dsh-observation-journal
DeepSeek Harness 零侵入运行事实遥测:每个会话自动把任务/模型档位/工具/失败/时长/状态写入人机共读观测卡并附统计区(纯观察者——零工具、零 LLM、零注入)。
Zero-touch runtime telemetry for DSH: every session auto-writes task, model tier, tools, failures, duration, status into a human-readable journal with a stats section (pure observer — no tools, no LLM calls, no injection).
怎么安装
dsh plugin add github:Cavan-Ou/dsh-observation-journal 简介
dsh-observation-journal **Zero-touch runtime telemetry for DeepSeek Harness: every session writes its own report card.** 简体中文版见 README.zh.md A pure observer plugin (zero tools registered, zero LLM calls, zero agent involvement). When a session ends, it writes the run's facts — task, model tier, tools, failures, duration, status — into a human-readable journal with an auto-updated stats section. Why it exists Failures have a recorder (dsh-fail-logger). Successes and run facts didn't. This is the sibling: **what happened** — not how to solve it, not what to remember. No tools, no injection, no r…
推荐参考
信息
- 协议
- MIT
- 语言
- JavaScript
- GitHub 星标
- 3
- 月下载
- –
- 最近更新
- 2026-08-14
- 创建于
- 2026-08-14
基础安全检查
- 检查结果
- curated 收录但无 npm 包/安装命令
- 收录来源
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin, curated:0xsline/awesome-deepseek-harness
- 主题标签
- deepseek-harness, dsh, dsh-plugin, observability, observation, skill, telemetry
同类推荐
langfuse
langfuse/langfuse
🪢 开源AI工程平台:LLM评估、可观测性、指标、提示管理、游乐场、数据集。与OpenTelemetry、LangChain、OpenAI SDK、LiteLLM等集成。🍊YC W23