Skills · DeepSeek Harness plugins — Page 57

DSH tools: list & search the 70-skill index bundled with codex-mobile-pro.

判定 Python 代码是原创还是演绎作品：给出与上游最长相同表达片段、逐条豁免依据和风险清单。纯本地 AST 分析，零依赖、不联网、不调模型。

Complaint-driven competitor research: enumerate competitors, extract features/pricing/positioning plus cited user complaints from reviews, forums, and issue trackers, cluster the complaints, and deliver a comparison table with copy-worthy and skip lists.

Spend the context window like a budget on long tasks: load files by graduated reads (head first, sections on demand, targeted search before full reads), store discovered facts to a notes file the moment they are established so nothing is re-derived, and re-state the running task plan at checkpoints — the difference between finishing a long task and drowning at 80%.

转债情报局 Convertible Bond Intel：可转债 Skill + DeepSeek Harness 插件。npm 包：@wxmark/dsh-tool-cb-intel

Lint your repo for chain-of-thought leakage — the session-transcript residue AI assistants leave in docs, comments, and commit-adjacent prose. Ships the cot-trim skill as an installable DeepSeek Harness plugin.

What will your agent's context cost before it runs? Audit instruction files, skills, MCP tool schemas and memory per source — with duplicates, always-on versus on-demand costs, and a budget you can enforce in CI.

Dayreel: turn a day of work into a content doc + daily report, then a narrated summary video. Two skills (dayreel-content, dayreel-render) and tools (fetch_today_recap, fetch_session_detail, dayreel_report, dayreel_render, dayreel_status).

Lightweight decision records for any project: capture decisions that are expensive to reverse or re-litigate — decision, alternatives, the why, reversibility — append-only, supersede instead of rewrite, kept where the project lives so the next session inherits the reasoning, not just the conclusion.

An unofficial desktop wrapper for DeepSeek Harness.

AI 小说创作工作台：在对话中管理大纲、章节、人物关系、世界观、时间线、禁写规则与一致性，让长篇小说越写越不乱。

DeepSeek-PA (DPA)：基于 DeepSeek Harness 的 Windows 桌面端。保留万物皆插件（Cordis）架构，Codex 风格界面，支持系统托盘常驻、开机自启、全局快捷键唤起。

DeerFlow 2.0 (SuperAgent Harness) as a DeepSeek Harness (dsh) plugin — a Lead Agent that decomposes tasks into sub-tasks and dispatches them to pluggable skills (research, data-analysis, slide, web, image, video) with web search/crawl, sandboxed Python, reliability middleware, and cross-session memory, packaged per the deepseek-harness plugin spec.

Deliverable version discipline: files that left your hands are immutable, dates beat the word final, one authoritative delivery directory per project, and a ledger tying filename to date to count to recipient — so nobody ever asks which FINAL_v3 is the real one.

Pre-send verification for deliverables: opens the real file to verify row and dedup counts, scans for placeholder residue, diffs incremental files against their stated baseline, and logs the batch in a ledger with candidate vs sendable counts kept separate.

深知可信办公全家桶：深知可信咨询、深知可信搜索、深知公文写作（skill + MCP 转接），面向 DeepSeek Harness (dsh)

Superpowers for the DeepSeek Harness: registers the Superpowers skills as a dsh skill catalog and injects the using-superpowers bootstrap into the system prompt.

WCAG 2.2 无障碍审计：POUR 原则、合规等级、自动化+人工验证、修复建议。受 wshobson/agents（38k★ MIT）启发。

WCAG 2.2 无障碍审计：POUR 原则、合规等级、自动化+人工验证、修复建议。受 wshobson/agents（38k★ MIT）启发。

学术研究流水线：研究问题→文献检索→来源核验→综合→论文写作→同行评审。受 Imbad0202/academic-research-skills（43k★）启发的精简原创版。

学术研究流水线：研究问题→文献检索→来源核验→综合→论文写作→同行评审。受 Imbad0202/academic-research-skills（43k★）启发的精简原创版。

Academic mode for DeepSeek Harness (dsh): a research persona, anti-fabrication rules for citations and data, and bilingual conventions. Pairs with dsh-ai4scholar (literature tools) and dsh-research (research skills).

ADHD 友好输出：行动先行、步骤编号、抑制离题、每轮重申状态、具体时间估计、让进展可见、就事论事错误、列表上限 5 项、无开场白/总结/结尾语。受 ayghri/i-have-adhd（22.3k★ MIT）启发。

DSH plugin: consult multiple expert advisor models in a retro chat-group card — auto-deepen consultation pipeline with real streaming, SSE replay, and 26 provider presets.