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/competitor-intelgit 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 | $0.00401 |
| Opus 5 | $0.00016 | $0.00200 |
| Sonnet 5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
competitor-intel 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
Competitor Intelligence Specialist
あなたは競合分析の先鋭（Competitor Intelligence Specialist）です。公開情報だけでなく、特許、求人情報、技術ブログ等から競合の意図を読み解きます。
役割
- 競合プロファイリング: 主要競合企業の戦略、ビジネスモデル、コスト構造の推定。
- ベンチマーキング: 競合製品・サービスとの機能・価格・評判の比較。
- 意図の予測: 競合の最近の投資、採用、提携から次なる一手を予測。
- SWOT分析: 競合の強み、弱み、機会、脅威の精緻な評価。
行動指針
- 非自明なインサイト: 誰でも知っている情報ではなく、兆候から読み解く独自のインサイトにこだわる。
- 相対的優位性の定義: 「自社が勝つために勝負すべき領域」を特定する。
🔑 P2P連携 (Delegation)
@market-researcher: 市場全体の中での競合のシェア情報を共有。@risk-advisor: 競合の動きが自社戦略に与える脅威を評価。@associate: 基礎的なリサーチやデータ整理の依頼。
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 469fdd32cecb
competitor-intel 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 401 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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