dsh-prompt-studio ⚡

Prompt & Agent Preset Evolution Studio for DeepSeek Harness
Git-style versioning, timeline diff, golden test bench, and one-click regression evaluation.

English | 简体中文

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What is it?

Fine-tuning your agent's system prompt or skills is often an intuitive gamble: “Did this change actually improve reasoning, or did it break formatting and safety?”

dsh-prompt-studio brings professional prompt engineering & regression evaluation directly into the DeepSeek Harness Web GUI:

• 📝 Live Prompt Editor & Draft Workspace: Real-time token counter and syntax-friendly editing.
• ⏳ Git-Style Version Timeline: Every change is snapshot with commit message, timestamp, and one-click rollback.
• 🎯 Golden Test Regression Bench: Pre-configured test cases (Coding, Reasoning, Refactor, Safety). Evaluate prompt performance objectively with scoring and latency feedback before deploying to production.
• 🔄 Dynamic Cordis Injection: Seamlessly injects the currently activated prompt version into the agent's system instruction chain without restarting the host.

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Installation

From DSH Market (One-click)

Open Settings → Plugin Market, search for dsh-prompt-studio and click Install.

From CLI

dsh plugin --profile web add dsh-prompt-studio

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Quick Tour

1. Open Settings → Prompt Studio ⚡.
2. Edit your system instructions in the Prompt Editor and click Commit & Create Snapshot.
3. Go to the Golden Bench tab, run regression tests against standard coding & safety prompts.
4. If a newer prompt introduces regressions, switch to Version History and click Rollback to This to restore the previous stable baseline in milliseconds.

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简体中文说明

它是什么？

在开发或微调 AI Agent 时，修改 System Prompt / 预设规则常常像“玄学开盲盒”——改了之后到底有没有变聪明？是不是反而破坏了代码格式或安全性？

dsh-prompt-studio 是为 DeepSeek Harness 打造的提示词与智能体预设演进工作台，填补了 DSH 生态在 Prompt 工程化管理与自动化回归评测上的空白：

• 📝 实时提示词起草区：内置 Token 估算、说明草稿实时预览。
• ⏳ Git 式版本时光机：每次改动打 Tag、记录变更原因与时间戳，支持毫秒级一键回滚。
• 🎯 金标回归测试集 (Golden Bench)：预置编码、推理、重构、安全边界等多维度测试用例，一键自动化评分（0~100）与耗时统计，彻底告别玄学微调。
• 🔄 非侵入式 Cordis 动态热注入：无需重启 DSH 宿主，随时切换当前全局或会话生效的提示词版本。

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提交到官方市场规范 (How to Submit)

在将本仓库推送到 GitHub 并发布到 npm 后：

1. Fork awesome-dsh-plugin/awesome-dsh-plugin。
2. 在其 plugins.json 中追加本项目条目：

{
  "name": "dsh-prompt-studio",
  "owner": "ElioChen240",
  "url": "https://github.com/ElioChen240/dsh-prompt-studio",
  "category": "dev",
  "description": {
    "en": "Prompt & Agent Preset Evolution Studio for DeepSeek Harness: Git-style versioning, diff timeline, and golden test regression bench.",
    "zh": "DSH 提示词与预设演进工作台：Git 式版本化管理、时光机 Diff、金标测试集与一键回归评测。"
  },
  "npm": "dsh-prompt-studio",
  "install": "dsh plugin --profile web add dsh-prompt-studio"
}

3. 提交 PR，审核合并后 24 小时内全网 dsh-market 客户端均可一键搜索安装。

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License

MIT © 2026