competitor-radar竞品动态监控雷达。自动抓取竞品博客RSS、GitHub Release、HackerNews讨论,用AI评分筛选重要动态,生成结构化报告。当需要了解竞品最新动向、监控行业变化时使用。
Install via ClawdBot CLI:
clawdbot install xiaohuaishu/competitor-radarGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Hardcoded API key or token pattern found in skill definition
sk-RPBUoe2SH...Calls external URL not in known-safe list
https://example.com/rss.xmlUses known external API (expected, informational)
api.github.comAI Analysis
The skill contains a hardcoded API key pattern (sk-...) which is a high-risk credential exposure. While the external API calls (GitHub, RSS feeds) are consistent with the skill's stated purpose of competitor monitoring, the presence of a credential in the definition itself indicates a significant security flaw, potentially allowing unauthorized access to an AI service.
Generated Mar 21, 2026
A tech startup uses Competitor Radar to monitor rival companies' product updates and community discussions. By scanning RSS feeds and GitHub releases weekly, it identifies emerging features and trends, enabling proactive strategy adjustments and feature prioritization.
A marketing agency employs this skill to track competitors' content strategies and public announcements. It analyzes blog posts and HackerNews mentions to gauge market sentiment and campaign effectiveness, helping clients stay ahead in digital marketing trends.
Venture capital firms use Competitor Radar to assess portfolio companies' competitive landscapes. By generating structured reports on rival activities, they evaluate market positioning and risks, supporting investment decisions and portfolio management.
Product managers integrate this skill to gather insights on competitor releases and user feedback. It helps prioritize development tasks by highlighting important updates, ensuring products remain competitive and aligned with market demands.
Researchers utilize Competitor Radar to collect data on industry innovations and discussions. By analyzing automated reports, they study adoption patterns and competitive dynamics, contributing to academic papers and industry analyses.
Offer Competitor Radar as a cloud-based service with tiered pricing based on features like report frequency and AI scoring. Revenue is generated through monthly or annual subscriptions, targeting businesses needing continuous monitoring.
Provide custom integration and analysis services using this skill for clients in specific industries. Revenue comes from project-based fees or retainer contracts, offering tailored competitive intelligence solutions.
Distribute the skill as open-source software with basic features free to use. Monetize through premium add-ons like advanced AI scoring, extended data sources, or enterprise support, driving revenue from upgrades.
💬 Integration Tip
Ensure Python 3 is installed and configure the YAML file with accurate competitor details; use the --no-ai flag for faster initial scans to test setup.
Scored Jun 19, 2026
Audited Apr 16, 2026 · audit v1.0
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