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.
curl -O https://raw.githubusercontent.com/suisya-systems/claude-org-ja/main/.claude/skills/org-resume/SKILL.mdgit clone --depth 1 https://github.com/suisya-systems/claude-org-jaWrote 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/suisya-systems/claude-org-ja/org-resume)<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/org-resume"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/org-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.
<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/org-resume"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/org-resume.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00070 | $0.01839 |
| Opus 5 | $0.00035 | $0.00920 |
| Sonnet 5 | $0.00014 | $0.00368 |
| Haiku 4.5 | $0.00007 | $0.00184 |
Grade A, and why
org-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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
org-resume: 組織の再開
中断された組織の状態を読み込み、人間にブリーフィングし、再開する。
state DB 前提 (Issue #267 / M4):
.state/state.dbが唯一の SoT。 read 経路は DB のみ (markdown fallback は M4 で撤去)、構造化セクションの write 経路はStateWriter.transaction()経由(post-commit hook が.state/org-state.mdを DB から自動再生成、markdown 直接編集禁止 — drift_check が検出する)。free-form な学び / Pending Lead 等はnotes/配下に保存する。.state/journal.jsonlは M4 で廃止。 DB が無い場合はpython -m tools.state_db.importer --db .state/state.db --rebuild --no-strictで構築する。
Phase 1: 状態読み込みとブリーフィング
-
state schema migration を実行する(Set C §4.4 契約)。
.state/配下の JSON 状態を最新スキーマへ揃えてから読み込みに入る:py -3 tools/state_migrate.py # Windows python3 tools/state_migrate.py # Mac/Linuxexit 0 なら続行。exit 1(未対応 version 残存)/ exit 2(migration ループ異常)なら人間に報告して停止する。
-
DB から前回状態を取得する(Phase 1 は軽量 briefing API、Issue #412):
.state/state.dbが存在 → DB をクエリ:python -c "from tools.state_db import connect; from tools.state_db.queries import get_resume_briefing_light; import json; \ conn = connect('.state/state.db'); \ print(json.dumps(get_resume_briefing_light(conn), ensure_ascii=False, indent=2, default=str))"active_runs/reserved_runs/recent_events/last_suspend_summaryでブリーフィング素材を作る。sessionには Status / Current Objective / suspended_at / resumed_at / resume_summary が圧縮されて入る(rawresume_instructions本文と raw eventpayload_jsonは含まれない)。active_inventory_dirsはruns.statusから逆引きした worker_dir 集合(state-semantics-contract I7 —worker_dirs.lifecycle='active'ではない)。 必要があれば(極稀ケース)get_resume_briefingで raw payload / 完全な resume_instructions を取得できるが、起動時 Phase 1 では使わない。- DB が無い → 人間に rebuild を促す:
「state.db not found. Run:
python -m tools.state_db.importer --db .state/state.db --root . --rebuild」
-
人間に簡潔なサマリーを提示する:
- 全体の目標 (briefing の
session.objective) - 各作業アイテムの状態 (完了/進行中/保留/ブロック、briefing の
active_runs/reserved_runs) - 中断時刻 (briefing の
last_suspend_summary.occurred_at、reason / counts も同 dict)
- 全体の目標 (briefing の
-
notes/配下にある自由記述 (学び / Pending Lead / セッションサマリー) を確認する
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.
- 11d ago First seen · 119 lines · 70 tokens per session scan A c32436d8555c
org-resume is a skill published in the GitHub repository suisya-systems/claude-org-ja (5 stars, last pushed 5d ago), licensed MIT. It adds 70 tokens to every session and 1,839 once invoked, about $0.0003 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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