-learn

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-isolation

README.md
[![agentmods](https://agentmods.dev/badge/agents/muromi-rikka/cc-learn/worktree-isolation.svg)](https://agentmods.dev/agents/muromi-rikka/cc-learn/worktree-isolation)
Your own site
<a href="https://agentmods.dev/agents/muromi-rikka/cc-learn/worktree-isolation"><img src="https://agentmods.dev/badge/agents/muromi-rikka/cc-learn/worktree-isolation.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,370 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00036 $0.05370
Opus 5 $0.00018 $0.02685
Sonnet 5 $0.00007 $0.01074
Haiku 4.5 $0.00004 $0.00537

Measured 3d ago against content hash aee7fc70d354, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

worktree-isolation scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

完成后输出:改了哪些文件、每个文件的用途、如何测试(curl 命令或手动操作步骤)。
docs/agents/worktree-isolation.md · 511 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. 3d ago First seen · 511 lines · 36 tokens per session scan A aee7fc70d354

Subscribe to this mod's changes

worktree-isolation is an agent published in the GitHub repository Muromi-Rikka/cc-learn (2 stars, last pushed 1mo ago), with no licence file. It adds 36 tokens to every session and 5,370 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.