Plugins

Sidebar skill hub: browse and search DSH skills, import from a folder or GitHub, and read full SKILL.md bodies rendered as Markdown. Imports are copied into ~/.dsh/skills (existing names are overwritten only on opt-in), skills there can be moved to a .trash folder from the detail view, and GitHub imports download the repository archive from codeload.github.com. It uses the same package name (dsh-skill-hub) and mount id (skill-hub) as cheshireez/dsh-skill-hub and hoshino114/dsh-skill-hub, so only one of the three can be installed.

Experience and skill engine with a sidebar console and exp_record / exp_recall / exp_feedback / exp_consolidate / exp_type tools, stored in a local JSON file. Optional Git backup (off until you configure a remote) pushes the library to a remote you choose; GitHub sign-in uses a device code or a token kept in local settings.

Puts a domain bar under the session header — a domain groups skills and tools and toggles as one block, so one click loads or unloads every member. Hovering a chip lists its members (skills, then tools) in a height-capped panel that scrolls. The right end of the bar is a compaction-threshold counter (− 5 +, 100k tokens per step) that rewrites the live compaction engine policies, so the compaction trigger line changes on the next turn without restarting dsh; a degraded fallback turns the number amber and is reported in the snapshot. Settings maintains domains and members with search, skill/tool tabs, all/selected/unselected filters and a copyable AI grouping prompt. Tool removal uses tools.restrict plus a guard; hiding a skill re-registers it with modelInvocable false, so it leaves the model catalog while /name still works. Sessions of another preset are left untouched.

Skill card gallery for DSH: every installed skill becomes a game-style card you can browse in four carousel modes, filter by category, source or tag, and edit — rarity, stars, five stats, tags and card art — while the card data lives in a side-car file, so SKILL.md is left untouched. Also creates and deletes skill folders.

DeepSeek Harness plugin: AI research toolkit — model release radar, model benchmark & community report, and AI news digest (4 tools + 3 skills).

Unofficial DSH bridge for Xiaomi Miloco: an isolated Agent preset for Miloco tools, native tools/skills, Web settings, perception-priority filtering, and Miloco -> DSH push.

Let your agent understand your players. Glitchless for DeepSeek Harness: game observability tools over MCP (ranked findings, frame times, errors, where players quit, each game's own dashboard) and skills that add Glitchless to a game in Unity, Godot, Unre

Export and import a DeepSeek Harness Desktop configuration, including installed plugins, plugin settings, MCP entries, and user skills. Credentials and API keys are not exported.

Keep SSH, WSL and Docker projects in the native DSH sidebar. Group directories by environment while choosing full remote DSH or lightweight local Agent mode per project. Manage shared full-backend connections together, keep lightweight connections independent, and selectively sync local Skills with difference previews. Aimed at the Windows desktop client with Linux, WSL or Linux-container remotes that have Python 3 and Bash (macOS and Linux hosts untested); lightweight SSH needs an existing SSHFS mount, and Docker has not yet been run against a live daemon.

Scans a workspace for plaintext API keys, flags files inside git repositories, and reports findings masked so no full secret is ever printed.

Runs project checks described in a dsh-checkup.json file (files, syntax, JSON, HTTP health, asset counts, and any node/npm scripts or commands you list) and falls back to auto-detected defaults when no profile exists.

Checks a DSH profile manifest for JSON errors and dependency/bundle/patch mismatches, reads recent startup crash logs (Windows DSH Desktop only), and can back up or roll back the manifest files.

Windows only: runs a build command through cmd.exe, collects the artifacts with sizes and SHA-256 prefixes, verifies expected outputs, and writes a report for each run.

Packages a working style into a versioned pack of rules, skills and presets injected into the system prompt at global, project or session scope, distills local agent sessions into aggregate reports and suggested rules you can adopt or undo, exports the pack as a tarball a teammate can install, and ships a reference FDE pack with 40 skills.

Runs the agent through GEML workflows: work items move through flow steps, practices are recorded at the step they belong to, and a board tab in the right sidebar shows where each item stands. Also mounts the GEML MCP server and skills; when the project has a fixed workflow, a supervisor gates tool calls by its current state. Needs Node.js 22+; the GEML MCP server is fetched with npx (@geml/geml) when a session starts.

Agent skills for the Lark/Feishu CLI: exports the 27 skills embedded in the lark-cli binary (docs, sheets, base, calendar, drive, task, wiki, approval, mail, slides, vc, minutes and more) and registers them with the DeepSeek Harness skill registry so the agent can read them on demand. Excludes lark-im so it complements an IM bridge plugin rather than duplicating one. Requires lark-cli to be installed.

Auto-detects whichever memory tool local Hermes uses, then reuses its skills and memory in DeepSeek Harness, with always-available recall. Needs python3 and a local Hermes installation; it only reads from Hermes.

Installs a TeleAgent skill-authoring standard as a DSH skill: the full spec, a validator that reproduces the platform checks (and fails on .pyc bytecode), a scaffolder, a packer and a TeleAgent installer.

Matches each new task against installed skills with deterministic keyword scoring and injects the best one without being asked; records effective operations as per-skill notes for later runs.

Runs loudness normalization, silence trimming, format conversion and batch processing through local ffmpeg, with presets for game sound effects, music uploads and voice cleanup.

Five Brave Search tools — web/news/image/video results, token-budgeted page context, cited AI answers, local places, and autocomplete/spellcheck — plus a brave search provider for the built-in web_search tool. Needs a Brave Search API key (BRAVE_SEARCH_API_KEY; some endpoints need a higher plan). Based on Brave's official Search API skills; it uses the same plugin id as BuffMcBigHuge/dsh-brave-search, so install only one of the two.

Skill usage radar for DeepSeek Harness: records every skill hit from the skill tool and /name gestures into a local JSONL ledger, ranks skills by hits in the last 7 days, greys out zero-hit skills with an archive suggestion, and expands a row into time, session, trigger and prompt. Ships a conversation-view panel with frontmatter model-invocation toggle, skill creation, and a recoverable .trash archive/restore. 52 zero-dependency tests; loopback-only, no external network.

Extracts chapters, numbered clauses, keyword tables and numeric values from a docx, txt or md rulebook into JSON, and flags duplicate clauses and missing values.

Reports how much disk each project’s sessions use, archives old sessions into a dated folder, and deletes only after an explicit confirmation token.