doc-minerExtract summaries, answers, or structured data from any URL, PDF, or raw text. Auto-detects mode from task.
Install via ClawdBot CLI:
clawdbot install unixlamadev-spec/doc-minerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://aiprox.dev/api/orchestrateCalls external URL not in known-safe list
https://aiprox.devAI Analysis
The skill sends user-provided text/URLs to a documented external API (aiprox.dev) for processing, which is consistent with its stated purpose of document analysis. While the endpoint is not on a known-safe list, there's no evidence of credential harvesting, hidden instructions, or obfuscation. The main risk is data exposure to a third-party service.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Law firms can use Doc Miner to quickly summarize lengthy case files, extract key dates, entities, and monetary figures from contracts or legal briefs. This accelerates research, reduces manual review time, and ensures critical details are not overlooked during case preparation.
Researchers and students can input URLs of academic papers or paste text to generate summaries, answer specific questions about content, or extract structured data like cited entities and publication dates. This aids in literature reviews, data collection, and understanding complex studies efficiently.
Companies can analyze quarterly reports, market research PDFs, or competitor webpages to extract summaries, key metrics, and numerical data such as financial figures. This supports strategic decision-making, trend analysis, and automated report generation for stakeholders.
Media organizations can process articles from various sources to create concise summaries, extract entities like people and organizations, and identify dates for timeline-based reporting. This streamlines content curation, fact-checking, and news aggregation for faster publishing.
Offer tiered subscription plans based on usage volume, such as monthly API calls or document processing limits. This provides predictable revenue from businesses integrating Doc Miner into their workflows, with premium tiers for higher throughput and advanced features like custom extraction templates.
Charge users per document processed or per API call using the AIPROX_SPEND_TOKEN system. This model appeals to occasional users or small businesses with variable needs, allowing low entry costs and scalability without long-term commitments, with revenue tied directly to usage spikes.
License Doc Miner as a white-label solution for large enterprises in industries like legal or finance, who can embed it into their proprietary platforms. This includes custom integrations, dedicated support, and volume discounts, generating high-value contracts and long-term partnerships.
💬 Integration Tip
Set the AIPROX_SPEND_TOKEN environment variable securely and use the provided curl example to test API calls before full integration.
Scored Apr 19, 2026
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