Scenario Forecaster — 技能工具
v1.3.0AI-driven event forecasting skill. Collects multi-source data, cross-validates facts, maps future scenarios with probabilities, and delivers actionable recom...
0· 63·0 当前·0 累计
by 安全扫描
OpenClaw
安全
medium confidenceThe skill's files and runtime instructions are internally consistent with a forecasting/reporting tool and do not request disproportionate credentials or installs, but there are a few implementation and transparency gaps you should be aware of before trusting outputs or connecting private data sources.
评估建议
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., specifi...详细分析 ▾
✓ 用途与能力
Name, description, prompt, YAML workflow and examples all consistently describe a forecasting/PESTEL/scenario-mapping capability. Requested inputs and outputs match the declared purpose.
ℹ 指令范围
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.
✓ 安装机制
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.
ℹ 凭证需求
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.
✓ 持久化与权限
No persistent or elevated privileges requested. always: false and no install hooks are present. The skill does not modify other skills or system config.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.3.02026/4/11
v1.3.0: Security sanitization - removed Unicode chars, neutralized action names, pure English interface to avoid false positives.
● 无害
安装命令 点击复制
官方npx clawhub@latest install scenario-forecaster
镜像加速npx clawhub@latest install scenario-forecaster --registry https://cn.clawhub-mirror.com
技能文档
Stop guessing. Start forecasting. Let AI systematically map every possible future path and give you a tailored action checklist.
Core Capabilities
| Feature | Description |
|---|---|
| Multi-source data | News, academic papers, social media sentiment, government reports |
| Cross-validation | Verify facts across 2+ independent sources with confidence ratings |
| PESTEL analysis | Structured driver identification across 6 dimensions |
| Scenario mapping | Generate 3-5 logically self-consistent future paths |
| Probability assessment | Bayesian-informed probability estimates per scenario |
| Role-based recommendations | Tailored do/don't lists for investors, managers, policymakers |
Execution Protocol
- Collect - Gather information from 5 source types
- Validate - Cross-check facts, rate confidence
- Analyze - Identify drivers using PESTEL framework
- Map scenarios - Build paths with triggers and milestones
- Assess probability - Assign Bayesian-informed estimates
- Recommend - Generate role-specific action checklists
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| event_description | string | required | Event or topic to forecast |
| time_horizon | string | 6 months | Forecast period |
| focus_dimensions | list | Economic, Political, Technological | PESTEL dimensions |
| num_paths | int | 3 | Number of scenario paths (3-5) |
Quick Start
Forecast: Impact of Fed rate cuts over 6 months on global tech stocks.
Focus: Economic and Technological dimensions.
Full example in examples/output_fed_rate.md.
数据来源：ClawHub ↗ · 中文优化：龙虾技能库
OpenClaw 技能定制 / 插件定制 / 私有工作流定制
免费技能或插件可能存在安全风险，如需更匹配、更安全的方案，建议联系付费定制