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law52525

Market Radar

by double · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
313
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install market-radar
Description
Industry hotspot and competitor monitoring across 5 dimensions. Use when user (in Chinese) asks to monitor an industry (监测...行业) and provides competitor URLs...
Usage Guidance
This skill appears to be a legitimate market‑monitoring workflow, but it has one important mismatch you should resolve before using it: the instructions say results will be delivered via Telegram but the skill declares no Telegram token/chat configuration. Ask the publisher how delivery is implemented and where to supply a bot token/chat id; do not provide credentials until you confirm the intended flow. Also verify that you want the agent to perform live browsing (it will visit public competitor sites and take snapshots), and confirm agent-browser will run in a safe environment with network access. If you plan to allow autonomous runs, be aware the agent can perform repeated web requests on its own — ensure that behavior and any data retention/logging are acceptable. If these questions are answered satisfactorily (especially delivery credentials), the remaining design is coherent.
Capability Analysis
Type: OpenClaw Skill Name: market-radar Version: 1.0.0 The 'Market Radar' skill is a legitimate market intelligence tool designed to perform structured industry and competitor analysis using the `agent-browser` CLI. The skill follows a well-defined workflow in SKILL.md to gather data from international news sources (e.g., Google News, Reddit) and analyze competitor websites across five specific dimensions like brand activity and strategic signals. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the logic is entirely consistent with its stated purpose of providing market insights.
Capability Assessment
Purpose & Capability
The name/description (competitor & industry monitoring) matches the SKILL.md instructions to perform multi‑source web research and a 5‑dimension competitor scan. Requiring an 'agent-browser' binary is coherent with the explicit mandate to use a CLI browser for snapshots. However, the SKILL.md promises delivery 'via Telegram' yet the registry metadata and requires.env declare no Telegram credentials or delivery mechanism — that mismatch is unexplained.
Instruction Scope
Instructions are detailed and narrowly scoped to English-language, international sources and a defined five-step scan. The skill mandates using the agent-browser CLI for all browsing (no fallback), persistent sessions, snapshot/screenshot actions, and scraping of specific selectors and keyword checks (references/monitoring-rules.md). This is appropriate for the stated purpose, but it also means the agent will perform extensive live web requests and capture page snapshots — confirm you are comfortable with that network access and that target URLs are public. The Telegram delivery step is referenced but not specified in runtime steps (no commands or credentials shown).
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. It only requires that an 'agent-browser' binary exists on PATH; nothing in the skill pulls executables or downloads code.
Credentials
The skill declares no required environment variables or credentials, yet the SKILL.md describes automatic delivery of results via Telegram. Sending messages to Telegram requires a bot token and chat identifiers (or other delivery credentials). The absence of any declared env vars (TELEGRAM_TOKEN, TELEGRAM_CHAT_ID, etc.) or guidance on how to wire delivery is an incoherence that could mean the skill is incomplete or relies on undocumented platform-level secrets. Otherwise, requested access (web browsing) is proportionate for the task.
Persistence & Privilege
always:false and no install hooks or config writes are present. The skill can be invoked autonomously by the agent (platform default), which is expected for skills that perform automated monitoring; there is no evidence it requests permanent elevated privileges or modifies other skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install market-radar
  3. After installation, invoke the skill by name or use /market-radar
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Market Radar 1.0.0 — Initial Release - Enables 5-dimensional monitoring of industry hotspots and competitor activity via international English sources. - Triggers when users request industry or competitor monitoring in Chinese and provide URLs. - Systematically browses and analyzes news, forums, and niche sites using agent-browser CLI exclusively. - Delivers a structured Chinese-language daily brief, highlighting alerts and action recommendations, formatted for Telegram. - Strict source controls and methodology ensure consistent, internationally-focused market intelligence.
Metadata
Slug market-radar
Version 1.0.0
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is Market Radar?

Industry hotspot and competitor monitoring across 5 dimensions. Use when user (in Chinese) asks to monitor an industry (监测...行业) and provides competitor URLs... It is an AI Agent Skill for Claude Code / OpenClaw, with 313 downloads so far.

How do I install Market Radar?

Run "/install market-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Market Radar free?

Yes, Market Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Market Radar support?

Market Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Market Radar?

It is built and maintained by double (@law52525); the current version is v1.0.0.

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