Plugins

Adds a Settings card to edit prompt-inject.md, manage AGENTS.md or CLAUDE.md rule sets, check for plugin updates, and apply or restore reversible local package updates.

An agent preset for evidence-checked research: every step advances only through system-verified observations, L3+ claims go to an independent evaluator, and the session folds into a replayable ledger that grows into a browsable domain ontology. Requires DSH >=0.1.7-alpha.1.

Mounts 88 packaged research, social-intelligence, marketing and business Agent Skills into dsh through the filesystem Skill provider.

Lowtide (as in low tide) runs task batches automatically in off-peak hours — a highly customizable task framework with four execution strategies, L1–L3 semi/full-auto adjudication, in-place task editing and preflight checks, built on the Cordis microkernel, one build for both desktop and web.

Connects locally signed-in WorkBuddy models to DSH, supports per-model image input opt-in, account switching, and a read-only credits overview with daily check-in.

Pre-submit pull-request hygiene checks inside DeepSeek Harness: scans the current diff for TODO leftovers, hardcoded secrets, and non-conventional commit subjects.

In-place conversation rewind in the same session window without forking (Claude Code /rewind semantics): a per-message ↶ button cuts the model context back to any user message, with an optional Claude-Code-style file restore from disk-persisted before-backups.

Gives DeepSeek Harness control of the Tabbit Browser: auto-loads the tabbit-browser skill on install, detects official Tabbit and Tabbit Browser releases (>= 1.9.0), checks the tabbit-cli persistent runtime, diagnoses the per-platform DSH sandbox mode needed to call the CLI, and downloads the region-matched official installer via a background job when no qualifying version is present.

Gives DeepSeek Harness control of the Tabbit Browser: auto-loads the tabbit-browser skill on install, detects official Tabbit and Tabbit Browser releases (>= 1.9.0), checks the tabbit-cli persistent runtime, diagnoses the per-platform DSH sandbox mode needed to call the CLI, and downloads the region-matched official installer via a background job when no qualifying version is present.

Red-team engagement mode: send one target organization name and a planner session runs a five-role execution team (recon, asset triage, vulnerability discovery, exploitation, internal pivot) under a user-configurable concurrency limit (three by default, changed from the console and taking effect immediately), preflight-checking skills and resources and asking once for any missing key or VPS first, guided by a built-in first-run onboarding skill; scoring follows the merged intrusion scoring rules (8 categories / 25 points) with server-side caps, highest-privilege-wins and per-service dedup, and self-registered accounts never score — a login that fits no more specific category is scored as controlling a web application system rather than dropped; findings land in a local SQLite fact base with discovery timestamps, shown in a persistent right-side console of 9 tabs (asset mapping with a discovery timeline and the live test view, the agent roster with its concurrency setting and editable role prompts, session/tunnel state, findings — vulnerabilities, credentials and access sessions plus the attack files archived against each vulnerability — five-stage attack chain, scoring targets, an evidence-screenshot capability (register a screenshot per score point, at most three representative shots per point so a bulk result such as dozens of endpoints does not flood the console or the report, viewed inline in the console and embedded in the report, with on-site screenshots kept strictly apart from record-generated evidence cards), and a report that spells out how each score was obtained (actions, exact commands, credential provenance, tunnel build commands, a reproduction entry that is either a paste-ready HTTP request or a runnable command, plus success criteria and an evidence index), a category-organised POC/EXP knowledge base, and a skill library that reports for every unusable skill why it is unusable and the concrete steps to repair it); ships 14 reconnaissance/assessment skills (the npm package deliberately carries no tool auto-installer and no attack-chain skills — those ship as a separate toolkit Release attachment that the operator fetches and runs themselves), 56 redteam_* tools and one-command self-update.

Chinese government document processing toolkit: GB/T 9704 format check, auto-fix, content revision (red annotation + strikethrough), template generation, Markdown-to-docx, and document header/footer/page-number injection for 24 official document types.

