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reflect技能安全扫描

Agent Skill

reflect 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。

总安装

432

周安装

18

GitHub Stars

公开资料未说明

下载量

144
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:reflect(技能安全扫描)
来源仓库:https://github.com/robabby/claude-skills
仓库路径:skills/reflect
安装命令:
npx skills add robabby/claude-skills --skill "reflect"
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。

AgentSkills.tonpx skills
npx skills add robabby/claude-skills --skill "reflect"

简介

用于发现并安装 AI 代理技能的命令行工具。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中扩展 Agent 能力库。
  • 通过 npx skills add robabby/claude-skills --skill "reflect" 安装。
  • 需确认权限范围和维护状态,注意是否触发联网或外部依赖下载。
  • 建议结合来源仓库和 README 验证技能列表与安全边界。

SKILL.md

name
reflect
description
End-of-session reflection and memory consolidation

Reflect

Capture session learnings before ending. Counterpart to /hydrate.

Workflow

  1. Review what happened this session:

- What did we work on? - What decisions were made? - What did we learn? - What's unfinished or needs follow-up?

  1. Identify memories worth preserving:

- Episodic: Significant events, breakthroughs, frustrations - Semantic: New facts learned, definitions clarified - Procedural: Patterns discovered, how-tos established - Strategic: Decisions made, approaches chosen, plans formed

  1. For each memory, assess:

- Type (which folder) - Importance (0.0-1.0) - Concepts (search keywords)

  1. Create memory files in <vault>/Areas/AI/Memory/{Type}/:

- Filename: YYYY-MM-DD - Brief Title.md - Use standard frontmatter format

  1. Update living context if significant changes:

- Major state change -> Update Areas/AI/Context/Current State.md - New decision -> Update Areas/AI/Context/Decision Register.md - New connections -> Update Areas/AI/Context/Connections Map.md

  1. Optionally create session log in Areas/AI/Collaboration/Sessions/:

- Use existing session log template format - Link to memories created

  1. Summarize what was captured

Memory File Template

---
created: {today}
type: {episodic|semantic|procedural|strategic}
importance: {0.0-1.0}
concepts: [{keywords}]
source: session
---

# {Title}

{Content with context}

## Context

{Why this matters, when it applies}

Reflection Prompts

Ask yourself:

  • What would I want to know starting fresh on this topic?
  • What mistakes shouldn't be repeated?
  • What worked well?
  • What context would be lost if not stored?

What to Capture

Always capture:

  • Decisions and their rationale
  • Discovered patterns or processes
  • Project context that took time to establish
  • Unfinished work and next steps

Consider capturing:

  • Interesting technical details
  • User preferences observed
  • Problems encountered and solutions found

Skip:

  • Routine operations with no novel learning
  • Information already well-documented elsewhere
  • Transient details unlikely to matter later

Example

User: /reflect

Response: "Reflecting on this session...

We worked on: Obsidian-native memory system design

Key memories to store:

  1. Strategic: Decision to replace Hexis with Obsidian files
  2. Procedural: Memory file format with frontmatter schema
  3. Semantic: Commands live in ~/.claude/commands/

Creating 3 memories... -> Areas/AI/Memory/Strategic/2026-01-04 - Replace Hexis with Obsidian.md -> Areas/AI/Memory/Procedural/2026-01-04 - Memory File Format.md -> Areas/AI/Memory/Semantic/2026-01-04 - Command Location.md

Session context preserved. 3 memories stored."

Parameters

If $ARGUMENTS provided, use as focus area for reflection. Otherwise, reflect on the full session.

Response Format

  • Brief summary of session work
  • List of memories being stored (with types)
  • Confirmation of files created
  • Any notes about context updates or unfinished items

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.85%
按下载量换算43

windsurf

26.28%
按下载量换算38

trae

16.81%
按下载量换算24

OpenCode

13.44%
按下载量换算19

Cursor

8.25%
按下载量换算12

Codex

3.21%
按下载量换算5

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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