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Install in OpenClaw
/install tech-trend-radar
Description
Use when generating current technology, AI model ranking, product, startup, funding, regulation, or market trend reports from recent industry updates
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tech-trend-radar - After installation, invoke the skill by name or use
/tech-trend-radar - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Tech Trend Radar?
Use when generating current technology, AI model ranking, product, startup, funding, regulation, or market trend reports from recent industry updates. It is an AI Agent Skill for Claude Code / OpenClaw, with 119 downloads so far.
How do I install Tech Trend Radar?
Run "/install tech-trend-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tech Trend Radar free?
Yes, Tech Trend Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tech Trend Radar support?
Tech Trend Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tech Trend Radar?
It is built and maintained by chad (@chadlwm); the current version is v1.3.1.
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