compareRigorous comparisons with confidence parity, weighted criteria, and research depth tracking.
Install via ClawdBot CLI:
clawdbot install ivangdavila/compareGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A user wants to compare two laptops for purchase, focusing on performance, battery life, and price. The agent ensures equal research depth on each laptop for all criteria, using sources like reviews and specs, before scoring and presenting a winner with confidence levels.
A small business needs to choose between two cloud hosting providers based on uptime, cost, and support. The agent applies weighted criteria, researches each provider equally, and outputs a detailed comparison with caveats if data is imbalanced.
An investor compares two stocks using criteria like risk, growth potential, and dividends. The agent tracks research parity across sources, checks confidence in data recency, and presents scores with alternative winners if priorities shift.
A patient evaluates two treatment options based on effectiveness, side effects, and cost. The agent researches medical studies equally, ensures source quality parity, and provides a structured result with explicit caveats for any imbalances.
A student compares two online courses for learning a skill, weighing factors like content quality, instructor reputation, and price. The agent uses domain defaults, overlays user preferences, and delivers a confidence-checked comparison.
Offer this skill as part of a subscription-based platform for businesses needing regular comparisons, such as procurement or market analysis. Revenue comes from monthly fees per user or tiered plans based on usage volume.
Integrate the skill into consulting services for industries like finance or healthcare, where clients pay for detailed, unbiased comparisons to support decision-making. Revenue is generated through project-based fees or retainer agreements.
Provide a free basic version for individual users with limited comparisons, and charge for advanced features like deeper research tracking or priority support. Revenue comes from premium upgrades and enterprise licenses.
💬 Integration Tip
Integrate this skill into decision-support systems by linking it to domain-specific databases and user preference tracking for personalized comparisons.
Scored Apr 18, 2026
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For quick lookups or news, use parallel-search instead.
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structu...
AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with ci...