@Ange4918/deepseek-code

Unofficial community guide to Deep Code CLI and DeepSeek Coder models - setup, usage, and local deployment.

Ecosystem appAI ModelsDesktopDeveloperVisionTerminal / Shell

Verification

L5 · Ecosystem app

Risk

Pending

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.

L1–L5 verification rules

What it does

Unofficial community guide to Deep Code CLI and DeepSeek Coder models - setup, usage, and local deployment.

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

No verification record yet for this plugin.

• Node.js: not stated
• DSH: not stated
• External credentials: none detected

Author badges

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

Security Report

Two automated layers, neither a manual review: a static scan (per-plugin rule checks) and a model-driven dynamic security audit that covers only the subset static-flagged at warn or above and never executes plugin code.

deepseek-code-2Automated review · daily

Static low, dynamic no conclusion — stricter wins → overall low.

static low→dynamic no conclusion→overall low

0 critical·0 files scanned

lowoverall · low

1static scandeterministic rules · no code execution · shape only

Version binding

plugin version—

scanned version58ea1aa53d7e2026-10-21

current version58ea1aa53d7esame version

The scan result is valid for the scanned commit. New commits within 7 days are tolerated (the rating still counts); after 7 days without a rescan the badge shows outdated.

2dynamic auditmodel reads redacted source context · never executes plugin code

not in the dynamic queue (queue only covers plugins static-flagged at warn or above) — this does not mean the dynamic audit found it safe.

Rule: the dynamic audit can only raise risk, never lower it (raise-only, never an exemption); a wrong raise is withdrawn by human review and the tier falls back to the static verdict. Overall verdict = the stricter of the two layers.

Disclaimer: the static scan and the dynamic security audit are both automated analysis, not a security guarantee. Always review what you install.

Activity

Last commit 2026-10-13 · activity: Active

• Repo created: 2024-11-11

• Stars: ★ 0 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/Ange4918/deepseek-code

Plugin notes

What is @Ange4918/deepseek-code?

@Ange4918/deepseek-code is an ecosystem app maintained by @Ange4918, 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 AI Models entry, with a public source repository and automated static security scan.

How do I install @Ange4918/deepseek-code?

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?

Both layers are automated, not a manual audit: the static scan is heuristic analysis of the repository source (it can produce false positives and miss context), and the dynamic security audit has a model read the harvested source context with secret files stripped and content redacted inline — plugin code is never executed. The dynamic audit only covers plugins static-flagged at warn or above, and its conclusion can only raise the combined verdict, never exempt it. Neither layer is a manual security audit or an endorsement; before using a plugin, review the repository and installed permissions, and combine both 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 2026-10-13