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predict-intelligence

作者 Anygen Selected Skill · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
282
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当前安装
2
版本数
在 OpenClaw 中安装
/install predict-intelligence
功能描述
Predict intelligence skill for AI agents. Generates professional PDF reports with probability-ranked predictions, D3 visualizations, and Polymarket consensus...
安全使用建议
What to check before installing: - Dependency mismatch: SKILL.md claims only Playwright is needed but the code imports Jinja2 and requests and a requirements.txt lists additional packages. Verify and install all required Python packages (pip install -r scripts/requirements.txt) or run in an isolated environment. - Network activity: the skill performs many web searches, fetches article URLs, queries Polymarket's public API (https://gamma-api.polymarket.com), and loads assets from CDNs (fonts, D3). If you need to prevent outbound network calls, do not grant network access or run in a sandbox. - Chromium download: Playwright install will download Chromium automatically — plan for that disk/network usage. - Data handling: the agent will read/write files (templates, HTML, PDFs) and persist collected URLs and content. Avoid running it where sensitive files or credentials may be exposed; confirm it doesn't access any local paths you want private. - Audit external endpoints: the Polymarket API is public per docs, but review any third-party endpoints (worldmonitor.app references, CDNs) to ensure they are acceptable for your environment. - Testing: run the scripts manually in a disposable environment first (e.g., virtualenv or container), confirm outputs, and inspect generated HTML for any unintended external links or scripts. - If you are uncomfortable with broad web scraping or handling geopolitical content, restrict use or require human review before the agent executes its research steps.
功能分析
Type: OpenClaw Skill Name: predict-intelligence Version: 1.0.1 The 'predict-intelligence' skill bundle is a legitimate tool designed to generate professional PDF intelligence reports based on web research and Polymarket data. It utilizes standard Python libraries (Jinja2, Requests) and Playwright for HTML-to-PDF conversion. While the skill requires high-privilege capabilities such as shell execution and network access, these are strictly aligned with its stated purpose of data fetching and report rendering. Analysis of the scripts (build_report.py, fetch_polymarket.py, to_pdf.py) and the SKILL.md instructions revealed no evidence of data exfiltration, malicious payloads, obfuscation, or harmful prompt injection.
能力评估
Purpose & Capability
The skill claims to only need Playwright for PDF conversion, but shipped code and requirements contradict that: scripts/build_report.py imports Jinja2, scripts/fetch_polymarket.py requires requests, and scripts/requirements.txt lists jinja2, requests, staticmap, Pillow, and playwright. The SKILL.md explicitly states 'Jinja2, requests, etc. are NOT required', which is false given the code. This mismatch between stated minimal dependencies and actual required packages is incoherent.
Instruction Scope
Runtime instructions require broad web research (at least 8 web searches), fetching and saving exact article URLs, writing new HTML files from the template, and running local Python scripts. For geopolitical topics the agent is explicitly asked to collect lat/lon and ISO codes for locations. The workflow therefore requires network access, file read/write, and arbitrary URL fetching — expected for this skill but significant from a data-collection perspective. The template and examples load fonts and D3/topojson from CDNs (external network requests during rendering).
Install Mechanism
There is no formal install specification (instruction-only), which minimizes scripted install risk, but the repository includes a requirements.txt and Python scripts that will fail if dependencies are not installed. SKILL.md's install guidance only mentions Playwright (pip install playwright && playwright install chromium) and claims other Python packages are unnecessary — this is inaccurate. Absence of an authoritative install step combined with mismatched docs increases the chance an integrator will miss required packages or inadvertently run incomplete setup steps.
Credentials
The skill does not request environment variables, credentials, or config paths. External network calls are limited to public CDNs and documented APIs (Polymarket's gamma-api and optionally worldmonitor.app referenced in docs). No secrets are required by the code as provided, so requested privileges are proportionate to the stated purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated agent privileges. It writes files in the working directory (HTML/PDF), runs local scripts, and uses network fetches — expected behavior for a report generator. Nothing indicates it modifies other skills or requests persistent system-wide configuration changes.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install predict-intelligence
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /predict-intelligence 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
No changes detected in this version (1.0.1). The skill's documentation and functionality remain the same.
v1.0.0
predict-intelligence 1.0.0 - Initial release of the Predict Intelligence skill for AI agents. - Generates concise, professional PDF intelligence briefs with probability-ranked predictions, visualized using D3 charts. - Integrates up-to-date web research, expert analysis, and Polymarket consensus signals across geopolitics, finance, tech, elections, and custom domains. - Produces consistently formatted reports in under 30 seconds reading time, including actionable drivers, watch lists, and regional maps where relevant. - Requires only Playwright (no extra Python packages), following a strict, template-based workflow for structure and visualization.
元数据
Slug predict-intelligence
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

predict-intelligence 是什么?

Predict intelligence skill for AI agents. Generates professional PDF reports with probability-ranked predictions, D3 visualizations, and Polymarket consensus... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 282 次。

如何安装 predict-intelligence?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install predict-intelligence」即可一键安装,无需额外配置。

predict-intelligence 是免费的吗?

是的,predict-intelligence 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

predict-intelligence 支持哪些平台?

predict-intelligence 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 predict-intelligence?

由 Anygen Selected Skill(@ken-chy129)开发并维护,当前版本 v1.0.1。

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