deepseekplugins

DeepSeek Harness plugin

argo

Agent-first multilingual search and evidence-verification skill routing 120+ engines with vertical sources and MCP entry points; SKILL.md at repo root

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Source facts

Repository
taxueseek/argo
Latest update
Aug 13, 2026
Category
Skills
GitHub stars
105
Format
skill
Package path
packages/dsh-plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
packages/dsh-plugin/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/taxueseek/argo/tree/HEAD/packages/dsh-plugin
Plugin: argo
Author: taxueseek

Check the source files

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

File explorer2 files
README.mdSource · read only

argo-dsh

DeepSeek Harness 插件：一行同时挂上 Argo 搜索 MCP 和 wide_research 并行研究编排。

安装

dsh plugin --profile web add "github:taxueseek/argo#main&path:packages/dsh-plugin"

重启 dsh web 后生效。模型将看到：

  • 10 个 mcp__argo__*：argo_search / argo_research / argo_evidence / argo_clarify / argo_fetch / argo_crawl / argo_screenshot / argo_pdf / argo_social_search / argo_local_search
  • 1 个 wide_research：规划互补轨道（depends_on 依赖分阶段，默认并行）→ 有界并发子代理取证 → 来源账本（仅 http(s) URL 入账）→ 综合报告；输出自带 quality_gate_results（conclusion_cap：low/medium/high），passed=false 时降级表述、先核验账本来源再下结论

日常一问用 argo_search；单代理取证用 argo_research；多视角对比、要引用账本用 wide_research。worker 默认只能调 argo 取证工具，不会再调 argo_research（硬保护，用户层放行也无效）。

依赖

  • Node.js ≥ 18（npx 拉取 argo 包）
  • Python 3.10+，pip install pyyaml
  • DSH 子代理 provider 需支持 outputSchema、toolFilter、depthLimit（标准 spawn 即可）

自定义（可选）

两行配置 id 分别为 mcp-argo 和 wide-research。用户层 cordis.patch.yml 同 id + name 才是替换：

- id: mcp-argo
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: argo
    transport: stdio
    command: /usr/bin/python3
    args:
      - /path/to/argo/scripts/mcp_server.py

- id: wide-research
  name: '@taxueseek/argo-dsh'
  config:
    defaultWorkers: 6
    maxWorkers: 9
    maxTracks: 9
    childToolAllow:
      - mcp__argo__argo_search
      - mcp__argo__argo_evidence
      - mcp__argo__argo_fetch
      - web_search
      - web_fetch

卸载

在 DSH 的 Settings → Plugins 管理面板中移除本 bundle，或从 profile package.json 的 dsh.profile.bundles 中删除 @taxueseek/argo-dsh 后重启。

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