Plugins

Audits a DSH profile for capabilities nothing consumes: inventories the declared composition rows, counts how often each registered tool and skill is actually called in the session logs, separates calls that were made from calls that returned a result, and reports the ones with no observed consumer. Ships a skill that fixes the evidence-chain format for completion claims.

Installer and configuration base for a five-plugin DSH assistant suite: probes the Python, WPS and workspace environment, installs the sibling plugins shipped in the same repository, and generates the workspace baseline (instruction layer, memory seed, skills, settings); it also contributes its own settings section and its own host-side setup and check logic.

AlphaRSI — three-role self-improvement loop that evolves the training recipe of alpha sequence models. Operator runs walk-forward, Evaluator grades with OOS RankIC, Refiner proposes hyperparameters via TPE Bayesian search; only strictly-better recipes are kept. Offline one-command run, data bundle shipped with sha1 reconciliation, GPU auto-detect. Ships one skill.

DeepSeek Harness skill plugin that reviews law theses (international economic law and other legal topics): reads a student Word .docx, checks it against a bundled common-issue checklist, applies definite fixes as tracked changes, and adds Word comments for overall/section problems and missing-basis issues, then emits a short objective overall review plus a fix list.

Ships a skill plus six Node scripts for a DSH install that will not come up - walking the boot stages before readiness, the plugin dependency bridges and junctions under a profile, dead or duplicated plugin rows, and the upgrade path. The scripts are diagnostics first; the rebuild helper only writes when it is given --fix.

33 github_* tools covering REST reads, issue writes, Git data writes, private repo creation, and clone; in-process permission gate and cost-discipline companion skill; no gh CLI required.

Training attestation — reproducible, attributable, auditable off-site standardized training for asset pricing. Hard-gates four failure modes (half-refresh, hash mismatch, unknown-read-as-pass, master pollution). Ships one skill.

Ships a skill about handing work to subagents instead of doing it inline - which tasks are worth fanning out, how many to run at once, how to send them in parallel, and how to check what they returned instead of trusting the summary.

Skill routing for DeepSeek Harness: embeds skills and each user task with a local model, keeps the clearly-relevant skills with a gap-based selection rule, and auto-injects their full bodies into the prompt.

Ships a skill about writing DSH skills - SKILL.md frontmatter and root precedence, how to phrase a description so it actually triggers, length and splitting rules, and an A/B check that the finished skill changes agent behaviour. The package also carries the checker the skill uses to validate a skill directory.

Shared engineering skills, a read-only memory-bank dashboard with SQLite audit guidance, and workflow request previews for DSH.

端到端内容智能采集与调研工作流：多源嗅探→四维评分门控→4级深度抓取→键控事实槽矛盾检测（GA11）→网络边界门控（GA12）→跨源融合→结构化 Markdown 报告。DeepSeek Harness (dsh) skill bundle.

DeepSeek Harness skill: build, rebuild and refresh a course module's revision atlas — a mind map whose leaves are paged notebooks, extracted faithfully from the module's markdown with machine-checked coverage and a human-gated plan.

把 DSH 桌面端对话区底部的统计行换成可配置状态栏：10 个字段可选可排序，按官方峰谷口径估算费用，支持自定义模型单价与账户余额。

Windows computer-use plugin for AI agents with reusable window targets, UI Automation, window-bound screenshots, background-first verified input, isolated Chromium automation, MCP, CLI, and installable skills.

DSH frontend design generation skill: turns a design request into a polished, self-contained HTML/SVG artifact you can open by double-clicking (poster, infographic, landing page, chart, component mockup). Adapted from Anthropic canvas-design / web-artifac

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

Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.

Literature review stage — search, synthesis, and citation-chain tracking for asset pricing and machine learning research. Ships one skill.

Fuse v1.2.1 — an all-in-one UI design + code style plugin (the upgraded ui-aesthetics skill): design tokens in theme.json (with the brand color as the single source of truth) + code style in code-style.json + dsh-fuse-english fence page-level rendering +

Named, file-defined subagent roles for DeepSeek Harness: persona, subagent-only skills, tool permissions, an ordered model chain with failover, and derived groups.

Model training stage — end-to-end analysis, model training, and estimation for asset pricing and machine learning research. Ships one skill.

PPT stage — presentation generation (Beamer/Quarto) from the paper for asset pricing and machine learning research. Ships one skill.

NPM-installable DSH Web plugin for safely loading and managing skills across DSH and common local Agents.