genshijin-crew

genshijin-crew is a skill for Claude Code from InterfaceX-co-jp/genshijin. It costs 161 tokens per session (1,207 once invoked), scanned A, original, MIT.

A guide for deciding when to delegate coding work to three Japanese-style compressed subagents: one for finding code, one for small edits, and one for reviewing changes. It explains when to use them instead of working in the main thread or using a general exploration agent.

In plain words
What is it for?
Use it to locate symbols and usages, make focused edits in one or two files, review diffs or branches, and choose the right kind of subagent for a task.
Why use it?
It helps keep long coding sessions smaller by returning short, structured findings. It also prevents using a small-edit agent for large or cross-cutting changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the genshijin plugin — 7 skills, 6 commands, 3 agents shipped together

not rated 325repo +7 27d ago A scan Socket: passSnyk: passSkillSpector: pass 161 tokens original MIT

Good fit Use it to locate symbols and usages, make focused edits in one or two files, review diffs or branches, and choose the right kind of subagent for a task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/interfacex-co-jp/genshijin/genshijin-crew
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 InterfaceX-co-jp/genshijin --skill genshijin-crew
Clone the repo
git clone --depth 1 https://github.com/InterfaceX-co-jp/genshijin

Made for: Claude Code.

Or install genshijin, the plugin that ships this one along with the rest of its 7 skills, 6 commands, 3 agents.

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 genshijin-crew

README.md
[![agentmods](https://agentmods.dev/badge/skills/interfacex-co-jp/genshijin/genshijin-crew/github.svg)](https://agentmods.dev/skills/interfacex-co-jp/genshijin/genshijin-crew)
Your own site
<a href="https://agentmods.dev/skills/interfacex-co-jp/genshijin/genshijin-crew"><img src="https://agentmods.dev/badge/skills/interfacex-co-jp/genshijin/genshijin-crew/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 genshijin-crew

Your own site · 80×15
<a href="https://agentmods.dev/skills/interfacex-co-jp/genshijin/genshijin-crew"><img src="https://agentmods.dev/badge/skills/interfacex-co-jp/genshijin/genshijin-crew.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 161 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,207 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. Third-party audits
  • Socket pass 11 May 2026
  • Snyk pass 11 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00161 $0.01207
Opus 5 $0.00081 $0.00603
Sonnet 5 $0.00032 $0.00241
Haiku 4.5 $0.00016 $0.00121

Measured 12d ago against content hash e1881d3edcc6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

genshijin-crew 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 12d 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/genshijin-crew/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

genshijin-crew = 原始人形式で出力する3 subagent preset。役割は Anthropic デフォルト (Explore、編集系 agent、reviewer) と同じ。差分は返ってくる tool-result が圧縮済 → 主コンテキスト消費が委譲毎に縮む。

genshijin-crew vs 代替の使い分け

タスク 使用
「Xの定義どこ / Yを呼ぶ箇所 / Zの全用法」 genshijin-investigator
同上 + アーキテクチャ解説/提案も欲しい Explore (vanilla)
Surgical編集、≤2ファイル、スコープ明確 genshijin-builder
新機能 / 3+ファイル / cross-cutting refactor 主スレッド or feature-dev:code-architect
Diff/branch/file の bug レビュー genshijin-reviewer
rationale + alternatives 付き深いコードレビュー Code Reviewer (vanilla)
1行回答済の確実な内容 主スレッド、subagent不要

判断基準: subagent 出力を1/3トークンで欲しいなら genshijin-crew、散文で欲しいなら vanilla

なぜ存在するか (実利)

Subagent tool-result は主コンテキストに verbatim 注入される。Vanilla Explore が散文2k tokens 返すと毎回主コンテキスト2k消費。同じ発見が genshijin-investigator だと約700 tokens。1セッション20委譲で context exhaustion vs タスク完了の差。

