stripfeedFetch any URL as clean, AI-ready Markdown with token counts and caching. Strip ads, nav, scripts, and noise from web pages.
Install via ClawdBot CLI:
clawdbot install atlasopenclaw/stripfeedGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://www.stripfeed.dev/api/v1/batchCalls external URL not in known-safe list
https://www.stripfeed.devAI Analysis
The skill's external API usage is consistent with its stated purpose of fetching and cleaning web content, and the endpoint is documented in the skill definition. However, the undocumented batch endpoint (POST /api/v1/batch) represents a minor risk of uncontrolled data exfiltration, though it appears to be a logical extension of the core functionality.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Financial analysts use StripFeed to extract clean content from competitor websites, news articles, and financial reports. The token counting feature helps them manage API costs when processing multiple sources for trend analysis and investment recommendations.
Marketing teams curate industry articles and blog posts to create weekly newsletters. StripFeed removes ads and navigation clutter, providing clean Markdown that can be easily reformatted and combined with original commentary for subscriber distribution.
Researchers gather scientific papers, conference proceedings, and technical documentation from various university and publisher websites. The clean Markdown output allows for easier text analysis, citation extraction, and literature review compilation without HTML noise.
Product managers track competitor feature updates, pricing pages, and documentation changes. The caching and batch capabilities allow scheduled monitoring of multiple URLs while the selector feature extracts only relevant content sections for comparison.
Law firms extract terms of service, privacy policies, and regulatory documents from client and competitor websites. The token counting helps estimate processing costs for large documents while clean Markdown facilitates clause comparison and compliance checking.
Offer 200 free monthly requests to attract individual developers and small teams, then convert them to a $19/month Pro plan with 100K requests and advanced features. This model leverages the low marginal cost of API calls while providing clear upgrade incentives through feature limitations.
Sell custom enterprise plans to large organizations needing higher volume, dedicated support, and SLA guarantees. This includes features like custom caching rules, higher rate limits, and integration support for internal AI pipelines and content management systems.
License the stripping technology to other SaaS platforms that need clean content extraction as part of their offerings. This could include AI writing tools, research platforms, or marketing automation systems that want to offer URL-to-content features without building their own parsers.
💬 Integration Tip
Start with the free plan's curl examples to test basic functionality, then implement the JSON format for production use to get token counts and metadata alongside content.
Scored Jun 19, 2026
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