dshpluginsdshplugins.cc

zuoyunlai/lunheng-article-pipeline-dsh

DeepSeek Harness bundle registering one skill that turns long-form production (academic papers, industry analysis, business commentary) into a 9-role pipeline: T1 literature / T2 data / T3 case scouts running in parallel, T4 analyst, T5 writer, T6 critical companion, T7 auditor, T8 finalizer run by the coordinator, T9 peer reviewer — across 6 phases with triangular evidence verification, a 23-check M-gate, a G0-G14 audit including a Chinese AI-trace gate, peer-review scoring with journal matching, and 4 human checkpoints. Installs with `dsh plugin add lunheng-article-pipeline` (package.json#dsh.bundle.patch plus a lib/index.js entry that registers the skill); ships role cards for T1-T9, templates and 11 zero-dependency verification scripts, with five-language READMEs.

workflowLicense MITJavaScript
75Health score
Install · dsh CLI
npm$ dsh plugin --profile web add lunheng-article-pipeline
github$ dsh plugin --profile web add github:zuoyunlai/lunheng-article-pipeline-dsh

Health breakdown

75 / 100
License25 / 25
Repo verified15 / 15
Documentation15 / 15
Adoption · stars5 / 20
Community · forks0 / 10
Distribution · downloads15 / 15

Score reflects license, community signals, documentation and distribution. It is not a code audit — review the source before installing.

Security

LicenseMIT ✓
Risk disclosurepartial — review the source
Network callsnone
Credentialsno
Manifestdeclared

Key metrics

Downloads / mo24,486
Star trend7
↑ 17%past week
Stars
7
Forks
0
Listed
Sep 18, 2026
Last updated
Oct 3, 2026

Related

Related plugins

NanmiCoder/dsh-agent-teams100

dsh-agent-teams turns the current DeepSeek Harness session into a captain that can assemble durable sub-agents, split a goal into dependency-aware tasks, and coordinate work through direct messages.

57.6k 1.9k
ChongCyrus/Vibe-Mathematics75

Installs four multi-agent math-research presets for DSH: v2 (probability-driven pipeline with multi-verifier debate), v3 (paper-style Markdown knowledge base with a planner agent and a reusable method library), v4 (persistent self-organizing residents that message and meet), and v5 (a research institute with an academician who decomposes and assigns work, voting researchers, temp workers, group chat and a compare-and-set task board); all four support checkpoint resume, human intervention, and an optional Lean formal-verification switch (off/encourage/require) whose passing proof turns the vote into a fidelity check of the Lean statements.

11.0k 33
GooDAnDReaDY/dsh-cron77

Automated Cron Scheduling, Background Automation & Agent Execution Engine for DeepSeek Harness

10.5k 6
godv61/dsh-task-engine67

Preset engineering workflows for DeepSeek Harness: a dev_task tool that gates stage transitions, artifacts, verification, review and commit scope, plus a web workbench for installing project or user skills and rules.

9.5k 4
ttmouse/dsh-taskboard74

A local-first issue board plugin for DeepSeek Harness (dsh). It embeds a complete task board — Kanban / list / Gantt / workflow / dashboard views plus per-task AI chat — into the DSH Web GUI. Data lives in a local SQLite database (/.dsh/storages/dsh-taskboard/taskboard.sqlite); no external service, no cloud dependency.

7.2k 3
yangdcm/dsh-expert-team72

Role-based multi-agent team for DeepSeek Harness. The /team command assembles up to 12 specialist subagents (product, architect, researcher, UI, backend, frontend, database, security, reviewer, QA, DevOps, docs) and runs a nine-phase gated pipeline (clarify, research, design, spec review, plan approval, implement, review, test, deliver) over a shared workspace of artifacts (SPEC, PLAN, TASKS, STATE, REVIEW, TEST). Quality gates are enforced by plugin code rather than requested in prompts: an unfinished task cannot be marked completed, quality findings must be adjudicated by the reviewer or QA role, and coverage gaps or rework over budget appear live in the overlay and in /team status. Ships a live team overlay (phases, roster with per-role models, task DAG, artifact preview, decision buttons), a persistent-team mode that resumes across sessions, and per-run token and time accounting. Zero runtime dependencies, no build step.

5.8k 10