dsh-academic-research-skills
Manifest valid★ 24Ported from the ARS Claude Code plugin (44k+ stars on GitHub): academic research skills for DeepSeek Harness — a deep-research agent team, a paper-writing pipeline, a multi-perspective peer-review pan
dsh-academic-research-skills
DeepSeek Harness(DSH)插件:把 Claude Code 的 Academic Research Skills (ARS) (v3.21.1,CC-BY-NC-4.0)移植为 DSH 技能。
安装后自动获得:
- 4 个模型可调用技能:
deep-research(13-agent 调研团队,8 种模式)、academic-paper(12-agent 论文写作,11 种模式)、academic-paper-reviewer(5 席位同行评审面板)、academic-pipeline(10 阶段全流水线编排) - 16 个用户可调用命令:
/ars-full、/ars-plan、/ars-reviewer、/ars-lit-review、/ars-abstract、/ars-revision、/ars-outline、/ars-citation-check、/ars-disclosure、/ars-format-convert、/ars-rebuttal-audit、/ars-revision-coach、/ars-cache-invalidate、/ars-mark-read、/ars-unmark-read、/ars-3w
署名 / Attribution:本项目为 ARS 的 DSH 移植,技能内容与命令衍生自 Cheng-I Wu(Imbad0202)的 academic-research-skills, 全部内容(含移植层)遵循 CC-BY-NC-4.0(非商业用途),详见 NOTICE.md 与 LICENSE。
安装
要求:DeepSeek Harness(dsh)0.1.x,pnpm 可用。
# 方式一:GitHub 仓库(公开后可用)
dsh plugin --profile web add github:nullptr-DZF/dsh-academic-research-skills
# 方式二:本地路径(开发调试)
dsh plugin --profile web add <本仓库绝对路径>
# 重启 dsh web 后生效(技能目录会自动出现)
安装后 dsh.profile.bundles 会追加 dsh-academic-research-skills,启动时
lib/startup.js 把 20 个技能注册进 ctx.skills。
使用
| 用法 | 操作 |
|---|---|
| 模型自动路由 | 直接说“做学术研究 / 文献综述 / 帮我审稿 / 写论文”等(技能描述带触发词) |
| 技能注入 | 输入 /deep-research、/academic-pipeline 等技能名 |
| 斜杠命令 | 输入 /ars-full(全流程)、/ars-reviewer(审稿)、/ars-plan(规划)等 |
与上游的差异
- hooks 不移植:上游
hooks/hooks.json(写保护 guard、SessionStart 播报) 是 Claude Code 专属;DSH 无 hook 系统,写保护由 DSH 自身文件沙箱承担。 - 确定性脚本需上游仓库:引用核验 gate 等
scripts/*.py不在本包内; 需要时 clone 上游仓库并按其 README 安装 Python 依赖(pypdf等)。 - 子代理:上游 39 个提示角色默认内联运行;3 个插件级 agent 文件随技能包
分发,需要时可把其内容作为
subagent工具的 prompt 使用。
重新生成命令包装
commands/ 由上游 commands/ars-*.md 转换而来(加入
disable-model-invocation: true + user-invocable: true):
node scripts/regenerate-commands.mjs <上游仓库路径>
English
A DeepSeek Harness plugin port of Claude Code's Academic Research Skills (ARS) (v3.21.1, CC-BY-NC-4.0).
Provides, out of the box:
- 4 model-invocable skills:
deep-research,academic-paper,academic-paper-reviewer,academic-pipeline - 16 user-invocable commands:
/ars-full,/ars-plan,/ars-reviewer,/ars-lit-review,/ars-abstract,/ars-revision,/ars-outline,/ars-citation-check,/ars-disclosure,/ars-format-convert,/ars-rebuttal-audit,/ars-revision-coach,/ars-cache-invalidate,/ars-mark-read,/ars-unmark-read,/ars-3w
Attribution: this is a DSH port of ARS; skill content and commands are derived from Cheng-I Wu's academic-research-skills. Everything in this repo (including the porting layer) is licensed CC-BY-NC-4.0 — non-commercial use only. See NOTICE.md and LICENSE.
Install
Requires DeepSeek Harness 0.1.x and pnpm.
dsh plugin --profile web add github:nullptr-DZF/dsh-academic-research-skills
# or from a local checkout:
dsh plugin --profile web add /path/to/this/repo
# restart `dsh web`; the skills then appear in the session catalog
The bundle patch mounts lib/startup.js, which registers the 20 skills into
ctx.skills at boot.
Differences from upstream
- Hooks are not ported: upstream
hooks/are Claude Code specific; DSH has no hook system (write protection is DSH's file sandbox). - Deterministic scripts live upstream:
scripts/*.py(citation verification gate, etc.) are not bundled; clone the upstream repo if you need them. - Subagents: the 39 prompt roles run inline by default; the 3 plugin-level
agent files ship with the skill bundles and can be used as
subagentprompts.
Regenerating command wrappers
commands/ is generated from upstream commands/ars-*.md:
node scripts/regenerate-commands.mjs <upstream-checkout-path>
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