deepseekplugins

DeepSeek Harness plugin

deepseek-harness-flow

Community visual workflow and multi-model evaluation plugin for DeepSeek Harness

Workflow & Automation
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Source facts

Repository
alison-xx/deepseek-harness-flow
Latest update
Aug 14, 2026
Category
Workflow & Automation
GitHub stars
1
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/alison-xx/deepseek-harness-flow
Plugin: deepseek-harness-flow
Author: alison-xx

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer4 files
README.mdSource · read only
README language

DeepSeek Harness Flow

简体中文

DeepSeek Harness Flow is a community plugin that adds a visual workflow canvas and a multi-model evaluation lab to DeepSeek Harness.

![Harness Flow Studio: visual Agent workflow canvas](docs/images/harness-flow-studio.png)

_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](docs/INSTALL.md) 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.

![Harness Flow Desktop launcher](docs/images/harness-flow-desktop.png)

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](docs/DESKTOP.md).

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.set and 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](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.

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