Einstein Research — Headline Scenario Analyzer
v0.1.0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。\nscenario-analystエージェントで主分析を実行し、\nstrategy-reviewerエージェントでセカンドオピニオンを取得。\n1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。\n使用例: /scen...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (headline → 18‑month scenario analysis with two agents) match the SKILL.md and reference files. The README and references support the declared features (multi-agent workflow, sector matrices, playbooks).
Instruction Scope
SKILL.md provides explicit runtime instructions to spawn two agents (scenario-analyst and strategy-reviewer) using a sessions_spawn command and a specific model (gemini/gemini-2.5-pro). The instructions stay within the stated purpose and do not reference unrelated files, credentials, or external endpoints. Note: the workflow assumes platform support for sessions_spawn and pre-configured agents; the skill instructs model invocation rather than arbitrary file reads or exfiltration.
Install Mechanism
Instruction-only skill with no install spec and no code files. No downloads, packages, or binaries are requested—lowest install risk.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. This is proportionate to its stated function (analysis using configured LLM agents).
Persistence & Privilege
Flags are default (always:false, disable-model-invocation:false). The skill does not request permanent presence or elevated system privileges.
Assessment
This skill appears coherent and does not request secrets or install code. Before installing: 1) Confirm your platform supports the sessions_spawn workflow and that the named agents (scenario-analyst, strategy-reviewer) are configured as intended; the README references a python script (scripts/scenario_analyzer.py) that is not present in the package — expect manual configuration. 2) Understand the skill invokes LLM agents (it will call models like gemini/gemini-2.5-pro) — verify where those model requests are sent and whether logs/outputs are retained by your provider. 3) Remember outputs include stock recommendations; this is analytical assistance, not trade execution—do not supply sensitive credentials or private data to the skill, and treat recommendations as advisory only. If you need higher assurance, ask the publisher for the missing helper scripts and exact agent deployment instructions before use.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.