Plugins

Turns an ordinary conversation into a guided study session, keeping progress and lectures as dated files that survive a restart. A Study tab shows how far you have got and which ideas are still shaky without writing anything, and a Lectures tab lists each course's lectures as draft, dated, or archived.

One plugin, two agent presets ported from Bemly/opencode: nsfw (adult-fiction executor) and unrestricted (security-research executor).

Verification gate for DeepSeek Harness: run typecheck/lint/tests after edits, and keep the agent working until they pass.

DSH-native skill intelligence cockpit: task decomposition, cross-domain multi-skill composition, skill authoring, local recommendations and safety scans for DeepSeek Harness.

DeepSeek Harness plugin for skill-healthcheck: keeps the skill journal while dsh runs and adds /skill-healthcheck to the chat.

Ships BMAD-Method inside the plugin: the seven modules are laid down on first open, no installer run and no download, the method's 90 agent and workflow skills come in the package, and each module can be turned off by writing the disabled flag into the profile patch.

Manage skill experts in the sidebar and summon them from the composer or @ menu.

Bundled Pixiv skill backed by a Python CLI: search illustrations, manga and novels, browse daily/weekly/monthly/rookie/original/AI/R-18 rankings, look up works, novel series and artists, and download originals, with multi-page works merged into PDF, ugoira converted to GIF and novel series merged into TXT; requires Python 3.9+ with requests, img2pdf and Pillow installed (pip install -r requirements.txt), and R-18 content needs your own Pixiv cookie.

Bundles a deep-read paper library and the paper-deepread-html skill: a sidebar panel to browse interactive reading reports, upload PDFs into a managed library, deep-read them with an agent (or through an optional site auto-read worker), and manage or rebuild the library; ships the paper_deepread, paper_deepread_uploads and paper_deepread_reports model tools. Deep-read/ingest and report builds require Python 3 (the bundled skill prepares a PyMuPDF venv on first use; index rebuild falls back to plain python3).

Mounts the REA (Reverse Engineer Anything) MCP server through two gateway tools instead of registering its 200+ tool schemas on every request: rea_list searches the catalog or returns one tool's input schema, and rea_call invokes that tool, each call spawning a short-lived rea mcp process, so the tool definitions sent per step drop from about 780 KB (207 tools as measured in REA 6.5.0) to about 1-2 KB. When no rea entry point is found it installs rea-agents into a plugin-private directory with the pnpm bundled in DSH (dependency build scripts skipped) and links the reverse-engineer-anything and rea-gateway skills into the skills directory without overwriting existing ones.

Chinese writing-register plugin for the Gcores/机核 editor 白广大: registers a 40 KB style skill plus style_lint / style_audit / style_rules tools — 4 hard-error and 27 warning checks (banned connectives, slogan inflation, empty quantifiers, uniform paragraphs, unsourced statistics, AI clichés), with thresholds calibrated on 444 articles / 802k characters; a settings page adds an on/off switch, single and batch trial runs, and JSON threshold overrides.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Long-conversation memory for DeepSeek Harness (DSH): keeps settled decisions, user corrections and exact numbers, with their conditions and sources, available across compaction and restarts in 100-1000+ turn sessions; one small budgeted evidence block per model step, with enabled skill rules re-applied in the same block.

Generates complete AI songs (vocals plus full arrangement) from a theme or from provided lyrics, and instrumental BGM, through a bundled xiapan-music skill and a xiapan_music DSH tool; also queries the Xiapan API balance. Uses a user-supplied Xiapan API key (BYOK), and saves the generated mp3 files on the DSH host.

Long-term memory kept as plain Markdown plus git: each session opens with a generated memory-context block assembled from a global store and per-project books (role card, user profile, current focus, routing table, recent logs), the plugin records which memory files the agent read and reminds it to extract conclusions while the day's log is unextracted, personas live in roles/<role>/SOUL.md role cards, and it ships a seven-tab settings page in the sidebar plus four skills. Requires Python 3.10+.

Static-context audit for a DSH home: a six-layer baseline (rules, memory, skills, tool surface, sessions, KB), broken-path checks for a markdown capability map, memory duplicate/stale/over-limit reports, SKILL.md description compression, and tool-surface plus cold-start static-context estimates recovered from session logs. Four read-only DSH tools; writes require --apply and are backed up first. Requires Python 3.10+ on the host (stdlib only; all four tools shell out to the bundled CLI).

Progressive disclosure agent preset and call directory tool that starts from a minimal baseline and unlocks tools, skills, and MCP servers on demand.

Provides three skills for the Let's Build Robots SO-101 course: yanshifu reads the learner's project files to assess progress and suggest next steps; ask answers questions using four bundled guides; update checks for and installs updates to those guides.

Repackages the MedXpert skill collection (zhaoxinghua09-cell/medxpert-skills, Apache-2.0): twenty-one medical-device regulatory skills for NMPA, FDA, EU MDR, and PMDA workflows. Do not install the same skills twice (do not also copy them into ~/.dsh/skills).

Action Hub for DSH: a standard Agent Skill library whose SKILL.md files can run as model-visible Skills or user-only Commands, with groups, project scopes, import/export and a native Alt+A palette.

DeepSeek Harness skill bundle for Hearts of Iron IV 1.19.3 modding: registers 15 skills and mounts 20 local MCP tools (a Python stdio server) to scaffold, statically verify, install and debug mods - focus trees, events, decisions, ideas, characters, technologies, MIO, special projects, scripted GUI and topbar buttons, localisation, DDS icons, 18-slot tank designer layouts, 3D tank models, CJK font auditing and error.log triage - plus a 23-workshop-mod technique survey and a multi-agent playbook. Requires DSH >=0.2.0 <0.3.0 and Python 3.9+ on PATH (standard library only, no third-party packages); no game assets are shipped.

Auditable mathematical proving for DeepSeek Harness: a local stdio MCP server with 23 machine-checking tools, a bundled workflow skill, and the /prove and /audit-proof commands. proven, refuted and inconclusive are never conflated, and unproven steps are reported instead of hidden. Needs Python 3.10+ with pip install -r requirements.txt on first run; the 23 tools are unavailable until then.

Ships a minimal lesson ledger: brief.ps1 to look up past pitfalls, add-lesson.ps1 to record new ones, deployed into the skills directory and wired into AGENTS.md by the installer. The model checks it before working and turns what it hits into rules, so the same mistake is not made twice. This plugin watches whether that actually happens and shows the result in a tab and under the composer.

Adds handoff, context-decision and context-diagnose skills, self-contained context_pressure/context_history tools (peak tokens, compaction stats), per-route realWindows with windowSource evidence, routeKey, handoffAt forced-handoff line, and slash commands.