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-attention-start/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-attention-start)<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/org-attention-start"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/org-attention-start/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-attention-start"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/org-attention-start.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 67 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00170 | $0.04674 |
| Opus 5 | $0.00085 | $0.02337 |
| Sonnet 5 | $0.00034 | $0.00935 |
| Haiku 4.5 | $0.00017 | $0.00467 |
Grade A, and why
org-attention-start 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
org-attention-start: attention watcher の常駐起動
claude-org-runtime attention watch を dispatcher ペインの右側に split で常駐起動し、
pane_id を .state/attention_pane.json に sidecar として記録する。停止は
/org-attention-stop を使う。
輸送層 両系（
ORG_TRANSPORT: 既定renga/ opt-inbroker）: 本スキルのmcp__renga-peers__*（spawn_pane/list_panes/inspect_pane/close_pane）は 既定rengaで書いてあり、ORG_TRANSPORT無設定ならそのまま従えばよい（既定挙動不変）。ORG_TRANSPORT=broker（opt-in・切戻し可）では完全修飾名がmcp__renga-peers__*→mcp__org-broker__*に機械置換される（引数形・セマンティクスは同一なので spawn / 監視操作の論理は変わらない）。attention watcher は Claude ペインではなくclaude-org-runtimeCLI なので dev-channel / folder-trust の承認は両系とも不要（spawn 儀式の差は Claude ペイン spawn にのみ効く）。エラーは broker 追加コード（[no_backend]（= adapter_unavailable）/[token_invalid]等、.claude/skills/org-delegate/references/renga-error-codes.mdの broker 節）が加わる。new_tab/focus_paneは broker surface に無いが本スキルは使わない。契約面はdocs/contracts/backend-interface-contract.mdSurface 8（ratified 2026-06-14）、設計 SoT は transport-labdocs/design/ja-migration-plan.md§5.2(ii)。既定 renga の手順は不変（broker は加算）。（既定の二フレーム注記（Refs #604）: ここでの「既定renga」は運用既定（broker 実走 dogfood が Epic #6 Issue G まで未活性）の意。別にコード既定としてtools/transport.py: DEFAULT_TRANSPORTが runtime 0.1.28 (Epic #586) でbrokerにフリップ済みで、ja 生成器・transport.resolve()はこのコードフレームで render するため生成面は「既定broker」と表示する — 両フレームは指す対象（運用経路 vs コード定数）が異なり矛盾しない。総説は rootCLAUDE.md「輸送層（transport）両系」節。）
前提: この skill は窓口（Secretary）の cwd（= claude-org-ja リポジトリ root）から呼ばれる。 attention watcher 自体は
claude-org-runtimeの console_scripts entrypoint で、--state-dir .state/--config .state/attention.jsonの相対パスが repo root から resolve される必要がある。 dispatcher ペインの cwd は.dispatcherなので、spawn_pane ではcwd="."を明示して Secretary 側の cwd（= repo root）にバインドする。設計判断 (sidecar): pane_id 記録は
.state/state.dbの schema 拡張ではなく sidecar JSON (.state/attention_pane.json) を採用する。.state/dashboard.pid/.state/attention_notified.jsonと同じ「補助プロセス追跡」パターンに揃え、 importer / writer / snapshotter / converter / drift_check への波及を回避するため。 attention watcher は OS subprocess であり Claude peer ではないため peer_id は持たず、 ダッシュボードへの状況表示も現状不要（人間判断、2026-05-17）。
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 · 241 lines · 170 tokens per session scan A 877cb3ae377d
org-attention-start is a skill published in the GitHub repository suisya-systems/claude-org-ja (5 stars, last pushed 5d ago), licensed MIT. It adds 170 tokens to every session and 4,674 once invoked, about $0.0009 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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