Gan-lang/dsh-project-handbook ↗★ 0
dsh-project-handbook
适用于 DeepSeek Harness 的企业级项目交接与新人熟悉手册生成器
AI 分析
核心用途是通过扫描真实仓库,自动生成包含交接清单、术语表、运行指南等在内的 Markdown 格式交接文档包。适合需要进行项目交接或快速引导新人上岗的团队。
安装
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Gan-lang/dsh-project-handbook说明文档
阅读完整 README ↗dsh-project-handbook
Company-grade project handover / onboarding handbook generator for DeepSeek Harness — 项目交接与新人熟悉文档.
One command pair turns a real repository into a Markdown handover pack a new engineer can act on in their first week:
.handover/
├── PROJECT-HANDBOOK.md # 15-section handover manual (公司项目级)
├── ONBOARDING-CHECKLIST.md # day-one / week-one checklist with sign-off
├── GLOSSARY.md # domain + internal jargon (comprehensive profile)
├── RUNBOOK.md # failure cards, rollout, data repair (comprehensive)
├── inventory.json / .md # the fact base every claim is checked against
└── check-report.md # what the quality gate found
Why it is different from "ask the model to write a README"
- Evidence or
待确认. Every claim carries apath,path:lineor the exact command that proves it. Anything the repository cannot answer (deploy target, on-call rotation, business rules, why a decision was made) is written as an explicit open question instead of plausible-sounding prose. - A deterministic scan first.
project-inventory.mjswalks the repository and reports languages, manifests, framework signals, CI jobs and their commands, deployment artifacts, env-var names, migrations, entry points, test layout, git history and top authors, technical-debt markers, committed credential-shaped files — plus a pre-computedverifyFirstlist of the gaps. - A real quality gate.
check-handbook.mjsblocks missing sections, stubs, unfilled placeholders, speculation wording,✅badges with no citation, cited paths that do not exist, links and anchors that do not resolve, package scripts that nopackage.jsondefines, secrets pasted into the document, and claims that contradict the inventory. - Stack-aware reconnaissance. Recon playbooks for Java/Spring, Go, Python, Node/TypeScript, frontend, data/AI and legacy-ops projects tell the agent exactly which files to open and which facts to extract.
- Safe by construction. Read-only reconnaissance; credentials are never opened or quoted; no builds, migrations, deploys or commits happen while producing the document.
Install
From GitHub (works today, no npm publish needed):
dsh plugin --profile web add github:Gan-lang/dsh-project-handbook
From npm — once the package is published there:
dsh plugin --profile web add dsh-project-handbook
From a local checkout:
dsh plugin --profile web add /absolute/path/to/dsh-project-handbook
Whichever source you use, finish by adding the bundle to the profile's ordered
bundle list in $DSH_HOME/profiles/web/package.json:
{
"dsh": {
"profile": {
"bundles": ["@deepseek-ai/dsh-base", "@deepseek-ai/dsh-web-app", "dsh-project-handbook"]
}
}
}
Restart dsh web. The plugin mounts only the bundled skill (no host services, no
client code): cordis.patch.yml registers a @deepseek-ai/dsh-skill-filesystem
provider whose bundledSkillDir is resolved from the installed package identity,
so the skill appears in the session catalog as project-handbook.
Use
Ask in any session:
生成这个项目的交接文档,要公司项目级、新人能直接上手的那种
The skill:
- runs
scripts/project-inventory.mjs(--root . --out .handover/inventory.json); - reads the matching stack playbook(s) and the code that carries the project story;
- fills the templates in
assets/(profilecompact/standard/comprehensive); - runs
scripts/check-handbook.mjsuntil it passes, then completes the manual acceptance list inreferences/quality-gate.md; - reports the files, the inspected commit, and the short list of questions the project owner must answer.
The scripts are plain ESM and also run standalone:
node skills/project-handbook/scripts/project-inventory.mjs --root . --help
node skills/project-handbook/scripts/check-handbook.mjs .handover/PROJECT-HANDBOOK.md \
--root . --facts .handover/inventory.json --profile standard --report .handover/check-report.md
Layout
dsh-project-handbook/
├── cordis.patch.yml # mounts the bundled skill provider
├── lib/index.js # package identity + skill-root resolver
└── skills/project-handbook/
├── SKILL.md # the workflow the agent follows
├── scripts/project-inventory.mjs # repository reconnaissance → JSON + Markdown
├── scripts/check-handbook.mjs # documentation quality gate
├── references/ # evidence rules, content standard, stack playbooks,
│ # credential rules, quality gate
└── assets/ # fill-in document templates
Requirements
Node.js ^22.19.0 || >=24.0.0 (no runtime dependencies) and a DSH host that
ships @deepseek-ai/dsh-skill-filesystem.
License
MIT