dsh-profile-lab

DeepSeek Harness Development & Runtime Low risk

Runs reproducible DSH profile and patch experiments with guided case authoring, assertions, Web comparison reports, recovery, and policy gates.

运行可复现的 DSH Profile 与 Patch 实验，并提供引导式用例构建、断言、Web 对比报告、恢复和策略门禁。

How to install

DeepSeek Harness dsh plugin add github:young-tim/dsh-profile-lab

About

DSH Profile Lab DSH Profile Lab 是 DeepSeek Harness 的本地实验与发布门禁工具。它在隔离 workspace 中重复运行多个 DSH profile/patch 组合，基于官方持久化 session 事件计算质量、token、费用、时延和稳定性，并输出可审计报告。产品包含完整的命令行闭环、三个 DSH 工具，以及 Web profile 会话中的“Profile 组合对比” 页签：profile_lab_run 完成后会自动生成报告，页签读取当前会话最近一次结构化报告； profile_lab_compare 仍可重新读取已有输出目录，展示方案概览、基线差异、用例矩阵与 Pareto 前沿。云托管、账号系统和自动安装插件仍不属于本产品边界。 Install as a DSH plugin 当前可直接从 GitHub 安装到 headless 或 web profile： bash dsh plugin --profile headless add github:young-tim/dsh-profile-lab 或 dsh plugin --profile web add github:young-tim/dsh-profile-lab 安装后重启对应 DSH 进程，模型即可使用 profile_lab_run、 profile…

GitHub ↗

Recommendation signals

48 Tool quality · Based on stars, downloads, maintenance, security and docs

– User interest · Adjusted by in-site views, install copies and download clicks

48 Overall

0views

0unique visitors

0install copies

0download clicks

0outbound clicks

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings: curated 收录但无 npm 包/安装命令
Sources: curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics: deepseek, deepseek-harness, dsh-plugin, evaluation

Related plugins

MCP Server New

Score100

langfuse

langfuse/langfuse

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

☆ 33.5K ↓ 7.9M Development & Runtime ↗

Claude Code New

Score92

claude-code-templates

davila7/claude-code-templates

CLI tool for configuring and monitoring Claude Code

☆ 30.3K ↓ 17.1K Development & Runtime ↗

Claude CodeCodex New

Score83

loki-mode

asklokesh/claudeskill-loki-mode

Multi-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 8 quality gates.

☆ 1.0K ↓ 38.1K Development & Runtime ↗