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lunheng-article-pipeline-dsh

A DeepSeek Harness bundle orchestrating a 9-role multi-agent pipeline for rigorous long-form writing and research.

VisionUI & ProductivityDeveloper ToolsBrowser & WebSecurity & PolicySkills & WorkflowsRemote Execution
21GitHub Stars0ForksUpdated2026-10-22

Install

$ dsh plugin --profile web add lunheng-article-pipeline

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
Lunheng (lunheng-article-pipeline) is an installable DeepSeek Harness (DSH) bundle designed for rigorous multi-agent long-form writing and analytical drafting. It organizes the writing lifecycle into 9 specialized roles (T1–T9) across 6 phases—encompassing parallel literature, data, and case retrieval, human-in-the-loop outline confirmation, drafting, critical review, and automated gating. Packaged with a Cordis patch and companion slash commands, it features mechanical gate checks (M-gate), AI-trace gating (G14), and ethics sanitization.

Key Capabilities

  • Registers two DSH agent skills: the main 9-role article pipeline and 11 slash commands (/lunheng-*)
  • Coordinates 9 distinct subagent roles across 6 writing and verification phases
  • Performs triangular evidence collection across literature (L), data (D), and case (C) cards
  • Provides built-in verification tools: lunheng_m_gate, lunheng_char_count, lunheng_handoff_check, and lunheng_ethics_sanitize
  • Enforces human-in-the-loop checkpoints at topic confirmation, outline review, insight injection, and final delivery
  • Supports model-tier routing for retrieval, strong reasoning, and auditing via Cordis patch definitions

Useful For

  • Drafting in-depth academic preprints and research papers with cited evidence cards
  • Creating verified industry analysis, business reports, and long-form commentary
  • Executing structured fact-checking, AI-trace reduction, and pre-submission peer review simulations

Who It Fits

  • Academic researchers and scholars
  • Industry analysts and technical writers
  • DeepSeek Harness power users managing complex multi-agent writing workflows

Documented Limitations

  • Chinese-first workflow: prompts, deliverables, file templates, and outputs default to Chinese
  • Cannot conduct primary fieldwork, run raw statistical code (SPSS/R), or fetch paywalled/offline data directly
  • High token consumption due to multi-agent context reads across 15+ subagent invocations
  • Automated M-gate scripts may yield false positives on non-standard formatting, requiring manual justification

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 0 development, 3 peer, and 0 optional dependencies.

info
Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
zuoyunlai/lunheng-article-pipeline-dsh
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
cbc1c4c · 2026-10-23

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
21GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-22
Last release
2026-10-22
For maintainers

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Listed on DSHPlugin.app