TLDRocket
Sign in

Agent Evaluation

53 summarised stories about Agent Evaluation, each linking back to the original source. Browse all topics →

+ Follow this topic

Key players

OpenAI Amazon Bedrock Anthropic Hugging Face vLLM Accio team

Thursday, 6 August 2026

Microsoft’s SkillOpt Shows Optimized Agent Skill Artifacts Transfer Across Model Scales and Between Codex and Claude Code Harnesses

MarkTechPost 2 months ago 38 ● 5 sources

Microsoft researchers developed SkillOpt, a text-space optimizer that trains natural-language skill documents to improve agent performance while keeping target models frozen. A skill trained on Codex for spreadsheet tasks scored 81.8 on Claude Code, exceeding Claude Code's own in-domain result of 80.4, demonstrating strong cross-harness transfer. Procedural skills like spreadsheet inspection transfer well across models and harnesses, while reasoning-heavy skills remain more tied to their training environment, enabling optimize-once-deploy-everywhere workflows.

Read the full story
AI Agents Agent Infrastructure Model Optimization Agent Evaluation

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.