Plugins

Usage statistics: a usage and reference-cost panel for DeepSeek Harness with today, 7-day, 30-day, all-time and custom ranges aggregated by hour or day; a model filter and a per-model breakdown of requests, input and output tokens, cache, reference cost and share; a model-share card showing the top four models by total tokens with the rest grouped as others; a reference price list generated from opencode Zen and DeepSeek's published rates, with DeepSeek models billed by Beijing weekday peak/off-peak windows and Chinese public holidays; a pricing-match dialog to point an unmatched model at a reference model or type per-million rates by hand; reference cost switchable between ¥ and $ at a fixed 1 USD = 7 CNY; and a yearly heatmap drawn only with theme variables, with no third-party chart library.

Exposes the models already configured in DeepSeek Harness through an OpenAI-compatible gateway, so other local projects can call them with any standard OpenAI client. Multiple provider candidates share one named group with ordered, balanced or random dispatch; upstream failures before any output switch to the next candidate transparently, and rate-limited requests are retried after the provider's backoff. Per-candidate call statistics (attempts, answers, failures, token/TTFT totals) appear as badges in the settings page, and daily aggregates persist to a local file with a 30-day heatmap and trend view. Until you create a key in the UI, the endpoint accepts calls from anyone who can reach it; keys (stored as SHA-256 hashes) then turn authentication on, and the endpoint stays locked even after the last key is revoked. Exposing the optional LAN listener without a key leaves the port open to the whole network. Runs on DSH 0.1.2-rc.1 through 0.1.7-alpha.1 and later.

Session usage dashboard: day/hour/minute token and request statistics, a 26-week activity heatmap, cache-hit-rate curve, per-model donut and list, and a settings page; it appends its cost item after the official session bottom bar (per-turn cost chips included, no separate detail button), renders the official cache-hit-rate number with two decimals, and estimates costs from multi-condition, time-segmented pricing rules. Re-implemented from HaoyueQin/dsh-usage-statistics-panel with extensions.

Floating draggable token usage statistics panel for DeepSeek Harness

Redacts secrets, cookies and personal data in every model request at the host process undici dispatcher and restores the placeholders in the reply, so one interception covers every provider, adapters that plugins add included; per-kind actions mask / warn / block, an optional same-shape fake key, records written to disk by the day and a statistics card.

Local long-term memory for DSH sessions: archives older turns under context pressure, with a turn-summary index for faster turn lists, statistics, window probing and archive planning (rebuilt automatically when unavailable, with a manual full verification), four tiered hot-memory boards, project documents with enabled/disabled/archived filters and optional owner-controlled family sharing, project hot memory, dual user/assistant turn previews, memory families with editable names and root transfer, root-abdication recovery, orphan-family takeover, summary keyword locator with segment-level candidates and paging, manual injection, 20K segmented reads, and tag-related retrieval. Includes staged recall cues, automatic compatibility with older memory layouts, and post-install version verification. Off in each new session until you turn it on with `/palace on` or the Memory Palace tab. All data stays in the workspace.

Sidebar session management for DeepSeek Harness: workspace groups sorted by latest activity, history folded behind one control, a global pinned section, running/unread/follow-up marks, delete into a restorable trash whose panel also manages archived sessions, per-session token statistics split by tool (arguments vs results), moving a session to another workspace, and a scan that re-attaches sessions missing from every workspace.

Queries PRTS Wiki for Arknights operators, items, stages, story pages and worldbook entries, and predicts unreleased characters, alters and banner schedules from story-cast statistics and banner history.

A bundle of molbio tools for molecular biology work:sequence analysis, primer and probe design (qPCR, TaqMan), in-silico PCR,cloning simulation,plasmid maps,sequencing validation,protein and CRISPR analysis,qPCR statistics,literature and lab records;installed as a preset-scoped bundle.

Model-linked characters and a shared world for DSH, with separate editable personas and memories, optional AI diaries and sleep consolidation, Chinese/English controls, task-aware desktop pets, themes and usage statistics; updates preserve user customizations. Supports Windows, Linux and macOS; see the guide for each system's installation requirements. Diaries and consolidation consume tokens. Before installing or updating, we recommend closing visible desktop pets and bubbles; open files may cause installation to fail. Codex and OpenAI API account queries have been user-validated; other sources await user validation and feedback.

