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Per-execution HTTP/SOCKS5 proxy routing for Agent fetches, LLM providers, and shell commands, with settings-backed hot reload, approval-gated controls, and credential-safe status.

Blender 3D production plugin with 30 modeling/reconstruction skills, 13 runtime tools, and 26 deterministic helpers for reference fitting, rendering, validation, animation, and portable export; installable as `dsh-blender`.

Zero-dependency MCP client bridge that connects stdio and HTTP MCP servers and registers their tools as mcp_<server>_<tool> for the agent.

Static HTML auditor for Chinese line-breaking: checks explicit-`<br>` orphan lines, keep-all CSS coverage, CJK line-start/line-end punctuation rules, and protected-phrase splits, then inserts <wbr> at natural breakpoints; exposes a cn_linebreak_audit tool for agents.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

Claude Code-style shell integration: /! for single-command analysis and /terminal for interactive PTY sessions with on-demand history reference.

AI UI automation via Midscene — android_ui and web_ui tools that tap, type, query, and assert on a real Android device or an already-running Chrome through the ctx.midscene seam.

Data analysis toolkit: CSV/TSV/JSON profiling, IQR and z-score anomaly detection, structured summarization with quality issues, and code-free filter/group/aggregate queries.

Cloudflare D1 tools for agents: d1_list/query/exec/schema/stats/health over the D1 HTTP API, read-only by default with a SQLite-accurate lexical guard, LIMIT row cap, CSV/JSON query output and an approval-gated write path.

AI interview practice for DeepSeek Harness Web: generates questions across four modes (concept review, mock interview, scenario, LeetCode Hot 100), scores answers, and provides explanations.

Turns markdown into a WeChat Official Account (微信公众号) draft: inlines every CSS rule onto its element because the editor discards `<style>` blocks and class names, uploads each local image through WeChat's own endpoint so it is not filtered out, and creates the draft; it never broadcasts.

Progressive tool disclosure: a deferred tool group costs one catalog line instead of its full schemas until the model loads it with tool_search, with one switch per group in Settings and each group measured against the live registry.

Electrical and electronics calculation plugin for DeepSeek Harness: every computation runs through dedicated tools on self-describing complex value objects in SI base units, with an isolated calculation agent preset and a records panel that archives every solve on disk.

Bilibili video analysis: metadata, transcript (ASR fallback via Bijian/sherpa-onnx/whisper.cpp), comments, danmaku, and sharp keyframes with optional local vision descriptions.

Enhanced MCP client: paginated tool discovery, non-blocking startup, mcp_tool_search, hand-rolled stdio/streamable-http transports.

Route eligible shell commands through rtk to compress tool output and save tokens.

Connects DeepSeek Harness to a deployment-owned Agent Mail MCP server and exposes eleven messaging, claim, acknowledgement, diagnostics and approval-discovery tools with non-human approval execution denied.

Connects DeepSeek Harness to a deployment-owned AI Asset Hub MCP server and exposes eight reviewed read-only asset tools.

Agent trajectory governance and anomaly diagnosis: rebuilds flat session logs into multi-branch trajectory trees, detects loop deadlock, invalid retry, and goal drift, alerts with cost attribution, one-click interrupt and breakpoint fork via official APIs, independent GUI tab.

Registers codex-web-search-mcp as native DSH MCP tools (mcp__codex-web-search__codex_web_search / codex_web_research / web_fetch) for model-independent Codex and Grok web search and deep research.

Install and call external Agent CLIs (Codex, Claude Code) from DSH without touching the system install. Each CLI gets its own Provider, model, reasoning effort and permission preset, callable directly or as a native subagent.

Adobe Lightroom Classic as native dsh tools through the lightroom-py MCP server: read the catalog, apply develop settings and presets, export JPEG/TIFF/PSD/DNG, and write ratings, labels, keywords and IPTC — 15 tools driving the Lightroom Classic installed on the local machine, no cloud round-trip; the Python package is on PyPI and the Lightroom plugin installs with one command.

Dedicated model routes, tools, and system guidance for vision, compaction, reviews, subagents, titles, and image generation.

Clean, complete, profile, and deduplicate CSV/XLSX/JSON enterprise lists in DeepSeek Harness, with optional Qichacha MCP enrichment.