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veeramanikandanr48

Scenario Analyzer

by Veera · GitHub ↗ · v0.1.0
cross-platform ✓ Security Clean
1671
Downloads
1
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install scenario-analyzer
Description
ニュースヘッドラインを入力として18ヶ月シナリオを分析するスキル。 scenario-analystエージェントで主分析を実行し、 strategy-reviewerエージェントでセカンドオピニオンを取得。 1次・2次・3次影響、推奨銘柄、レビューを含む包括的レポートを日本語で生成。 使用例: /scenario-analyzer "Fed raises rates by 50bp" トリガー: ニュース分析、シナリオ分析、18ヶ月展望、中長期投資戦略
Usage Guidance
This skill appears coherent for its stated purpose, but check these operational points before installing: - Dependents: The skill calls two subagents (scenario-analyst and strategy-reviewer). Verify those subagents exist and inspect their implementations (they could request env vars or network access that this orchestration doc doesn't show). - Network use: The workflow requires WebSearch (past 2 weeks) and invoking the platform Task tool; expect outbound network/search queries for each run. If you have privacy concerns about headlines or proprietary text being sent to external search, avoid using confidential inputs. - File writes: It will create a reports/ directory and save markdown reports there. Make sure writing files to the agent workspace is permitted and that no sensitive data will be stored inadvertently. - Financial advice: The skill selects and recommends US tickers; if you are concerned about regulatory/ethical implications, treat outputs as informational, not professional investment advice. - Autonomy: The skill is user-invocable and not forced-always; if you prefer to limit autonomous actions, restrict model invocation or require explicit consent before running subagents or WebSearch. If you want a deeper safety check, provide the implementations (code) for the scenario-analyst and strategy-reviewer agents so they can be reviewed for unexpected credential access, hidden endpoints, or unsafe shell/network operations.
Capability Analysis
Type: OpenClaw Skill Name: scenario-analyzer Version: 0.1.0 The OpenClaw AgentSkills skill bundle is designed to analyze news headlines and generate investment scenarios. All files, including the `SKILL.md` instructions, are clearly aligned with this stated purpose. The agent is instructed to perform `WebSearch` for news gathering and to write a report to a dedicated `reports/` directory, explicitly prohibiting saving to the project root. These capabilities are necessary for the skill's function and are not indicative of malicious intent or high-risk behavior beyond the stated purpose. No evidence of data exfiltration, malicious execution, persistence, or prompt injection to subvert the agent's core mission was found.
Capability Assessment
Purpose & Capability
Name/description (headline → 18‑month scenario analysis) match the SKILL.md: it parses headlines, consults local references, calls two analysis subagents, collects recent news, and produces saved reports. No unrelated binaries, env vars, or external credentials are requested.
Instruction Scope
Runtime instructions are scoped to the declared purpose: parse headline, classify event type, read the three local reference markdown files, run WebSearch for recent news, invoke two named subagents, integrate outputs, and save a report under reports/. There is no instruction to read unrelated system files, ask for secrets, or send data to third‑party endpoints beyond WebSearch and the platform's task tool.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute. No downloads, package installs, or external installers are present.
Credentials
No environment variables, credentials, or config paths are required. The declared scope (news collection and US ticker recommendations) justifies the absence of secrets; nothing requests unrelated tokens or keys.
Persistence & Privilege
The skill writes report files into a reports/ directory inside the project workspace (creates the directory if missing). This is consistent with producing output files, but you should confirm that writing into the workspace is acceptable for your environment and that the agent has only the intended filesystem access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install scenario-analyzer
  3. After installation, invoke the skill by name or use /scenario-analyzer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: Headline-driven 18-month scenario analysis skill for investment strategy. - Generates comprehensive Japanese reports from news headlines, analyzing 18-month scenarios and recommending US-listed stocks. - Integrates two specialist agents: scenario-analyst (main analysis) and strategy-reviewer (second-opinion). - Covers first/second/third-order sector and stock impacts and includes evidence-based scenario probabilities. - Fully localizes output in Japanese and enforces project/report directory structure. - Ensures second-opinion review is always included and reflected in the final investment recommendations.
Metadata
Slug scenario-analyzer
Version 0.1.0
License
All-time Installs 3
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is Scenario Analyzer?

ニュースヘッドラインを入力として18ヶ月シナリオを分析するスキル。 scenario-analystエージェントで主分析を実行し、 strategy-reviewerエージェントでセカンドオピニオンを取得。 1次・2次・3次影響、推奨銘柄、レビューを含む包括的レポートを日本語で生成。 使用例: /scenario-analyzer "Fed raises rates by 50bp" トリガー: ニュース分析、シナリオ分析、18ヶ月展望、中長期投資戦略. It is an AI Agent Skill for Claude Code / OpenClaw, with 1671 downloads so far.

How do I install Scenario Analyzer?

Run "/install scenario-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Scenario Analyzer free?

Yes, Scenario Analyzer is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Scenario Analyzer support?

Scenario Analyzer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Scenario Analyzer?

It is built and maintained by Veera (@veeramanikandanr48); the current version is v0.1.0.

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