Deep-read books and articles in five modes (quick, deep, knowledge map, Feynman, full book) with claim-evidence-data reports, Mermaid/XMind mindmaps, batch comparison, budget preflight, transparent background-job progress, and MD/HTML exports from URLs, files, or pasted text.

Engineering-discipline guard: requirements grill before the first edit, red/green test-evidence gates, forked adversary review, and a delivery report with a per-dimension verification workflow.

Fills in what the official pi-ai adapter leaves out on the Models page: gateway reachability probing with latency, one-click pull of the gateway model catalog with checkbox write-back into settings, DeepSeek balance and provider quota shown in place, the protocol and endpoint each provider is actually wired to, and a model dropdown that lists only what works right now — a dead key, an empty balance or an exhausted quota is hidden until you fix it, and comes back on its own.

Data quality checking for DeepSeek Harness — profiling, cleaning, and verification pipelines with structured reports.

The DSH plugin-development knowledge base as an on-demand agent skill: official constraints, task workflows, API reference and community gotchas, installed with the bundle so the agent can look things up while building a plugin.

Component checklist for the shared Semi Design package used by tnnevol DSH plugins, opened from a `Semi UI` button in a conversation header: 35 components plus a multi-account case page, organised into seven sidebar groups from inputs, forms, selectors and trees to tables, cards, overlays and feedback, each rendered live with a one-line description and a page outline, with light, dark and follow-system preview. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-semi-ui-showcase`.

Normify · DSH 插件：把项目架构写成归一化的分形模块树，三层校验（写时 / 校验 / 冻结回执）、30 个 normify_* 工具 + normify-gen 技能，一键渲染单文件交互式架构图；支持伴随式开发（change_open → brief → check → 实施 → refresh → change_close）。

Remote DeepSeek Harness with full server-side API access (`settings.*` / `credentials.*` / `host.listDirectory`). Token-gated reverse proxy, per-device sessions, phone invite QR, fence self-check, optional approval / CIDR / idle timeout / local TLS, WebSocket/SSE.

Off-peak batch runner for DeepSeek Harness: users define tasks during busy hours — prompt, strategy, priority, workspace, locked files — and release them by hand; the plugin then runs the batch automatically inside user-defined off-peak windows. Each run passes five preflight checks (workspace, git HEAD, locked-file sha256, window fit, daily budget), supports four execution strategies (single / iterative / sampling / review) and three autonomy levels (L1 per-task, L2 batch, L3 full-auto), and closes the loop with a morning report containing diffs, actual spend and savings from a daily ledger aligned with official peak/valley pricing.

Rewind a DeepSeek Harness conversation and its workspace together, without touching Git: every rewind is a fork, /redo reverses it, and a Rust engine snapshots in milliseconds.

Installs four multi-agent math-research presets for DSH: v2 (probability-driven pipeline with multi-verifier debate), v3 (paper-style Markdown knowledge base with a planner agent and a reusable method library), v4 (persistent self-organizing residents that message and meet), and v5 (a research institute with an academician who decomposes and assigns work, voting researchers, temp workers, group chat and a compare-and-set task board); all four support checkpoint resume, human intervention, and an optional Lean formal-verification switch (off/encourage/require) whose passing proof turns the vote into a fidelity check of the Lean statements.

Component checklist for the shared Semi Design package used by tnnevol DSH plugins, opened from a `Semi UI` button in a conversation header: 35 components plus a multi-account case page, organised into seven sidebar groups from inputs, forms, selectors and trees to tables, cards, overlays and feedback, each rendered live with a one-line description and a page outline, with light, dark and follow-system preview. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-semi-ui-showcase`.

DSH host plugin for local and API LLMs: per-use continual self-improvement with counter-reason self-checks, critic escalation, inverted-index memory retrieval, coding-loop convergence steering, and a five-state delivery guard.