lucky-collaborative-researchLucky (internet) + Jinx (analysis) collaborative research workflow. Lucky gathers raw data from web sources, Jinx analyzes and structures findings. Use for m...
Install via ClawdBot CLI:
clawdbot install rmbell09-lang/lucky-collaborative-researchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:3001/taskCalls external URL not in known-safe list
http://localhost:3001/taskAI Analysis
The skill's external call is to localhost (http://localhost:3001/task), which is a local machine endpoint, not an external server. This is consistent with the described collaborative workflow between two local AI instances (Lucky and Jinx). No evidence of credential harvesting, user data exfiltration, or hidden malicious instructions was found.
Audited Apr 17, 2026 · audit v1.0
Generated Oct 3, 2026
A SaaS founder needs to understand how rival products position their pricing tiers and feature bundles. Lucky scrapes competitor pricing pages and documentation while Jinx extracts tiers, limits, and differentiators into a structured comparison matrix.
An e-commerce seller wants to identify trending digital products, bundle sizes, and price ranges on platforms like Gumroad or Etsy. Lucky captures listings and metadata in bulk, then Jinx clusters them by category and surfaces pricing patterns and gaps.
A developer evaluating third-party APIs needs to compare capabilities, rate limits, and authentication flows across vendors. Lucky gathers raw documentation pages while Jinx extracts and normalizes the technical details into a side-by-side capability table.
A content strategist wants to validate interest in emerging topics before investing in campaigns. Lucky pulls Google Trends and marketplace data, while Jinx identifies seasonality, growth curves, and regional patterns to inform content planning.
An analyst compiling insights across dozens of articles on a niche topic needs thematic extraction without reading everything manually. Lucky captures full text from each source, and Jinx summarizes themes, contradictions, and consensus points into a report.
Offer ongoing market and competitive intelligence reports delivered on a recurring cadence using this two-agent workflow. Clients subscribe for monthly trend briefs, pricing monitors, or competitor matrices tailored to their niche.
Sell fixed-scope, fixed-price research engagements (e.g., 'Competitor Pricing Audit in 5 Days') where clients receive a structured deliverable built from Lucky's scraping and Jinx's analysis. Deliverables are templated for fast turnaround.
License the workflow as an internal productivity layer for marketing, SEO, or consulting agencies that need to speed up client research. The agents handle data gathering and first-pass analysis while staff focus on strategy.
💬 Integration Tip
Pre-configure the Jinx task endpoint and shared SSD directory structure, and always sanitize scraped HTML by stripping script tags before dispatching analysis tasks to keep the pipeline secure and reliable.
Scored Oct 3, 2026
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