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 skills add nicepkg/ai-workflow --skill scenario-analyzergit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/scenario-analyzer)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/scenario-analyzer"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/scenario-analyzer/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/nicepkg/ai-workflow/scenario-analyzer"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/scenario-analyzer.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 | $0.00135 | $0.02923 |
| Opus 5.5 | $0.00054 | $0.01169 |
| Sonnet 5.5 | $0.00027 | $0.00585 |
| Haiku 4.5 | $0.00014 | $0.00292 |
Grade A, and why
scenario-analyzer 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- scenario-analyzer — 88% identical, 36 lines differ
How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Headline Scenario Analyzer
Overview
このスキルは、ニュースヘッドラインを起点として中長期（18ヶ月）の投資シナリオを分析します。
2つの専門エージェント（scenario-analystとstrategy-reviewer）を順次呼び出し、
多角的な分析と批判的レビューを統合した包括的なレポートを生成します。
When to Use This Skill
以下の場合にこのスキルを使用してください：
- ニュースヘッドラインから中長期の投資影響を分析したい
- 18ヶ月後のシナリオを複数構築したい
- セクター・銘柄への影響を1次/2次/3次で整理したい
- セカンドオピニオンを含む包括的な分析が必要
- 日本語でのレポート出力が必要
使用例:
/headline-scenario-analyzer "Fed raises interest rates by 50bp, signals more hikes ahead"
/headline-scenario-analyzer "China announces new tariffs on US semiconductors"
/headline-scenario-analyzer "OPEC+ agrees to cut oil production by 2 million barrels per day"
Architecture
┌─────────────────────────────────────────────────────────────────────┐
│ Skill（オーケストレーター） │
│ │
│ Phase 1: 準備 │
│ ├─ ヘッドライン解析 │
│ ├─ イベントタイプ分類 │
│ └─ リファレンス読み込み │
│ │
│ Phase 2: エージェント呼び出し │
│ ├─ scenario-analyst（主分析） │
│ └─ strategy-reviewer（セカンドオピニオン） │
│ │
│ Phase 3: 統合・レポート生成 │
│ └─ reports/scenario_analysis_<topic>_YYYYMMDD.md │
└─────────────────────────────────────────────────────────────────────┘
Workflow
Phase 1: 準備
Step 1.1: ヘッドライン解析
ユーザーから入力されたヘッドラインを解析します。
-
ヘッドライン確認
- 引数としてヘッドラインが渡されているか確認
- 渡されていない場合はユーザーに入力を求める
-
キーワード抽出
- 主要なエンティティ（企業名、国名、機関名）
- 数値データ（金利、価格、数量）
- アクション（引き上げ、引き下げ、発表、合意等）
Step 1.2: イベントタイプ分類
ヘッドラインを以下のカテゴリに分類：
| カテゴリ | 例 |
|---|---|
| 金融政策 | FOMC、ECB、日銀、利上げ、利下げ、QE/QT |
| 地政学 | 戦争、制裁、関税、貿易摩擦 |
| 規制・政策 | 環境規制、金融規制、独禁法 |
| テクノロジー | AI、EV、再エネ、半導体 |
| コモディティ | 原油、金、銅、農産物 |
| 企業・M&A | 買収、破綻、決算、業界再編 |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 318 lines · 135 tokens per session scan A 1477e6597eef
scenario-analyzer is a skill published in the GitHub repository nicepkg/ai-workflow (288 stars, last pushed 9mo ago), licensed MIT. It adds 135 tokens to every session and 2,923 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-03.
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