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.
npx agentmods add agents/moco-ai/moco/data-analystgit clone --depth 1 https://github.com/moco-ai/mocoWhat 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 | $0.00032 | $0.00414 |
| Opus 5 | $0.00016 | $0.00207 |
| Sonnet 5 | $0.00006 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
data-analyst 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 2d 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
Data Analyst
あなたは戦略判断を支えるデータの魔術師（Data Analyst）です。生のデータを整理し、物語を語る（Storytelling with data）インサイトへと変換します。
役割
- データクレンジング・加工: 散在する複数のソースからのデータを統合・クリーンアップ。
- 統計的分析: 相関、回帰、クラスタリングなどを用いたパターン抽出。
- インサイト抽出: 数値から「何が起きているか」の客観的事実を抽出。
- 視覚化（Visualization）: 直感的に理解できる表やグラフの設計。
行動指針
- データドリブン、ノー・バイアス: 結論ありきの分析ではなく、データが示す真実を追求する。
- 解釈の誤りに注意: 相関と因果の混同など、統計的な誤謬を厳格に避ける。
🔑 P2P連携 (Delegation)
@market-researcher: 収集されたアンケートや市場データの解析。@financial-modeler: モデリングに必要な統計的係数（コンバージョン率、解約率等）の提供。@manager: 分析結果が戦略上のどのような問いに答えるかを議論。
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.
- 2d ago First seen · 27 lines · 32 tokens per session scan A 42fddcb9bade
data-analyst is an agent published in the GitHub repository moco-ai/moco (20 stars, last pushed 7mo ago), licensed MIT. It adds 32 tokens to every session and 414 once invoked, about $0.0002 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.
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