出力契約

主スレッドが agent 別に依拠できる形式:

genshijin-investigator

<Header>:
- path:line — `symbol` — short note
集計: <counts>。

or No match. 必ずファイルパス先頭、行番号付、シンボルはバッククォート。path:\d+ で grep可能。

genshijin-builder

<path:line-range> — <change ≤10語>。
verified: <re-read OK | mismatch @ path:line>。

or 以下のいずれか: too-big. / needs-confirm. / ambiguous. / regressed. (terminal first token)。

genshijin-reviewer

path:line: <emoji> <severity>: <問題>. <修正>.
totals: N🔴 N🟡 N🔵 N❓

or No issues. ファイル → 行昇順。

チェイニングパターン

位置特定 → 修正 → 検証 (最頻):

  1. genshijin-investigator で site list 取得
  2. 主スレッドが1-2 site選び genshijin-builder にパス渡す
  3. genshijin-reviewer が diff 監査

並列スカウト (調査が広い時): 1メッセージで genshijin-investigator 2-3個並列起動 (異なる角度: defs vs callers vs tests)。主スレッドで集約。

単発編集 (sit既知時): investigator スキップ。genshijin-builder に直接 path:line 渡す。

禁止事項

  • ファイル未特定で genshijin-builder 使用禁止。先に investigator 起動 → でないと主スレッドがコンテキスト渡しでトークン消費。
  • 5ファイル refactor で genshijin-investigator → genshijin-builder チェーン禁止。Builder は too-big. 返却 → ターン浪費。
  • genshijin-reviewer に「全般フィードバック」依頼禁止 → findings のみ返却、アーキテクチャ意見なし。それ用は Code Reviewer
  • 散文期待禁止。genshijin-crew 出力は構造化、時に cryptic。人間が直読する場合は主スレッドが言換え。

Read the full file on GitHub · 80 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. 12d ago First seen · 80 lines · 161 tokens per session scan A e1881d3edcc6

Subscribe to this mod's changes

genshijin-crew is a skill published in the GitHub repository InterfaceX-co-jp/genshijin (325 stars, last pushed 27d ago), licensed MIT. It adds 161 tokens to every session and 1,207 once invoked, about $0.0008 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 2026-08-30.

Related

Other skills, from other repositories

my-adhd-caveman

Self-contained output mode: ADHD actable structure (action first, numbered steps, one next action, one-line progress) plus caveman diction (drop fluff/articles, fragments, fewer tokens). Use when the user says "adhd-caveman", "my-adhd-caveman", or invokes /my-adhd-caveman. Needs no other skills.

SteinsFu/my-adhd-caveman · 83 tokens

meta-tags-optimizer

Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media…

nowork-studio/notfair-plugin · 91 tokens

google-ads-audit

Google Ads account audit and business context setup. Use for account-health audits and business-context setup. Trigger on "audit my ads", "ads audit", "set up my ads", "onboard", "account overview", "how's my account", "ads health check", "what should I fix in my ads", or when the user is new to NotFair and hasn't run…

nowork-studio/notfair-plugin · 86 tokens

sxo

Search Experience Optimization (SXO) — the bridge between SEO and UX/CRO. Audits the full journey from the SERP click to the on-page goal: SERP click-through factors (title/meta/rich results that win the click), then post-click experience signals that keep users and drive conversions — above-the-fold relevance and…

nowork-studio/notfair-plugin · 235 tokens

critical-code-reviewer

Rigorously review code or pull requests for correctness, security, accessibility, maintainability, tests, and edge cases. Use when users request a critical code review, want a guided walkthrough of findings, need implementer-facing feedback, or want to prepare, create, or submit a GitHub pull request review.

posit-dev/skills · 67 tokens

shiny-bslib

Build modern Shiny dashboards and applications using bslib (Bootstrap 5). Use when creating new Shiny apps, modernizing legacy apps (fluidPage, fluidRow/column, tabsetPanel, wellPanel, shinythemes), or working with bslib page layouts, grid systems, cards, value boxes, navigation, sidebars, filling layouts, theming…

posit-dev/skills · 107 tokens