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.
npx agentmods add skills/ishida-supsys/oretachi/worktree-assignnpx skills add ishida-supsys/oretachi --skill worktree-assigngit clone --depth 1 https://github.com/ishida-supsys/oretachiWrote 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/skills/ishida-supsys/oretachi/worktree-assign)<a href="https://agentmods.dev/skills/ishida-supsys/oretachi/worktree-assign"><img src="https://agentmods.dev/badge/skills/ishida-supsys/oretachi/worktree-assign.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 | $0.00098 | $0.00742 |
| Opus 5 | $0.00049 | $0.00371 |
| Sonnet 5 | $0.00020 | $0.00148 |
| Haiku 4.5 | $0.00010 | $0.00074 |
Grade A, and why
worktree-assign 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 5d 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.
What it actually says
worktree-assign スキル
新しい作業を受け取り、ワークツリーを作ってエージェントに割り当てる。
手順
oretachi_list_repositoryで登録リポジトリとbranchNamePatternを確認する。oretachi_get_worktree_statusで、同じ作業のワークツリーが既に無いか確認する。 description やブランチ名が近いものがあれば、新規作成せずそちらを使うようユーザーに提案する。- 作業内容が曖昧なら、着手前に 1〜2 点だけ確認する（対象リポジトリ・スコープ）。
- ユーザーが追加先ワークグループを指定している場合のみ、
oretachi_list_workgroupsで 一覧を取得して該当するname（またはid）を確認する。 指定が無ければ引数を省略する。この場合の追加先は UI で現在選択中のワークグループで、isDefault: trueのグループとは限らない。どこに入ったかを断定して報告しないこと。 oretachi_add_taskにプロンプトを渡す。oretachi 側が ワークツリー作成 → セットアップスクリプト実行 → エージェント起動まで非同期で行う。 追加先を指定する場合はworkgroup_name（表示名）かworkgroup_idを併せて渡す。 一致しない名前を渡すとエラーになり、タスクは作成されない。
プロンプトの書き方
oretachi_add_task に渡すプロンプトは、割り当て先のエージェントがそのまま読む指示になる。
- 対象リポジトリ名を明記する
- 何を達成すれば完了かを 1 行で書く
- 既知の制約（触ってはいけない箇所、参照すべきファイル）があれば添える
禁止事項
- 重複するワークツリーを確認せずに作らない
- 作業内容が全く不明なまま
oretachi_add_taskを呼ばない
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.
- 5d ago First seen · 38 lines · 98 tokens per session scan A 69962a9b0dd8
worktree-assign is a skill published in the GitHub repository ishida-supsys/oretachi (2 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 742 once invoked, about $0.0005 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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