agent-context-lab
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%→83%), default-FAIL verification against false completions, and KV-cache prefix design (21%→90%). Stdlib-only, real deepseek-chat runs
任务集（tasks.py）：5 个多步骤真实风格任务（CSV 汇总 / 跨文件重命名重构 / 大日志统计 / 文档索引 / 配置迁移），每个任务带 3 条硬性约束，且工作区刻意放大文件制造上下文压力，逼 compaction 真实触发。
⚡ How to use agent-context-lab
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/qin-sor-agent-context-labCapabilities
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