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Agent Skill · 研究检索

project-onboard(船上项目)

project-onboard 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

project-onboard 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 56,510。

总安装 449周安装 18GitHub Stars 公开资料未说明下载 145核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:project-onboard(船上项目)
来源仓库:https://github.com/fearovex/claude-config
仓库路径:skills/project-onboard
安装命令:
npx skills add https://github.com/fearovex/claude-config --skill project-onboard
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/fearovex/claude-config --skill project-onboard

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

project-onboard 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果时使用。可通过 npx skills add 命令从指定仓库安装,具体用法需结合 README 进一步确认。

安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/project-onboard

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/fearovex/claude-config --skill project-onboard;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

project-onboard 怎么安装?

在终端执行 npx skills add https://github.com/fearovex/claude-config --skill project-onboard。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

project-onboard 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

project-onboard 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

project-onboard 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

project-onboard 用的人多吗?

公开数据是累计安装 449 次,近一周安装 18 次,下载 145 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

project-onboard 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
project-onboard

船上项目 · 本页

449—调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

project-onboard

Reads the current project's file system and determines which of 6 onboarding cases applies, then recommends the exact command sequence.

Triggers: /project-onboard, onboard project, diagnose project state, what do I run first, project setup help


Process

I run a 5-check waterfall in strict priority order. I read real files — I never ask the user questions. The first failing check determines the primary case assignment. Check 4 is non-blocking: a project can simultaneously be Case 6 (healthy) and have local skill issues.

Check 1 — CLAUDE.md exists

Read .claude/CLAUDE.md (also accept CLAUDE.md at project root for global-config repos).

If absent → Case 1: Brand-new project

## Diagnosis

Project state: Case 1 — Brand-New Project

Detected:
- .claude/CLAUDE.md: NOT FOUND
- No Claude configuration present in this project

Warnings:
- None

## Recommended Command Sequence

1. /project-setup     — creates .claude/CLAUDE.md, ai-context/ skeleton, persists context to engram
2. /memory-init       — generates ai-context/ files from real project content
3. /project-audit     — produces audit-report.md with score and findings
4. /project-fix       — applies all corrections from the audit report

## Notes
After /project-fix, re-run /project-audit to verify score ≥ 75 and SDD Readiness = FULL or PARTIAL.
See ai-context/scenarios.md → Case 1 for failure modes and recovery steps.

Stop here if Case 1.


Check 2 — Engram MCP reachable

Check if Engram MCP is reachable (call mem_context).

  • If Engram is reachable → SDD infrastructure lives in Engram. Treat the project as healthy for this check and continue to Check 3.
  • If Engram is NOT reachable → Case 2 (below).

If Engram not reachable → Case 2: CLAUDE.md present but no SDD persistence

## Diagnosis

Project state: Case 2 — CLAUDE.md Without SDD Persistence

Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: NOT REACHABLE
- SDD cannot persist artifacts without Engram

Warnings:
- [list any ai-context/ files found or note if ai-context/ is absent]

## Recommended Command Sequence

1. Ensure Engram MCP server is running and configured
2. /project-audit     — diagnose the full scope of what is missing
3. /project-fix       — adds SDD section to CLAUDE.md
4. /memory-init       — if ai-context/ is empty or absent
5. /project-audit     — verify score improved

## Notes
project-fix will ask before every change — review each proposed action carefully.
See ai-context/scenarios.md → Case 2 for failure modes and recovery steps.

Stop here if Case 2.


Check 3 — ai-context/ has ≥ 3 populated files

Read ai-context/ directory. Count files that exist AND have more than 10 lines. Expected files: stack.md, architecture.md, conventions.md, known-issues.md, changelog-ai.md.

If fewer than 3 populated files → Case 3: Partial SDD, sparse memory layer

## Diagnosis

Project state: Case 3 — Partial SDD (ai-context/ is sparse)

Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: REACHABLE
- ai-context/ populated files: [N] of 5 (minimum needed: 3)
- Missing or empty: [list each absent/stub file]

Warnings:
- [list any other issues found, e.g. stale onboarding.md]

## Recommended Command Sequence

1. /memory-init       — regenerates all ai-context/ files from real project state
2. /project-audit     — verify D2 score improved
3. /project-fix       — address any remaining findings

## Notes
/memory-init does not overwrite files that already have substantial content.
See ai-context/scenarios.md → Case 3 for failure modes and recovery steps.

