dsh-model-deploy

LLM model selection & deployment analysis tool for DeepSeek Harness: deployability, VRAM, TTFT, latency, throughput and power for 38 models × 20 GPUs/NPUs

PluginDataAI Models

Verification

L2 · Structured

Security

Low

Health

Active

Trust

Silver

What it does

LLM model selection & deployment analysis tool for DeepSeek Harness: deployability, VRAM, TTFT, latency, throughput and power for 38 models × 20 GPUs/NPUs

Installation

dsh plugin --profile web add github:lhwwxy/dsh-model-deploy

Install method: GitHub · not yet tested in container (L3+)

Compatibility

DSH Version	Status
not stated	Declared — not tested

Requirements

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

Security Report

Automated static scan, not manual review.

DSH.SOPASSEDSCAN5 FILES

f66be5

Security reviewAutomated review · daily

PASSED

No critical or warning findings in the automated scan. The result is valid only for the commit hash shown.

0 critical·0 warning·0 info·5 files scanned

Version binding

plugin version1.0.2dsh manifest

scanned commitf66be5534db62026-08-19

latest commitf66be5534db6

The scan result is only valid for the scanned commit. If the latest commit differs, the badge shows outdated until the daily pipeline rescans.

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

Risk: Low0 critical · 0 warning · 0 info

• Static heuristic scan: done (5 files)

• Dependency vulnerabilities: requires deep audit (L3+)

• Permission sandboxing: requires runtime testing (L4+)

Activity

Last commit 2026-08-18 · activity: Active

• Repo created: 2026-08-19

• Stars: ★ 0 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/lhwwxy/dsh-model-deploy