Plugins

Adds an analysis tab to each session that draws it as a timeline: swim-lane tracks by category, a flame graph, and per-category and per-tool timing statistics for model calls, tool calls and background processes. Running sessions refresh live, and extra lanes can be defined with regex rules in the plugin config.

Read-only DSH billing statistics with per-request, per-turn and session costs, equivalent public API pricing, optional bill calibration, and DeepSeek model support.

Standalone usage statistics panel for DSH, derived from HaoyueQin/dsh-usage-statistics-panel by HaoyueQin (MIT): per-session breakdowns with model drill-down, per-row cache hit rates, an all-time range and CSV export.

Skill usage history rebuilt from local session logs, with per-day counts, session drill-down and custom groups.

Skill quick-pick panel for the composer: lists the session's skills by source, inserts /name into the draft without sending it, and can disable, uninstall or track usage per skill. Disabling skills (rewrites SKILL.md), uninstalling them (moves the folder to a trash), usage statistics (reads local session logs) and model translation of skill names are all off by default and switched on one by one in the panel settings.

E-commerce order analysis skill for DSH: refund-type classification, return-rate statistics, interception and refund-abuse loss accounting, after-sales analysis with product warnings, delivered as a single Excel workbook with a per-order detail sheet and a sampling verification sheet (the agent builds it with Python: pandas, openpyxl, matplotlib).

Provider pool for DeepSeek Harness. It runs a local OpenAI-compatible proxy that tries configured LLM providers in priority order and falls back on authentication, quota, rate-limit or server errors, with per-provider usage statistics.

DeepSeek Harness usage meter: a current-session cost status bar, a per-turn cost next to each completed conversation turn with a cache-hit / cache-miss / output breakdown, and a Codex-style statistics page with token KPIs, a 53-week activity heatmap and weekly cell bars, priced with DeepSeek peak/off-peak rates.

Pomodoro timer with a sidebar workspace, independent desktop widgets, task tracking, focus statistics, and WebDAV/S3 backups. Desktop widgets require a separate Electron runtime.

Usage statistics inside Settings: a GitHub-style one-year conversation heatmap of your own daily messages, token usage totals by model and by day/week/month with stat cards, and a per-day list of files written or edited via write/edit tools. All computed locally from session history with incremental rescans; no data leaves the machine.

Compacts the conversation header, moves the View tab row into the title row on wide windows, shows a local clock with session totals, and hides the duplicate composer statistics pills.

Adds a knowledge-base sidebar backed by the separately installed local Obsidian Quote service: select registered vaults or folders, retrieve read-only note excerpts and cited context, extract rules, generate project convention briefs, and view shared citation statistics.

A draggable floating card for the DeepSeek Harness Web UI that combines a Pomodoro timer, an off-work countdown, and focus statistics. Each launch opens on a fresh focus phase; phase completion triggers a chime, card shake, and particle burst. Includes today's pomodoros, focus minutes, streak and a 7-day chart, rhythm reminders for wrapping up and eye rest, optional system notifications, tab-title timer, auto-start, +5 minutes, and a custom long-break interval.

All-session token usage dashboard in the sidebar: total and peak tokens, usage streaks, a 53-week activity heatmap, 7/30-day trend, per-model usage and a session ranking. Folded locally from the profile session projection cache, so sessions written by older session formats are counted too; no network access, and the read-only summary route refuses non-loopback peers.

Composer token pill for the current session: total tokens plus uncached input, cache read, cache write and output, with the cache-hit share. A pure client consumer of the session tokenUsage projection — no host service, no file access, no network requests.

Measures one university department's research output: matches author affiliation strings against a college's known name variants (detecting same-named departments at other universities), backfills papers that only name the university by faculty author IDs, classifies each paper by journal tier (CAS partition with Top flag, JCR quartile, CCF, Chinese core via a CNKI export merger), splits staff from student first authors, and writes a workbook with a dashboard sheet, a filterable paper list, a teacher-by-direction matrix and per-teacher statistics. Student authorship is inferred from affiliation and staff lists, not verified against enrolment records. Requires Python 3.9+ with pandas and openpyxl (pip install -r requirements.txt); papers come from the OpenAlex API, whose free per-IP quota is limited, and Chinese-journal coverage needs a manual CNKI export.

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.

Self-hosted plugin marketplace for DeepSeek Harness with accounts, groups, permissions, artifact storage, and install statistics; run the server with Docker and install this client bundle in DSH.

Reads the local NTQQ (QQ 9.9.x) message database on Windows and Linux and exports group and private chat history to txt, csv, json, md, html or sqlite. Ships sixteen model tools: qqnt_status and qqnt_doctor for environment and blocker checks, qqnt_extract_key, qqnt_index to build or inspect the sidecar index, qqnt_list_groups, qqnt_list_chats, qqnt_search, qqnt_stats for totals and monthly counts, qqnt_export_group, qqnt_export_chat and qqnt_export_batch (a chat can be named the way the user says it, and ambiguity refuses instead of guessing), qqnt_jobs for OCR, speech-to-text, chunking and model downloads, qqnt_media for a chat's downloaded images, qqnt_storage for disk usage and allow-listed cleanup, and qqnt_ask plus qqnt_recall for retrieval with citations. The local web UI on 127.0.0.1:46728 adds an incremental SQLite index, six views (chats, export, statistics, ask, settings, models), a task panel, a single-pane layout on narrow screens, sender redaction, media bundling, per-day splitting, export presets and AES-256 password ZIPs; OCR, speech and embedding components install into the plugin's own virtualenv on demand. Needs python3 with sqlcipher3 (the settings page can create a private virtualenv), and the database key is read from the running, logged-in QQ client.

Usage statistics settings page computed locally from session logs: 30-day daily list, per-model and per-session tables with provider-aware pricing (DeepSeek peak/off-peak, bundled TokenBom flat rates); skips inherited events of forked subagent sessions to avoid double-counting.

DeepSeek Harness read-only companion for dsh-cost-meter: a sidebar row that splits today's cost per provider:model, hovering for the full breakdown. Reads the main plugin's in-memory statistics when available so numbers track it exactly; never writes the

Prove that a local image edit left every pixel outside its mask untouched. Original, generated and mask PNGs go in; a greppable `MASK_PIXEL_LOCK=PASS|FAIL|EMPTY` verdict, a difference heatmap, per-channel statistics, a bounding box and the largest changed pixels come out, plus a self-contained HTML report and `report.json` with a SHA-256 file hash, a canonical protected-pixel digest and a proof digest binding both to the policy. Supports edit and lock mask polarities, a mask threshold, tolerance and alpha-ignoring; PNG color types 0/2/3/4/6, bit depths 1-16, all five filters and Adam7. Zero dependencies, local only — no model call, no network, no upload.

Open STL meshes in the right-Sidebar document preview: browser-side binary/ASCII parsing, a WebGL viewport, and size/volume/surface-area/watertightness statistics.

Open .blend files in the right-Sidebar document preview: cached Blender headless GLB export plus a dependency-free WebGL viewport and scene statistics. Requires Blender 3.6 or later installed locally.