ClawHub

Scenario Forecaster

v1.3.0

AI-driven event forecasting skill. Collects multi-source data, cross-validates facts, maps future scenarios with probabilities, and delivers actionable recom...

⭐ 0· 76·0 current·0 all-time
by@onecore-me
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
medium confidence
✓
Purpose & Capability
Name, description, prompt, YAML workflow and examples all consistently describe a forecasting/PESTEL/scenario-mapping capability. Requested inputs and outputs match the declared purpose.
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Instruction Scope
Runtime instructions ask the agent to 'collect' from multiple source types (news, academic papers, social media, government reports) and to cross-validate facts across 2+ sources. That scope is reasonable for the stated purpose, but the skill does not specify how to fetch these sources (APIs, scraping, aggregator services). It also asks for concrete trading-style actions (e.g., 'Buy put options at price X as hedge'), which are actionable recommendations — not inherently incoherent but worth flagging for user caution and compliance.
✓
Install Mechanism
No install spec and no code files — this is an instruction-only skill. README mentions an 'npx clawhub install' convenience, but no install files are present. No downloads, binaries, or archives are involved.
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Credentials
The skill declares no required env vars or credentials (consistent with being instruction-only). Documentation mentions third-party aggregators (serpapi, newsdata.io, gnews) and suggests adding private data APIs in workflow; if you connect those, you will need to supply credentials — the skill itself does not request or store them. This is proportional but users should understand credentials must be provided externally if live data access is desired.
✓
Persistence & Privilege
No persistent or elevated privileges requested. always: false and no install hooks are present. The skill does not modify other skills or system config.
Assessment
This skill appears to be a coherent, instruction-only forecasting prompt/workflow — it does not install code or request secrets by itself. Things to check before using: 1) The README mentions one-click install and the docs mention API integrations, but no installer or connectors are included; verify how you plan to supply live data (aggregator APIs or scraping) and provide any API keys only to software you trust. 2) The skill may produce concrete, actionable financial instructions (e.g., specific option trades); treat those as analysis, not professional advice, and verify with human experts/compliance before acting. 3) If you add private data sources (CRM, sales, internal APIs) follow least-privilege practices for any credentials and review where the agent will send data. 4) Minor inconsistencies: the YAML lists version 1.2.0 while registry metadata is 1.3.0 — ask the publisher for the authoritative bundle if provenance matters. If you need higher assurance, request an implementation that provides explicit data-source connectors, logging, and a clear policy for external web access.

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.
Termshttps://spdx.org/licenses/MIT-0.html

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