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deepseek-harness-web-docker

DeepSeek Harness web interface in Docker with Basic Auth. Configuration and project session data are persisted.

Ecosystem appUI & SkinsDataStorageWeb search

Verification

L5 · Ecosystem app

Risk

Out of scope

Health

Active

Trust

Unrated

Install verification: Ecosystem app: not installed via dsh plugin add, so the L1-L5 plugin install-verification ladder does not apply; the security scan still runs.Install verification details →

What it doesAI

Provides a Dockerized web UI for DeepSeek Harness with basic auth and persistent configuration/session data.

Dockerized web interface for DeepSeek Harness
Basic authentication for access control
Persists configuration and project session data

uiAI

Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.

Installation

GitHub repository

Ecosystem apps are not installable via dsh plugin add: desktop / web shells install or deploy through their own release channel (GitHub Releases or the project site).

The level reads L5 · Ecosystem plugin / L5 · Ecosystem app per the three-way classification (the L1-L5 ladder does not rate them); the security scan still runs.

Verification & Compatibility

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed

local-cachegithub2026-08-24

https://github.com/Xidong-AI/deepseek-harness-web-docker

Ecosystem app: not installed via dsh plugin add (a desktop / web shell) — its level reads L5 · Ecosystem app.

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Automated static scan, not manual review.

DSH.SO VETMEDIUM70475d

Security reviewAutomated review · daily

MEDIUM

Vet verdict is suspicious: findings need human review (exfiltration endpoints, file deletion, etc.).

0 critical·1 high·0 medium

Version binding

plugin version—

scanned version70475d3f3582git2026-08-25

current versionb9211e721904version moved on

vet verdictsuspicious · git

Vet is an AST static scan (npm artifact or git source).

Disclaimer: automated static analysis, not a security guarantee. Always review what you install.

Risk details

Risk	Rule	Location	Description
high	R14	entrypoint.sh:122	脚本下载即执行：curl\|sh 远程代码执行（脚本随包分发，安装/运行期任意代码执行面）

Heuristic static scan — may produce false positives. Review the source yourself before trusting.

Activity

Last commit 2026-09-25 · activity: Active

• Repo created: 2026-08-14

• Stars: ★ 13 · Forks: 2

• Health: Active — committed within last 30 days

Source

GitHub: github.com/Xidong-AI/deepseek-harness-web-docker

Plugin notes

What is deepseek-harness-web-docker?

deepseek-harness-web-docker is an ecosystem app maintained by @Xidong-AI, not a DSH plugin package — it cannot be installed via dsh plugin add; desktop / web shells ship through the project's own release channel. It is cataloged on dsh.so as a UI & Skins entry, with a public source repository and automated static security scan.

How do I install deepseek-harness-web-docker?

This is an ecosystem app, not a plugin installable via dsh plugin add: desktop / web shells install or deploy through their own release channel. Its level reads L5 · Ecosystem app; the security scan still runs.

How does the security scan relate to a manual audit?

The scan is automated static analysis of the repository source — a scalable first line of defense that can produce false positives and miss context; it is not a manual security audit. Before using a plugin, review the repository and installed permissions, and combine the scan with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-09-26