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mv-obcc

mv-AIDE 将 Obsidian 升级为面向 AI 时代的 IDE，让 Agent 与本地工作流深度融合，打造强大的一站式工作台。1. IDE 桥接与 mv-agent：支持任何 Agent 接入的 IDE 协议，预适配DSH、 Claude Code、Codex CLI ；专属 mv-agent 将 DSH 界面直接嵌入并深度定制。2. 文件内 AI：提供选区流式问答的“划词助手”，以及用灰色文字静默预测并补全思路的“行内补全”。3. 终端与源码引擎：内置真实系统终端；独立 Vim 引擎，提供非 Markdown 文件打开、源码高亮、Lint 诊断与 TeX 的数学和渲染增强。4. 系统接管与浏览器：支持设为系统默认文件打开器，配备本地文件浏览与自带浏览器下载/历史增强。

PluginDeveloperBrowserTerminalDesktopTerminal / ShellFileCode review

Verification

L3 · Install spec

Risk

Out of scope

Health

Active

Trust

Silver

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

What it doesAI

An OS-level AI IDE inside Obsidian, connecting Claude Code, Codex CLI and MCP agents for coding, editing, and agent workflows.

Connects Claude Code, Codex CLI, and MCP agents
Integrates inline completion and selected-text LLM calls
Editable diff review and system terminal access

developerAIterminalAIfileAIcode-reviewAI

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:aitingtingya/mv-obcc

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

local-cachegithub2026-08-24

https://github.com/aitingtingya/mv-obcc

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 VETPASSED72b157

Security reviewAutomated review · daily

PASSED

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

0 critical·0 high·0 medium

Version binding

plugin versionv0.9.14

scanned version0.9.14git2026-08-25

current version0.9.21version 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 2026-09-23 · activity: Active

• Repo created: 2026-06-13

• Stars: ★ 3 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/aitingtingya/mv-obcc

Plugin notes

What is the mv-obcc DeepSeek Harness plugin?

mv-obcc is a DeepSeek Harness plugin maintained by @aitingtingya. It is cataloged on dsh.so as a Developer plugin for Terminal / Shell tasks, with a public GitHub source, declared install command, and automated static security scan.

How do I install mv-obcc?

Run dsh plugin --profile web add github:aitingtingya/mv-obcc 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 2026-09-26