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claude-org-ja: Skill for Claude Code

.claude/skills/secretary-resume/SKILL.md

secretary-resume is a skill for Claude Code from suisya-systems/claude-org-ja. It costs 112 tokens per session (3,362 once invoked), scanned A, original, MIT.

A resume procedure for restoring a coordinator session from a handover file after its context has been cleared.

In plain words
What is it for?
It helps continue interrupted organisation work, inspect the saved handover, and resume from the existing state database and running panes.
Why use it?
It brings back the recent human decisions, active work, and coordinator role without starting duplicate dispatcher or worker sessions. If the handover is missing or outdated, it points to a broader restart procedure.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is suisya-systems/claude-org-ja's own configuration. It tells Claude Code how to work on claude-org-ja itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-org-ja configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is Bash(bash tools/journal_append.sh:*).

not rated 5repo today A scan SkillSpector: pass 112 tokens original MIT
View source ↗ suisya-systems/claude-org-ja
Reuse

Borrowing it

Nothing to install: this file belongs to suisya-systems/claude-org-ja. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/suisya-systems/claude-org-ja/main/.claude/skills/secretary-resume/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/suisya-systems/claude-org-ja

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 secretary-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/secretary-resume/github.svg)](https://agentmods.dev/skills/suisya-systems/claude-org-ja/secretary-resume)
Your own site
<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/secretary-resume"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/secretary-resume/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/secretary-resume"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/secretary-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,362 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
  • 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 $0.00112 $0.03362
Opus 5 $0.00056 $0.01681
Sonnet 5 $0.00022 $0.00672
Haiku 4.5 $0.00011 $0.00336

Measured 12d ago against content hash 0ea26c2ce471, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

secretary-resume 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.

.claude/skills/secretary-resume/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

secretary-resume: 窓口の復帰

/secretary-handover で書き出した .state/secretary-handover.md を読み込み、 窓口として最低限の自覚（組織員としての立ち位置・直近の人間とのやり取り・進行中ワーク） を復元する。

前提:

  • ディスパッチャー / ワーカーのペインは前セッションから生きたまま 残っている。新たに spawn しない（/org-start ではない）。
  • キュレーターは常駐しない（オンデマンド化）。curator_pane_id / curator_peer_id が null であること・ペインリストに curator が見えないことは正常系。
  • state DB (.state/state.db) はそのまま使う。ペイン identity の再記録も不要。
  • handover ファイルが存在しないか古すぎる場合は、/org-start もしくは /org-resume の使用を案内する。

輸送層（transport）両系 — 既定 broker / opt-in renga: 本ファイル（および各スキル）の mcp__org-broker__* 呼び出しは 既定 broker（ORG_TRANSPORT 無設定）で書いてあり、そのまま従えばよい（既定挙動）。ORG_TRANSPORT=renga（opt-in・切戻し可）では MCP サーバー名が renga-peers になり、ツールの 完全修飾名が mcp__org-broker__* → mcp__renga-peers__* に機械置換される（引数形・セマンティクスは同一なので手順の論理は変わらない）。輸送依存で手順が変わる点だけ renga 併記する:

  • 受信モデル: 既定 broker は push 一次（各ペイン同居の channel sidecar server:org-broker-channel が broker キューを ~1 秒間隔で claim→notifications/claude/channel で idle セッションへ本文注入。pull = ナッジ + check_messages は sidecar 不在 / unhealthy / channel 非対応ペイン（codex pull-peer）/ claude.ai login 不在時のフォールバック層）。ORG_TRANSPORT=renga 時は dispatcher / worker メッセージが <channel source="renga-peers" …> として in-band で push される。
  • spawn 儀式: 既定 broker は --mcp-config <broker> 注入による Claude Code folder-trust プロンプトの send_keys(enter=true) 機械承認に加え、push 一次のため channel sidecar を --dangerously-load-development-channels server:org-broker-channel で load し dev-channel 承認プロンプトを send_keys(enter=true) で機械承認する（2 段承認）。ORG_TRANSPORT=renga 時は --dangerously-load-development-channels server:renga-peers の「Load development channel?」を Enter 承認する 1 段。
  • エラー分岐: 既定 broker は shared codes（pane_not_found / last_pane / invalid-params）に加え broker 固有 [token_invalid] / [session_invalid] / [tool_not_authorized] / [no_backend]（= adapter_unavailable）/ [nudge_failed] / [peer_not_found] / [name_taken] を返しうる（未知コードは default-branch で escalate）。ORG_TRANSPORT=renga 時は broker 固有コードは発生しない。

new_tab / focus_pane は broker surface に無い（意図的除外）。契約面の正本は docs/contracts/backend-interface-contract.md Surface 8 + push-primary amendment（broker push 一次が 既定の契約、pull は fallback として retain）。opt-in renga は削除せず常時有効な切戻しの安全装置として維持する。broker 実走（dogfood）は Epic #6 Issue G スコープで本ファイルの既定運用経路ではない（二フレーム注記（Refs #604）: ここの「既定 broker」はコード既定（tools/transport.py: DEFAULT_TRANSPORT、生成面はこれで render）。運用既定は broker dogfood が Epic #6 Issue G まで未活性のため renga で、両者は指す対象が異なり矛盾しない。総説は root CLAUDE.md。）

Read the full file on GitHub · 174 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 174 lines · 112 tokens per session scan A 0ea26c2ce471

Subscribe to this mod's changes

secretary-resume is a skill published in the GitHub repository suisya-systems/claude-org-ja (5 stars, last pushed today), licensed MIT. It adds 112 tokens to every session and 3,362 once invoked, about $0.0006 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.

Claude CodeMulti-Agentagent-orchestrationjapanesemcposs-japan
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