RLM Tools
Your AI coding agent spends most of its token budget just *reading* your code — not reasoning about it. Every grep, file read, and glob result gets dumped into the conversation. On a large codebase, that's 25-35% of your context (and cost) burned on raw data the model never needed to see.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
⚡ Reliability
Interface
Authentication
Pricing
Agent Metadata
Full Evaluation Report
Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for RLM Tools.
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Package Brief
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Score Monitoring
Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.
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Scores are editorial opinions as of 2026-03-21.