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Predict
作者
ProjectSnowWork
· GitHub ↗
· v1.0.0
· MIT-0
352
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0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install predict
功能描述
Prediction and forecasting system for trends, outcomes, and risks. Use when user mentions predictions, forecasts, trends, scenarios, or future outcomes. Anal...
安全使用建议
Do not assume this skill will perform the complex forecasting the description promises. What you have is a minimal script that prints template guidance and appends a short forecast record to ~/.openclaw/workspace/memory/predict/forecasts.json. Before installing or running: (1) Ask the author for the missing scripts (generate_scenarios.py, assess_risk.py, evaluate_probability.py, references/*) or a corrected SKILL.md; (2) Inspect those scripts to confirm they actually read and process data and do not contact external endpoints; (3) If you must run it, do so in a sandboxed environment and back up/monitor the ~/.openclaw/workspace/memory/predict directory to avoid unexpected file writes; (4) Prefer an updated package where declared capabilities match included code. If the author supplies the missing files and they perform as advertised (no unexpected network calls, proper data handling), this assessment could change to benign.
功能分析
Type: OpenClaw Skill
Name: predict
Version: 1.0.0
The skill bundle provides a framework for forecasting and risk assessment with no evidence of malicious intent or high-risk behavior. The provided script (forecast_trend.py) performs local file operations within a designated workspace directory (~/.openclaw/workspace/memory/predict) to store metadata and lacks any network access, command execution, or sensitive data exfiltration logic.
能力评估
Purpose & Capability
The skill's name and description promise forecasting, model building, scenario generation, probability evaluation, and accuracy tracking. The bundle only includes one simple script (forecast_trend.py) that prints a static forecasting framework and saves a short metadata record; it does not build models or read input data. SKILL.md references many other scripts and reference files that are not present, which is inconsistent with the stated capabilities.
Instruction Scope
SKILL.md instructs running multiple scripts (generate_scenarios.py, assess_risk.py, evaluate_probability.py, etc.) and passing data files (e.g., --data "historical.csv"), but those scripts are absent and forecast_trend.py doesn't accept a --data argument or read data. The instructions therefore overreach the actual runtime behavior and would likely produce runtime errors or silently do less than promised.
Install Mechanism
No install specification or external downloads are included (instruction-only with one script). This minimizes supply-chain risk; nothing is fetched or executed from remote URLs during install.
Credentials
The skill requests no environment variables or credentials. The included script writes to a local path (~/.openclaw/workspace/memory/predict), which aligns with SKILL.md's claim that prediction data is stored locally, though SKILL.md earlier referenced memory/predict/ (path mismatch is minor but noted).
Persistence & Privilege
The skill does not request permanent/always inclusion and does not require extra privileges. It will create a directory and write forecasts.json under the user's home workspace (~/.openclaw/workspace/memory/predict), so expect persistent local storage of generated forecast records.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install predict - 安装完成后，直接呼叫该 Skill 的名称或使用
/predict触发 - 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
v1.0.0
Initial release: Trend forecasting, scenario generation, risk assessment, and probability evaluation with uncertainty management
元数据
常见问题
Predict 是什么？
Prediction and forecasting system for trends, outcomes, and risks. Use when user mentions predictions, forecasts, trends, scenarios, or future outcomes. Anal... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 352 次。
如何安装 Predict？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install predict」即可一键安装，无需额外配置。
Predict 是免费的吗？
是的，Predict 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Predict 支持哪些平台？
Predict 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？
由 ProjectSnowWork（@projectsnowwork）开发并维护，当前版本 v1.0.0。
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