Plugins

Plan-usage pet for the DSH web GUI: a floating skeletal-animated character reports quota in a speech bubble, auto-matching the configured provider (OpenCode Go, Command Code, DeepSeek) to show a plan percentage or an account balance, and falling back to local token stats when the provider API is unavailable; draggable, wheel-scalable (90-260px), synthesized click sounds, loopback-only routes.

One install for the community's verified DeepSeek Harness fixes: a bundle that mounts every guard and patch in a single profile line, plus a read-only projection-cache footprint report.

DSH cordis plugin: task dispatch, session wake-up and completion reporting through the AstrBot dsh gateway.

Report stage — academic paper writing for asset pricing and machine learning research. Ships one skill.

DeepSeek Harness bundle for ZenTao MCP, task/bug workflows, reports, and verified formal effort recording.

DeepSeek Harness plugin for CVE impact retesting: fingerprint a target, judge it against a CVE's affected range, gather passive evidence, and report a verdict with confidence and limitations.

Keeps an unfinished task list visible across turns. DSH clears the todos projection at the start of every turn and expects the model to rewrite the whole list, so when a turn is interrupted the plan is durably in the session log but permanently gone from the UI — and todo_write is write-only, so neither the user nor the model can read it back. This plugin registers one ordinary session/event listener, remembers the last list per session, and when a turn/start arrives whose remembered list still has unfinished work, re-appends that list so the projection stops reporting an empty plan. No fork of tool-todo and no waterfall: a plugin cannot replace the projection (the registry throws on a stateVersion mismatch), so appending the event the fold reacts to is the reachable seam. Deliberately narrow — only unfinished lists, at most one event per turn start, fails open. Verified by a controlled A/B on real sessions: identical runs differing only in whether the plugin was installed, folded through the real projection definition. Zero dependencies.

Browse the awesome-dsh-plugin catalog from a page in DSH Settings: filter by category or by installed state, search by name or description, sort by stars, downloads, name or date added, and install a plugin into the current profile. Two further tabs list what is already installed and which of those have a newer version in the catalog, with an update button on each row. The update view reports installed plugins whose update status cannot be determined, and overlapping install requests are refused. The catalog is cached locally for an hour with a mirror, a CDN and the npm registry as fallbacks when the official source is unreachable.

Diagnose DSH home, leftover processes, ports, and oversized sessions, then write a paste-ready /doctor report.

Diagnose duplicate DSH loader entry IDs before startup, report version-locked repair status in a read-only settings card, and apply or revert audited loader repairs through an external CLI.

Image and video production toolkit for DeepSeek Harness - background removal with quality tiers, local inpainting retouch, headline and logo compositing, batch platform-size exports and image QA reports; for video, AI subject matting with background replacement (RVM ONNX, plus a chroma-key path), animated titles with fade/slide/typewriter/karaoke presets, 53 transitions with stylized variants, and light-effect and grading presets with LUT support, alongside footage inventory, accurate cutting, subtitle burn-in, music mixing and platform-spec exports; it provisions its own local Python runtime through a bundled bootstrap script.

Bundles the 14 obra/superpowers skills for dsh from a recorded upstream tag (v6.3.0), re-syncable with drift reporting; the skills trigger automatically.

Peak and off-peak billing season in the composer statistics row, right after the cache-hit reading, with a coloured dot, a countdown to the next switch, and a panel that shows the account balance split into total, granted and topped up in the currency the API reports.

A persistent DevRel workbench for official DeepSeek Harness Discussions: triage, topics and evidence-first reporting.

The missing backend for the dsh-artifacts sidebar tab — serves the /report artifact index and the artifact bytes it renders.

Multi-platform research and deep search pipeline: harvest_scout for parallel discovery across GitHub, Web, Twitter, Reddit, Xiaohongshu, Bilibili, and YouTube, harvest_deep_research for automated comprehensive research reports, plus extract, cross-source verification, and credibility auditing.

Agent-native API client for DeepSeek Harness: Postman-like debugging UI (request tree with context menus and full keyboard navigation, resizable sidebar, layered auto-generated header preview with per-item suppression and constant secret masking), six api_client_* agent tools sharing the same request core, redaction and audit chain with the human UI, Postman Collection v2.1 import with a migration report, environment variables with SecretRef indirection, and a fail-closed SSRF network policy.

Measures what an llm-pi-ai endpoint really accepts — context window from its own model list, output-token limit and reasoning levels read out of its own range errors, image support from a generated test image — then reports declared values that contradict that evidence and rewrites them only after confirmation.

Settings section that reports token usage: totals for input, output, cache read, cache write, reasoning and call count, with breakdowns by model, day, month and project plus a per-day trend chart for the last 30 days; history is rebuilt once on a worker thread and then kept current from live session events.

Skill dossier + work report for DSH: browse, search and archive each skill (direction, scope, boundaries, scenarios), review or delete it, and roll daily briefs into daily, weekly and monthly reports.

dsh plugin: persistent whole-machine LLM usage ledger with a markdown /llm-stats report (GFM tables + emoji: tokens, cache hit, model/tool time, per-day bars)

Reminders and task timing for DeepSeek Harness: interval alerts while the model runs and overdue alerts past the planned time, plus a persistent red decision alert when the model needs your input (in-app reminder cards with sound while you are in DSH, system toasts when you are away, configurable or keep-until-dismissed card dwell time, and clicking a card jumps to its session); plan time per session, count model runtime only, and report actual vs. planned when the task ends, with a task board and persistent local records.

Decides whether Python code is original or a derivative work: reports the longest identical expression span against an upstream tree, an exemption rationale per finding, and a risk list. Pure stdlib `ast` analysis — offline, no model calls.

DeepSeek Harness 插件：生成前注入「人味」风格约束 + AI 味检测报告（纯代码、零 token、结果可复现）。dsh plugin: human-flavor style injection + AI-flavor detection report, judged by code.