jingzhao-l/iterate-plugin
DeepSeek Harness (dsh) plugin that turns the iterate skill into an autonomous closed-loop code iteration — parallel reviews, deterministic dedup convergence, atomic fix + verify auto-stop, meta-review consistency audit, and dry-run read-only review. Maintained from the iterate-skill monorepo.
About this plugin
dsh 桌面端的 iterate 质量指挥中心 + 经验银行插件(v3.2)。把 iterate 生态的同一套 review/fix loop 直接搬进 dsh 界面,新增质量门禁、经验银行、防御事件流与原生指挥操作。 The iterate ecosystem's quality command center + experience bank plugin for dsh (v3.2). Natively embedded inside the DeepSeek Harness (dsh) desktop client with quality gates, experience bank, defense events stream, and native command buttons.
$ dsh plugin --profile web add iterate-plugin$ dsh plugin --profile web add github:jingzhao-l/iterate-pluginHealth breakdown
57 / 100Score reflects license, community signals, documentation and distribution. It is not a code audit — review the source before installing.
Security
Key metrics
Related
Related plugins
DSH Automation is a community-maintained DeepSeek Harness (DSH) plugin, not an official DeepSeek AI product.
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.
Native conversational image generation for DeepSeek Harness: ask the agent to create an image, and it handles generation and keeps the result directly in the conversation.
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.
Automated Cron Scheduling, Background Automation & Agent Execution Engine for DeepSeek Harness
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.