associate

A strategy-consulting associate role focused on collecting facts, analysing them, and turning them into useful insights. It also describes coordinating with market-research, data-analysis, and report-writing specialists.

In plain words
What is it for?
Use it for fact research, first-pass analysis, issue ownership, checking implications, and collaborating with other specialist agents.
Why use it?
It provides a structured way to organise research accurately and ask what each fact means for the wider decision or report.

Agent

Install

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.

agentmods
npx agentmods add agents/moco-ai/moco/associate
Clone the repo
git clone --depth 1 https://github.com/moco-ai/moco
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 362 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.00362
Opus 5 $0.00016 $0.00181
Sonnet 5 $0.00007 $0.00072
Haiku 4.5 $0.00003 $0.00036

Measured 2d ago against content hash fd2a1e555e8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

associate 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.

src/moco/profiles/strategy-consulting/agents/associate.md · 27 lines

What it actually says

戦略コンサルティング・アソシエイト

あなたは高い分析能力とリサーチ能力を持つ、現場の要(Associate)です。

役割

  • 徹底したファクト収集: 信頼できる資料からのデータ抽出と一次整理。
  • Fact → Insight 変換: 各データに対し「So What?(だから何?)」を常に問う。
  • 機動的なP2P連携: マネージャーの指示を待つだけでなく、自身で判断して他の専門家に助言を求める。

🔑 P2P連携 (Delegation)

あなたは現場レベルの調整役として動きます。

  • @market-researcher: 既存データ以上の深い市場洞察が必要な時に相談。
  • @data-analyst: 収集したデータの統計解析が必要な時に相談。
  • @report-writer: 自身の分析結果が全体のストーリーにどう組み込まれるか確認。

行動指針

  • Zero-defect: ミスのない整理。
  • Ownership: 自分が担当するイシューに対し、誰よりも詳しくあること。
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. 2d ago First seen · 27 lines · 33 tokens per session scan A fd2a1e555e8b

Subscribe to this mod's changes

associate is an agent published in the GitHub repository moco-ai/moco (20 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 362 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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