gdgfd22/deepseek-harness-ssh1

dsh-lab-ssh

Safety-gated SSH tools for DeepSeek Harness and Codex laboratory operations

AI 分析

核心用途是让本地工作站的 AI 代理安全地使用隔离实验室服务器的 GPU、运行环境和指定工作区。适合有安全隔离需求的科研或开发团队。

パッケージ
dsh-lab-ssh
バージョン
0.3.0
ライセンス
MIT
最終更新
2026/08/19

インストール

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gdgfd22/deepseek-harness-ssh

ドキュメント

README 全文を読む ↗

dsh-lab-ssh

English | 简体中文

Safety-gated SSH development tools for DeepSeek Harness and standard MCP clients.

The plugin lets an agent running on a connected workstation use a laboratory server's GPU, runtime, and explicitly configured source workspace while the server remains isolated from the public internet.

Version 0.3.0 is an experimental preview. Pin a tested DeepSeek Harness version before laboratory deployment.

This is an independent community plugin and is not an official DeepSeek AI package.

dsh-lab-ssh architecture

Why it exists

Giving an agent a normal SSH terminal exposes arbitrary destinations, commands, and filesystem paths. This project inserts a deny-by-default policy layer:

  • fixed model-visible host aliases;
  • pinned OpenSSH SHA256 host-key fingerprints;
  • environment, local-key-file, or SSH Agent credential references;
  • per-host command allowlists, auto-approval rules, and deny rules;
  • bounded command output and timeouts;
  • alias-based remote directory roots with canonical containment checks;
  • bounded UTF-8 reads and atomic, hash-protected writes;
  • optional alias-based command working directories;
  • a disabled-by-default HTTPS artifact bridge for offline servers;
  • one JSON policy shared by DeepSeek Harness and Codex MCP.

The plugin does not expose arbitrary hosts, interactive shells, inline secrets, unrestricted file transfer, delete/move/chmod operations, background commands, port forwarding, reverse tunnels, or agent forwarding.

Status

The DeepSeek Harness plugin, stdio MCP server, command policy, restricted SFTP access, working-directory aliases, and first artifact-bridge layer are implemented. The test suite contains 25 tests across 9 files and never contacts real laboratory infrastructure or the public internet.

Visual short-lived credential sessions, persistent audit, role-based policy, directory sync, dependency closure, caching, and resumable transfer remain future work.

Quick start

Requirements:

  • Node.js ^22.19 or >=24;
  • DeepSeek Harness 0.1.0-rc.7 or a compatible 0.1.x preview;
  • pnpm on PATH for dsh plugin.

Build and install:

Set-Location 

npm install
npm run build
npx -y @deepseek-ai/dsh@0.1.0-rc.7 plugin --profile web add 

Copy the example configuration outside the repository, replace every placeholder, and point the DSH user patch at it:

- id: lab-ssh
  config:
    configFile: C:/Users//.dsh/lab-ssh.private.json

Set credential environment variables in the same process that starts DSH:

$env:LAB_SSH_GPU01_PASSWORD = ''
npx -y @deepseek-ai/dsh@0.1.0-rc.7 web

See the Chinese operator guide and Chinese quick start for configuration, approval policy, offline artifact staging, and troubleshooting.

Tools

  • ssh_list_hosts: list redacted configured host aliases.
  • ssh_list_file_roots: list directory aliases and access policy.
  • ssh_list_directory: list bounded entries under an authorized root.
  • ssh_read_file: read bounded UTF-8 text and return its SHA256.
  • ssh_write_file: create or atomically replace bounded UTF-8 text.
  • ssh_exec: run an allowlisted command on a fixed host and optional directory alias.
  • ssh_stage_artifact: approval-gated download, verification, and atomic upload of one artifact.

Offline servers

The artifact bridge is not a transparent proxy. The workstation accepts an HTTPS URL without credentials or query tokens, validates every redirect against an administrator domain allowlist, enforces a size limit and mandatory trusted SHA256, then atomically creates the file inside an explicitly artifact-enabled remote root. Existing files are not replaced.

Generic SOCKS/HTTP proxying, SSH forwarding, and reverse tunnels remain out of scope so server network isolation is preserved.

Codex MCP

The repository contains the safe empty config/lab-ssh.empty.json and project-level .codex/config.toml. Build the package and reload Codex in a trusted project to discover the MCP server. For real deployment, point a private Codex configuration at a JSON file outside the repository.

The server can also be started directly:

node 
/lib/mcp-server.js --config 

Develop and verify

npm install
npm run typecheck
npm test
npm run build
npm run pack:check

On Windows, run a clean-room acceptance test that reclones the public repository into the system temporary directory and reuses neither the current dependencies, build output, DSH profile, nor private SSH configuration:

powershell -ExecutionPolicy Bypass -File scripts/clean-room-test.ps1

It runs npm ci, type checking, tests, build, package inspection, isolated-profile plugin installation, and a DSH Web HTTP smoke test with hosts: []. Port 3180 is used by default, and the temporary environment is removed afterward.

Review SECURITY.md before publishing. Real SSH configuration, credentials, logs, local profiles, build output, and archives must not be committed or included in a release.

License

MIT