@hmtxj/dsh-model-modality

Per-model input type (text/image) and thinking level checkboxes on the DSH Models settings page, writing the official llm-pi-ai input and reasoningEfforts fields.

PluginAI ModelsVisionContentVision / OCR

Verification

L3 · Install spec

Risk

Low

Health

Active

Trust

Silver

Install verification: No L4/L5 install test yetInstall verification details →

What it doesAI

Adds per-model text/image input and thinking-level checkboxes to DSH Models settings, writing llm-pi-ai input and reasoningEfforts fields.

Adds per-model text/image input checkboxes in DSH Models settings.
Adds per-model thinking-level (reasoningEfforts) checkboxes.
Writes official llm-pi-ai input and reasoningEfforts fields.

aiAIvisionAI

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

dsh plugin --profile web add github:hmtxj/dsh-model-modality

security scan passed · default branch source

Install method: GitHub · install spec verified (L3)

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

d5df92github2026-10-02

https://github.com/hmtxj/dsh-model-modality

No runtime install test for this version (static scan only) — compatibility unknown, never assumed.

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 VETPASSEDbb6fb1

Security reviewAutomated review · daily

PASSED

Vet static analysis found no suspicious behavior — verdict is clean.

0 critical·0 high·0 medium

Version binding

plugin versionv0.1.0dsh manifest

scanned version0.1.0git2026-10-02

current version7eef98bf5da6version moved on

vet verdictclean · 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

No critical or warning findings.

Activity

Last commit 2026-10-02 · activity: Active

• Repo created: 2026-10-02

• Stars: ★ 0 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/hmtxj/dsh-model-modality

Plugin notes

What is the @hmtxj/dsh-model-modality DeepSeek Harness plugin?

@hmtxj/dsh-model-modality is a DeepSeek Harness plugin maintained by @hmtxj. It is cataloged on dsh.so as a AI Models plugin for Vision / OCR tasks, with a public GitHub source, declared install command, and automated static security scan.

How do I install @hmtxj/dsh-model-modality?

Run dsh plugin --profile web add github:hmtxj/dsh-model-modality in a DeepSeek Harness (dsh) environment. The command is parsed from the plugin manifest and its install spec is verified (L3); runtime sandbox install testing may not have run yet.

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 2026-10-02