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Tech Trend Radar

作者 chad · GitHub ↗ · v1.3.1 · MIT-0
cross-platform ✓ 安全检测通过
119
总下载
1
收藏
0
当前安装
6
版本数
在 OpenClaw 中安装
/install tech-trend-radar
功能描述
Use when generating current technology, AI model ranking, product, startup, funding, regulation, or market trend reports from recent industry updates
安全使用建议
This skill is an instruction-only research template that asks the agent to fetch and synthesize public, recent signals (leaderboards, GitHub, company blogs). Before installing, confirm you are comfortable with the agent having network/browsing access and storing generated reports in its memory/storage. If you do not want live web access, do not enable browsing or deny the agent the HTTP/browse tools. There are no requested secrets or installs, so the main privacy consideration is what the agent will save into its memory and what external sites it will visit during research.
功能分析
Type: OpenClaw Skill Name: tech-trend-radar Version: 1.3.1 The tech-trend-radar skill is a well-structured tool designed for generating technology and AI market trend reports. It provides detailed instructions for the agent to aggregate data from public sources such as GitHub Trending, AI model leaderboards (e.g., LMArena), and official company announcements. The workflow involves saving reports to a local memory directory and publishing event metadata, which are standard OpenClaw patterns. No evidence of data exfiltration, credential theft, or malicious execution was found in SKILL.md or README.md.
能力评估
Purpose & Capability
Name/description ask for up-to-date trend reports and SKILL.md gives a research workflow and source priorities that match that purpose. There are no unrelated environment variables, binaries, or installs demanded.
Instruction Scope
Instructions require re-running live searches, checking leaderboards, GitHub Trending, and Anthropic/OpenAI announcements — i.e., network/browsing access is expected. The skill also suggests saving reports under memory/research/..., which is consistent with producing outputs but means reports may be written to the agent's memory/storage.
Install Mechanism
No install spec and no code files — instruction-only; nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The workflow references public sources but does not request secrets or unrelated credentials.
Persistence & Privilege
always:false and default autonomous invocation are normal. The only persistence hint is the suggested report path (memory/research/...), meaning the agent may store generated reports in its memory — this is expected but be aware of stored report content.
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 tech-trend-radar
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tech-trend-radar 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
v1.3.1
v1.3.1: 优化报告生成性能、增加超时时间到 600 秒、完善中国模型监控(GLM/Qwen/Kimi/MiniMax/Step/DeepSeek 等)、优化定时任务配置
v1.3.0
v1.3.0: 新增中国模型监控 - 新增智谱 GLM、阿里 Qwen、月之暗面 Kimi、MiniMax、阶跃星辰 Step、DeepSeek、百川、01.AI 等中国大模型公司追踪、新增 OpenCompass/C-Eval 等中文基准排行榜监控、新增中国 AI 初创公司融资动态、Company Strategy Watch 新增 Alibaba Qwen 和 Zhipu AI 专栏、GitHub Trending 增加中国仓库监控、Model Reranking 支持中国模型进入 Top 10 榜单
v1.2.0
v1.2.0: 重大策略更新 - 新增时间窗口分析 (1w/1m/3m)、新增 Model Reranking Watch (Top 10 排行榜)、新增 Claude Agent Watch (managed agents/agent teams/enterprise controls)、新增 Company Strategy Watch (OpenAI/Anthropic/Google/Microsoft)、新增 GitHub Trending Watch、强化连续性规则 (刷新/delta/标签)、强化深度要求 (What/Why/Evidence/Action)、新增 Anthropic/Claude Agent 信号追踪
v1.1.1
v1.1.1: 统一输出路径前缀为 memory/research/tech-trend-radar-*,支持按周期 (WXX/1m/3m) 和主题 (ai-agents 等) 分类存储报告
v1.1.0
v1.1.0: 新增 AI Model Ranking 信息追踪功能,支持 LMArena、Artificial Analysis、LiveBench、SWE-bench、OpenRouter 等多个排行榜;新增 GitHub Trending 信号追踪;新增时间窗口 (1w/1m/3m) 分析支持
v1.0.0
Initial release of tech-trend-radar - Generates up-to-date technology and market trend reports across AI, SaaS, developer tools, cloud, security, startups, funding, and regulation. - Prioritizes signals based on source quality, GitHub momentum, business impact, and actionability. - Supports multiple reporting periods (1w/1m/3m) and compares short-term and durable trends. - Includes reproducible research workflow, clear report format, and scoring criteria for industry signals. - Monitors GitHub Trending and major categories for actionable insights and early trend detection.
元数据
Slug tech-trend-radar
版本 1.3.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 6
常见问题

Tech Trend Radar 是什么?

Use when generating current technology, AI model ranking, product, startup, funding, regulation, or market trend reports from recent industry updates. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 119 次。

如何安装 Tech Trend Radar?

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

Tech Trend Radar 是免费的吗?

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

Tech Trend Radar 支持哪些平台?

Tech Trend Radar 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 Tech Trend Radar?

由 chad(@chadlwm)开发并维护,当前版本 v1.3.1。

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