Optional read-only bridge plugin that publishes live dsh session and token statistics as one JSON snapshot for the standalone dsh-minato toolkit to read.

A Taffy mood mascot for the DeepSeek Harness Web UI: the corner GIF reacts live to agent state — approval pending / approved / rejected / begging, thinking, tool runs, interrupts, ask_user_question waiting, compaction, long-task fatigue, idle-ignored approval, idle / sleeping — with SSE-pushed state, drag positioning, middle-click console, tool-card mirror console, per-mood locking, persisted appearance settings and per-day bucket statistics.

Displays token usage statistics, daily and weekly heatmaps, activity insights, and model rankings from DSH session logs, with locally persisted aggregates.

Shows DeepSeek balance and estimated daily spend, merges external vision-call JSONL records, and adds a per-session dashboard with model statistics, TTFT, cache rate, call logs, cost estimates, filters, and CSV export.

Four-quadrant todo manager in the DSH sidebar with month and week calendar views, per-period completion statistics, system notifications and Feishu notifications (the latter needs the DSH Feishu integration), and recurrence rules including Chinese statutory workdays and the Ebbinghaus curve. Derived from Natte/dsh-sidebar-todo 0.2.3 and largely rewritten; do not install both — they register the same /todo/api route and use the same todos.json data file.

DeepSeek Harness 插件：为 Web 侧边栏增加「会话统计」页，汇总 Token 消耗、成本、缓存命中、会话排行、对话性能与运行时状态。 A DSH plugin that adds a session statistics page to the Web sidebar.

Research workflow suite that registers 10 domain skills and 15 tools, curates 450 bundled research skills into 103 capability cards with an auditable per-skill ledger, and takes over research requests automatically through a system-prompt section. Tools cover real R/Python execution (off by default, two-phase preview then confirm), data gates, figure and docx auditing, .docx generation in Chinese-journal style, live PubMed search, field-level DOI verification, and cross-session project memory.

Four-quadrant todo manager in the DSH sidebar with month and week calendar views, per-period completion statistics, system notifications and Feishu notifications (the latter needs the DSH Feishu integration), and recurrence rules including Chinese statutory workdays and the Ebbinghaus curve. Derived from Natte/dsh-sidebar-todo 0.2.3 and largely rewritten; do not install both — they register the same /todo/api route and use the same todos.json data file.

dsh-TokenLens (词元透镜) — provider-aware plan capacity plus local token statistics (today/7d/30d/all-time, by harness/provider/model/workspace) for DSH.

Use TRAE account model quota in dsh, with multi-account management, daily check-in, rotation, usage statistics, reasoning levels and model visibility. Requires Python 3.10+; the first run downloads Python dependencies.

Token usage dashboard and per-session tree statistics: provides time-range filtering, 6 summary metric cards, GitHub-style activity heatmap, model stacked-bar charts with cache hit rate curves, and Top-5 model/provider rankings; enhances the native session status bar to display aggregated token usage across main agents and all subagents with detailed breakdowns.

English edition of Weiwen's Law (KISS's Law): the first and only domain-agnostic white-box causal adjudication middleware for AI agents. Unlike domain-specific causal-inference tooling (statistics/economics/ML) or evidence-gated agent firewalls, it adjudicates *every* tool call along a deterministic structural causal chain (R->S->D->H->M) before execution - across any domain, with no training or per-domain tuning. It blocks destructive and credential-file operations, escalates repeated boundary violations, cuts faulting links until verified-fixed, and gives risk verdicts on un-auditable execution; runs fully local with zero API cost.

DSH usage statistics dashboard: token / cost / duration / session aggregation with trend, heatmap and calendar views (settings.section "数据看板").

Token usage statistics by model, session and date in a sidebar panel, plus OpenCode Go quota, DeepSeek balance and Z.ai quota monitoring.