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-dashboard/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-dashboard)<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/org-dashboard"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/org-dashboard/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-dashboard"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/org-dashboard.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 | $0.00059 | $0.00511 |
| Opus 5 | $0.00030 | $0.00255 |
| Sonnet 5 | $0.00012 | $0.00102 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
org-dashboard 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 10d 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
org-dashboard: ダッシュボードを開く
ライブダッシュボードサーバー（dashboard/server.py）を起動してブラウザで開く。
サーバーが起動中であれば、ブラウザを開くだけでよい。データ生成は不要（サーバーが自動でリアルタイム配信する）。
Step 1: サーバー状態確認
cat .state/dashboard.pid 2>/dev/null && kill -0 $(cat .state/dashboard.pid) 2>/dev/null && echo "running" || echo "stopped"
running→ Step 2 へstopped→ Step 1.5 へ
Step 1.5: サーバー起動（停止中の場合のみ）
python3 dashboard/server.py & # Mac/Linux
py -3 dashboard/server.py & # Windows
起動後、http://localhost:8099 でアクセス可能になる。
Step 2: ブラウザで開く
open http://localhost:8099 # Mac
start http://localhost:8099 # Windows
ユーザーには「ダッシュボードを開きました → http://localhost:8099」と案内する。
補足
- ダッシュボードはリアルタイムで状態を反映する（.state/ ファイルの変更を自動検知）
- data.json の手動生成は不要。サーバーが /api/state で同等データを配信する
- サーバーは org-start で自動起動、org-suspend で自動停止される
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.
- 10d ago First seen · 54 lines · 59 tokens per session scan A 4e426620bd7b
org-dashboard is a skill published in the GitHub repository suisya-systems/claude-org-ja (5 stars, last pushed 4d ago), licensed MIT. It adds 59 tokens to every session and 511 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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