Plugins

Local-first MCP App for scientific figures. Import, review, and publish a global library on disk; reuse exact templates in Pi, DeepSeek Harness (dsh), Claude, Codex, Cursor, and Wisp.

Claude Science-style research workbench: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), and 10 science skills for genomics/pathogens/bioinformatics.

AI-for-Science research workflow skill for DeepSeek Harness, aimed at researchers and grad students using agentic AI: multi-angle literature review with per-angle files, experiment design with a caveat list, figures and paper reading; each job returns files plus a cross-verification brief for a second model. Zero deps, MIT.

Reproducible science workbench: agent-driven cells, inline figures with feedback/rerun, manifest provenance, environment snapshots, and publication-grade figure skills (9 bio_* tools + workbench UI).

Skill that fact-checks a claim against the open web rather than model memory: it splits the claim into independently checkable fact points, routes each point to the primary-source ladder for its domain (policy, academic, medical, financial, disaster and accidents, food safety, science, education, sports, entertainment, judicial, and more), searches domestic and international ecosystems in parallel, fetches primary pages, grades sources by type, re-searches with debunking keywords, and reports conclusion-first with a full URL and citation position behind every statement, keeping unverified and undecidable points separate from confirmed ones. Three factual judgements can be routed to a TypeSafe Jev (System One) decision model when a key is configured, falling back to the skill's deterministic rules when it is not; a model verdict can only lower a confidence tier.

A research library panel and skill set for DSH: project folders, figures with registered provenance, drafts, references, data tables, journal profiles and submissions, plus writing, citation and Origin-plotting discipline for research agents.

Bilibili curation floating panel for DSH: learns your interests on a probability schedule and decays them by half-life, picks videos inside a token budget derived from a daily money cap, and mentions you only when a fit score passes a threshold. Comments are off by default; once enabled they run in draft-and-confirm or self-checked auto mode under a daily quota, with a hard no-comment rule for political, government and frontier-science topics, and comment text is scrubbed for account identifiers before it can be posted. It signs in through your own Bilibili account cookies; a separate posting account is recommended.

Code-generated math and science animation for DSH: six tools cover environment checks and dependency self-repair, Manim/manimgx scene rendering to storyboard frames or MP4, contact-sheet probing of finished clips for black or overexposed frames, and formula identity checks with SymPy, together with three skills (topic routing, design spec, QA rubric), a project scaffold with timeline and narration, requirement approvals before rendering, and five animation styles.

Agent-agnostic skill that turns task input files into reusable structural briefs and a per-task searchable index (OpenAI Codex, Claude Code, DeepSeek Harness)

Skill bundle for tiered multi-agent science campaigns in math, physics, astronomy, engineering, and biomedical evidence: a shared blackboard, independent verifier and red team, wolf-pack and flanking tactics, token and time budgets, known-answer evals, a four-agent pendulum pilot, and a six-agent fourth-order pilot that caught and corrected a benchmark answer-key error. Does not claim open-problem solutions.

Searches medical and life-science literature by topic, keyword or DOI through Europe PMC, PubMed, OpenAlex and Crossref; decides open-access status through Unpaywall/OpenAlex/Europe PMC; downloads the PDF when an OA route exists (verified by magic bytes and page count) and otherwise writes a decision card with the exact failure reason plus four manual fallback channels: AbleSci assistance, Sci-Hub, SciDown and X-MOL. The bundled Python tool uses only the standard library.

Fork of z-col/dsh-workspace-groups (MIT): a grouped workspace sidebar for the DSH web client, with a science icon set and a docked default workspace; cannot be installed alongside the upstream plugin (same bundle row).

Web of Science 文献流水线插件：检索式迭代历史与数量闸门（未过闸门强制用户确认检索词）、PDF 收编与 %PDF- 审计、解析编排（复用 dsh-pdf-mineru）、知识库骨架与五层 lint/index、浏览器作业守卫（强制关 tab / 强制把验证交给人）。全流程不依赖任何 skill。

Adds a "Terms" action to finished assistant answers that explains the computer-science terms it detects with Chinese definitions, occurrence counts, highlighted context snippets, and clickable nested explanations from a built-in offline dictionary, with no model calls.

Claude Science-style AIDD research workbench for DeepSeek Harness — ReAct research loop, versioned artifacts with provenance, and 17 skills for virtual screening, molecular generation, ADMET prediction, DTI modeling and model reproduction.

A read-only neuroscience data preview plugin for DeepSeek Harness (DSH)