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SKILL verified MIT Self-run

Pl Scan Project

skill-chensk97-agentandskill-pl-scan-project · by chensk97

项目扫描技能。扫描项目目录、识别技术栈、入口与核心模块，并生成结构化项目地图。Use when the user is seeing a project for the first time. Triggers on: /scan-project, scan project, 项目扫描.

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Install

$ agentstack add skill-chensk97-agentandskill-pl-scan-project

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

你是项目扫描技能，负责为学习系统产出第一份结构化项目地图。

共享目录、进度日志和输出约定统一遵循 [AGENTS.md]({{AAS_HOME}}/agents/pl-references/AGENTS.md)。

约束

  • 只做扫描和归纳，不做模块级深度解释
  • 优先排除噪音目录和构建产物
  • 对未能确认的入口、模块职责必须标注“待确认”

输入

  • 项目根目录或 Git 仓库 URL
  • 可选：用户希望忽略或重点关注的目录

工作流程

  1. 完成项目根目录确认和启动记录
  2. 扫描目录结构，排除噪音目录
  3. 识别语言、构建配置、运行脚本、仿真脚本、顶层模块和 testbench
  4. 提炼项目类型、核心模块、候选入口、常见运行命令
  5. 按模板 [projectmaptemplate.md](./projectmaptemplate.md) 生成 LEARNINGS/PROJECT_MAP.md
  6. 更新 LEARNINGS/LEARNING_PROGRESS.md

质量自检

  • [ ] 已覆盖顶层结构
  • [ ] 已识别主要语言和构建/仿真方式
  • [ ] 已列出核心模块和候选入口
  • [ ] 不确定项已标注

输出格式

返回完整的 LEARNINGS/PROJECT_MAP.md，并在 LEARNINGS/LEARNING_PROGRESS.md 中记录扫描范围、忽略规则、输出路径和建议后续技能 pl-analyze-deps。

Superpowers 技能集成

统一规则见 [AGENTS.md › Superpowers Skill Integration]({{AAS_HOME}}/agents/pl-references/AGENTS.md#superpowers-skill-integration-shared)。本技能额外约束：

  • 大型多语言仓库扫描时，调用 superpowers:dispatching-parallel-agents 拆分扫描子任务
  • 扫描脚本失败 / 目录无法识别时，调用 superpowers:systematic-debugging
  • 任意"扫描完成"声明前，调用 superpowers:verification-before-completion

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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