lor-skillA modular 5-step engineering verification loop ensuring reliable execution and output validation for complex tasks like coding and planning.
Install via ClawdBot CLI:
clawdbot install uwe77/lor-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/lumi77-mac/lor-skillAudited Apr 18, 2026 · audit v1.0
Generated May 21, 2026
In software development, LoR can automate the verification of complex code changes by recursively checking logic, syntax, and dependencies. It reduces manual review time and catches edge cases overlooked by developers.
For system architects, LoR validates multi-step architectural plans against requirements and constraints. It forces execution of each component, checks results, and iterates until the design is sound.
Financial analysts can use LoR to simulate and verify complex financial models under various scenarios. The loop ensures each sub-calculation is correct before aggregating, improving forecast reliability.
In healthcare, LoR can assist clinicians by verifying diagnostic pathways. It steps through symptoms, tests, and results, checking consistency and prompting re-evaluation if contradictions arise.
Logistics companies can apply LoR to verify multi-step supply chain plans, from procurement to delivery. It forces execution of each leg, checks against constraints, and re-routes if necessary.
Offer basic LoR usage for free with limited loops per month. Charge for higher limits, faster processing, or priority support.
Sell licenses to companies that integrate LoR into their CI/CD pipelines or internal tools. Provide custom support and SLAs.
Offer LoR as an API endpoint, charging per verification loop or monthly subscription. Developers integrate it into their own applications.
💬 Integration Tip
Integrate via the auto-registration hook [REGISTER_LOR_SKILL] into agent memory; ensure Node.js v16+ and OpenClaw environment are set.
Scored May 21, 2026
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.
使用豆包(火山引擎)语音合成大模型 API 将文本转换为语音音频文件。支持声音复刻音色(S_ 开头的音色ID)和官方预置音色。当用户要求"语音合成"、"文字转语音"、"TTS"、"朗读文本"、"生成语音"、"用我的声音读"、"豆包语音"、"声音复刻合成"等相关请求时,务必使用此 skill。即使用户只是说"帮我把...
Intelligent model routing for sub-agent task delegation. Choose the optimal model based on task complexity, cost, and capability requirements. Reduces costs...
自动生成科技新闻摘要。从多个来源(RSS、Twitter、GitHub、Web Search)抓取科技新闻,整合后生成摘要。
Sync OpenRouter models used by OpenClaw into this installation's config. Fetches the OpenClaw app leaderboard from OpenRouter, verifies model IDs against the...