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Paper2agent Dsh — DSH Plugin for DeepSeek Harness
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paper2agent-dsh

Paper2agent Dsh

Fine-grained Cordis pipeline that turns research materials and repositories into installable DeepSeek Harness bundles

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:elio040208/paper2agent-dsh#6025b0d7df1232de37f8e06464d49d76b3ca3fef
READMECompatibilityVersions

Compatibility and provenance

Paper2agent Dsh is published as paper2agent-dsh and currently resolves to version 0.2.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/18/2026

Versions

0.2.0stable
9/18/2026

Related plugins

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Latest
0.2.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
9/18/2026
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README

paper2agent-dsh

Turn research papers and source repositories into installable, native Cordis bundles for DeepSeek Harness.

paper2agent-dsh inventories research inputs, examines source code, detects runtimes, proposes callable capabilities, and generates a DeepSeek Harness plugin package with native ctx.tools registrations. The pipeline itself is composed from 17 small Cordis plugins, so each stage can be replaced or configured independently.

中文简介:将科研论文和代码仓库分析、整理并生成为可直接安装到 DeepSeek Harness 的 Cordis 插件包。

Why use it?

  • Convert research repositories into model-callable DeepSeek Harness tools.
  • Keep scientific computation in the original repository instead of reimplementing algorithms.
  • Detect Node.js, Python, R, Rust, and Go projects.
  • Discover exported functions and classes as capability candidates.
  • Generate package metadata, Cordis configuration, runtime adapters, and tool registrations.
  • Verify generated bundles before installation.
  • Inspect workflow progress and failures through a dedicated state service.

Installation

Install the tagged public repository into the Web profile:

dsh plugin --profile web add github:elio040208/paper2agent-dsh#v0.2.0

Or install a local checkout while developing:

git clone https://github.com/elio040208/paper2agent-dsh.git
cd paper2agent-dsh
dsh plugin --profile web add .

Confirm that the bundle was composed:

dsh --profile web --dump-config

Model-facing tools

ToolPurpose
paper2agent_inspectInventory inputs, scan repositories, detect runtimes, and propose capabilities.
paper2agent_generateGenerate a native Cordis bundle from reviewed command-backed capabilities.
paper2agent_verifyValidate the generated files and bundle declaration.
paper2agent_statusInspect one workflow run or list all runs in the current process.

Example request after installation:

Inspect /absolute/path/to/research-repository and propose native Cordis tools.
Show me the command bindings for review before generating the bundle.

Generation is deliberately review-gated: every proposed capability must receive a concrete command binding before paper2agent_generate writes the output project.

Architecture

The bundle mounts these single-purpose Cordis plugins:

AreaPlugins
Inputsource intake, paper extraction, asset indexing
Reviewpaper review, repository scanning, runtime detection, capability design
Generationruntime generator, tool generator, manifest generator, bundle generator
Qualitybundle verifier, artifact packager
Coordinationworkflow state, orchestrator, model tool API, system guidance

See cordis.patch.yml for the complete composition.

Generated tools accept a JSON object from the model, pass it to the reviewed command on standard input, observe Harness cancellation, and return captured standard output, standard error, and the exit code.

Requirements

  • DeepSeek Harness
  • Node.js 22.19 or newer
  • pnpm, as required by dsh plugin
  • pdftotext when extracting PDF files
  • The language runtimes required by the research repository being converted

Current scope

  • Repository scanning identifies common top-level function and class declarations. It does not infer complete input schemas from arbitrary source code.
  • Generated capabilities require explicit command bindings. The generator refuses unresolved bindings.
  • Scientific correctness still requires running the original code on representative inputs and reviewing its output.
  • Paper extraction currently supports Markdown, plain text, and PDF through pdftotext.

Development

npm test
npm run pack:check

The test suite covers repository inspection, runtime detection, capability discovery, bundle generation, and generated-bundle verification.

License

MIT