Stop here if Case 3.


Check 4 — Local skills review (non-blocking)

Read .claude/skills/ directory. If it exists and has any subdirectories, record a warning for the diagnosis output. Do not stop — continue to Check 5.

Local skills warning (append to any case diagnosis):

Warnings:
- .claude/skills/ found with [N] local skill(s): [list names]
  Run /project-audit to see Dimension 9 findings (duplicate detection, structural completeness, language compliance).
  Run /project-fix Phase 5 to apply corrections after auditing.

Check 5 — Orphaned SDD changes

Search engram for active SDD changes: mem_search(query: "sdd/", project: "{project}"). Filter for changes that have a state artifact but no archive-report, and check if they have tasks and verify-report artifacts.

If any change is missing tasks OR verify-report artifacts → Case 5: Orphaned or stale changes

## Diagnosis

Project state: Case 5 — Orphaned SDD Changes

Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: REACHABLE
- ai-context/: adequate ([N] populated files)
- Orphaned changes:
  - [change-name]: missing [tasks | verify-report]
  - [change-name]: missing [tasks | verify-report]

Warnings:
- [local skills warning if Check 4 triggered]

## Recommended Command Sequence

1. /sdd-status        — see all active changes and their current phase
2. For each orphaned change, one of:
   /sdd-apply <name>  — if tasks.md is missing (change never implemented)
   /sdd-verify <name> — if implemented but never verified
   /sdd-archive <name> — if complete but never archived
3. /project-audit    — verify D3 shows no orphaned changes

## Notes
To discard a dead-end change: run /sdd-archive <name> to close it in engram.
See ai-context/scenarios.md → Case 5 for failure modes and recovery steps.

Stop here if Case 5.


Check 6 — All healthy (default)

All checks passed. The project is fully configured.

## Diagnosis

Project state: Case 6 — Fully Configured

Detected:
- .claude/CLAUDE.md: FOUND
- Engram MCP: REACHABLE
- ai-context/: adequate ([N] populated files)
- Engram: no orphaned SDD changes

Warnings:
- [local skills warning if Check 4 triggered]
- [stale onboarding.md warning if Last verified > 90 days: "Run /project-update to refresh user docs"]

## Recommended Command Sequence

For a well-understood change:
  1. /sdd-propose <change-name>  — create proposal (orchestrator fast-forwards planning automatically)
  2. /sdd-apply <change-name>    — implement the task plan

For a complex or vague change:
  1. /sdd-explore <topic>        — investigate the area before committing to a change
  2. /sdd-propose <change-name>  — create proposal from exploration findings
  3. /sdd-apply <change-name>    — implement the task plan

## Notes
Multi-phase flows (propose → spec+design → tasks in one shot, or full cycles with exploration) are handled
by the orchestrator as meta-commands typed directly in conversation — not invoked as skills.
See ai-context/quick-reference.md for entry-point guidance.

Check 7 — Runtime sync hint (non-blocking, global-config mode only)

If install.sh AND skills/ exist at the project root (i.e., the cwd is the agent-config meta-repo), append the following line to the Warnings: section of the case diagnosis output — regardless of which case was assigned:

- Run /claude-folder-audit to verify ~/.claude/ is in sync with this repo (installation drift check).

This check MUST NOT change the case assignment, alter the Recommended Command Sequence, or interrupt the existing 6-check waterfall. It is a hint only.


Stale docs warning logic

After determining the primary case, check ai-context/onboarding.md, ai-context/scenarios.md, and ai-context/quick-reference.md for the > Last verified: field. If any file's date is more than 90 days from today, append to the Warnings section:

- [filename] is stale ([N] days since last verification). Run /project-update to refresh.

Rules

  • Do not ask the user any questions — detection is fully automatic from file-system state
  • Detection is derived from real file presence/absence — no hardcoded case IDs or lookup tables
  • Priority order is strict: once a case is assigned at check N, do not also assign a lower-priority case (exception: Check 4 local skill flag is always surfaced as a warning, non-blocking)
  • Emit structured output only — no raw directory listings, no stack traces, no internal file dumps
  • Make no file-system changes — this skill is 100% read-only
  • Always include a ## Notes section pointing to the relevant case in ai-context/scenarios.md for failure modes

平台分布

Codex

39.2%
按下载量换算57

Claude

28.77%
按下载量换算42

Cursor

18.41%
按下载量换算27

Gemini CLI

10.89%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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