插件目录 / Automation / deepseek-harness-flow
deepseek-harness-flow
已验证 · 实测可装 alison-xx
功能简介
deepseek-harness-flow — DSH 插件(编排)
可用 — 实测通过,早期项目
deepseek-harness-flow — DSH 插件(编排) 实测能干净安装、正常启动。早期项目,但功能可用。
「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。
README
DeepSeek Harness Flow
DeepSeek Harness Flow is a community plugin that adds a visual workflow canvas and a multi-model evaluation lab to DeepSeek Harness.

Studio preview — visual workflow editing remains an additive Harness Flow view inside a normal Harness session.
It preserves the original Harness experience. Chat, sessions, settings, tools, and existing workflow records remain unchanged; the plugin only adds a Harness Flow view with three focused tabs:
- Studio — edit and run Input, Agent, Map Agent, Condition, Merge, and Output nodes.
- Bench — run preset or imported suites against multiple provider routes and an independent judge.
- Runs — inspect persistent results, non-formal objective results, formal rankings, and redacted exports.
Community project. Not affiliated with or endorsed by DeepSeek.
Install
This beta is pinned to DeepSeek Harness commit 47f9438 and its matching RC packages.
dsh plugin --profile web add https://github.com/alison-xx/deepseek-harness-flow/releases/download/v0.1.0-beta.2/deepseek-harness-flow-0.1.0-beta.2.tgz
Restart the web profile, open any session, and select Harness Flow beside the original Chat view. See the installation guide for local-package installation and troubleshooting.
Desktop client (Tauri)
The repository also includes a Windows-oriented Tauri desktop launcher. It starts an isolated local Harness profile, installs this plugin bundle into that profile, and opens Harness in a native desktop webview.

pnpm install --frozen-lockfile
pnpm desktop:dev
The launcher asks for a local DeepSeek Harness checkout and a Node.js executable, then uses port 4181 by default. desktop:build creates an installer once Rust and the Windows build tools are installed. The first desktop beta intentionally uses a local Harness checkout and Node.js runtime rather than silently packaging credentials or a second copy of Harness. See the desktop guide.
Benchmark behavior
- Built-in MIT suites: Quick Smoke (6), Comprehensive Agent (18), Coding (8), and Safety (6).
- Default repetitions: 3. Default limits: 2 global jobs and 1 job per provider route.
- DeepSeek, OpenAI, Anthropic, Google, and custom OpenAI-compatible routes.
- Every route has its own Harness credential reference; plaintext keys are sent only to
credentials.setand are never persisted by this plugin. - A formal 100-point quality score requires a non-competing independent judge: objective 50%, judge 30%, safety 10%, stability 10%.
- Without a judge, results stay objective-only and no formal rank is assigned.
- Latency, tokens, cache reads, and estimated cost are separate metrics. Cost appears only when a pricing snapshot was entered.
- Imported commands are disabled until a run explicitly authorizes them.
Development
Requires Node.js 22+ and pnpm.
pnpm install --frozen-lockfile
pnpm verify
pnpm test:browser
pnpm pack:release
pnpm preview runs a standalone visual test shell at http://127.0.0.1:4178. Harness RC dependencies are runtime peers; the repository includes narrow compatibility declarations so a standalone clone can type-check without checking out the upstream monorepo.
Public API
Typert Remote namespaces:
flow.list/get/put/delete/run/cancel
benchmark.suites/list/import/export
benchmark.runs/start/get/list/cancel/retry/export
The primary wire and persistence contracts are FlowDefinition, ModelTarget, BenchmarkSuite, BenchmarkCase, BenchmarkRun, and BenchmarkResult.
Privacy and security
No telemetry is collected. Test prompts, model answers, reports, and API keys are not uploaded by the plugin. Exporters redact credential-like fields, absolute workspace paths, and sensitive environment-variable names. Please read SECURITY.md before importing third-party test suites.
License
MIT. Built-in benchmark prompts are original project content and are released under the same license.
安装
装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:
dsh plugin add dshbase-catalog 然后对 agent 说「帮我装 deepseek-harness-flow」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。
该插件是 GitHub 源码(未发 npm)——直接从仓库装:
Web profile:
dsh plugin --profile web add github:alison-xx/deepseek-harness-flow Headless(CLI)profile:
dsh plugin --profile headless add github:alison-xx/deepseek-harness-flow 实测报告
验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。
使用场景
自动化一项重复工作——调度、串联任务或响应事件——不用你亲手启动。
适合谁
有周期性工作、想 cron 式无人值守而非手动触发的人。
二次开发建议
触发器和任务模板是缝——加事件驱动或文件监听触发,以及更丰富的流程编排。