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Agent Skill · 研究检索

context-saver(上下文保护程序)

context-saver 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。

context-saver 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,权限为只读;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 53,170。

总安装 539周安装 8GitHub Stars 13下载 65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:context-saver(上下文保护程序)
来源仓库:https://github.com/mhylle/claude-skills-collection
仓库路径:skills/context-saver
安装命令:
npx skills add https://github.com/mhylle/claude-skills-collection --skill context-saver
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/mhylle/claude-skills-collection --skill context-saver

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。

context-saver 实现工作上下文的磁盘化结构化保存,支持跨聊天会话继续复杂任务。提取信号丢弃噪声,仅保留核心状态信息如目标、进度和依赖项。适用于长时间会话中断、高风险操作前备份或团队协作交接场景。安装前建议确认本地写入权限和存储路径可访问性。

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/context-saver

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/mhylle/claude-skills-collection --skill contex…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

context-saver 怎么安装?

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

context-saver 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。

context-saver 需要什么权限?

权限级别是只读。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。

context-saver 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。

context-saver 用的人多吗?

公开数据是累计安装 539 次,近一周安装 8 次,下载 65 次,GitHub 13 星。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。

context-saver 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
context-saver

上下文保护程序 · 本页

53913只读未明确未通过

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

Context Saver

Overview

This skill enables structured preservation of working context to disk, allowing seamless continuation of complex tasks across chat sessions. It extracts signal from noise, capturing essential state while discarding ephemeral details.

When to Use

  • User explicitly requests context saving ("save context", "checkpoint this")
  • Before ending a long session with incomplete work
  • When switching focus and needing to preserve state
  • Before attempting risky operations that may require rollback
  • When collaborating and need to hand off context to another session

Core Principles

Signal Extraction Priority

  1. Trajectory (highest): What is the user trying to achieve? What's the end goal?
  2. Decisions: What choices were made and why? What was rejected?
  3. State: What code is being modified? What's the current progress?
  4. Approaches: What has been tried? What worked/failed?
  5. Noise (discard): Exploratory reads, rejected paths, verbose tool output

Information Density Rules

  • Include: Specific file:line references, concrete decisions, blockers, next steps
  • Exclude: General exploration, routine file reads, verbose error traces
  • Compress: Long code blocks → key excerpts with line references
  • Preserve: User-stated requirements verbatim, even if seemingly minor

Context File Structure

Create context files in docs/context/ or project root as CONTEXT-{topic}.md:

# Context: {Descriptive Title}

> Saved: {ISO timestamp}
> Session: {Brief session identifier}
> Status: {in-progress | blocked | ready-for-review | completed}

## Trajectory

**Goal**: {One sentence: what is the user ultimately trying to achieve?}

**Success Criteria**:
- {Concrete, measurable outcome 1}
- {Concrete, measurable outcome 2}

**Current Phase**: {Where in the journey: planning | implementing | debugging | testing | refining}

## Problem Statement

{2-4 sentences describing the core problem. Include:}
- What triggered this work
- Key constraints or requirements
- Why existing solutions don't suffice

## Active Code Focus

### Primary Files

| File | Lines | Reason |
|------|-------|--------|
| `path/to/file.ts` | 45-78 | {Why this section matters} |
| `path/to/other.ts` | 12-34 | {What's being modified here} |

### Key Code Context

// {file}:{start_line}-{end_line} // {Brief explanation of what this code does and why it's relevant} {Essential code excerpt - max 30 lines}


### Dependencies & Relationships

- `{file1}` imports from `{file2}` via `{what}`
- `{component}` depends on `{service}` for `{why}`

## Decisions Made

| Decision | Rationale | Alternatives Rejected |
| --- | --- | --- |
| {Choice made} | {Why this approach} | {What was considered but rejected} |

## Approaches Taken

### Succeeded

- {Approach}: {Brief result}

### Failed/Abandoned

- {Approach}: {Why it didn't work, lesson learned}

### In Progress

- {Current approach}: {Current state, what remains}

## User Requirements

> {Verbatim or near-verbatim capture of specific user requests}
>
> - "{Exact user statement about requirement}"
> - "{Another specific ask}"

## Blockers & Open Questions

- {Blocker 1}: {What's needed to unblock}
- {Question 1}: {Context for why this matters}

## Next Steps

1. {Immediate next action with specific file/function reference}
2. {Following action}
3. {Subsequent action}

## Session Notes

{Any important context that doesn't fit above - debugging findings, environment quirks, temporary workarounds}

---

*Resume command*: `Continue working on {brief description}. Read CONTEXT-{topic}.md first.`

Extraction Process

Step 1: Identify Trajectory

Before extracting anything, answer:

  • What transformation is the user trying to achieve?
  • What would "done" look like?
  • What constraints exist?

Step 2: Map Active Code

Scan recent tool calls to identify:

  • Files with Write/Edit operations → primary focus
  • Files with multiple Read operations → secondary context
  • Grep/Glob patterns → areas of exploration

For each active file, capture:

  • Specific line ranges being modified
  • The "why" behind modifications
  • Relationships to other files

Step 3: Extract Decisions

Review conversation for:

  • Explicit choices ("let's use X instead of Y")
  • Implicit preferences (user accepted one approach, rejected another)
  • Constraints stated or discovered

Step 4: Capture Approaches

Document what was tried:

  • Succeeded: Brief note on what worked
  • Failed: Crucially, why it failed (prevents re-trying)
  • In Progress: Current state and remaining work

Step 5: Preserve User Requirements

Search conversation for:

  • Direct quotes of user requirements
  • Specific asks even if mentioned once
  • Preferences and style guidance

Step 6: Define Next Steps

Convert remaining work into actionable items:

  • Each step should reference specific files/functions
  • Order by logical dependency
  • Include enough context to start without re-reading everything

Quality Checklist

Before finalizing context file:

  • [ ] Trajectory clear? Can a new session understand the goal in 30 seconds?
  • [ ] Code references specific? File:line, not just "the auth module"
  • [ ] Decisions documented? Including what was rejected and why?
  • [ ] User requirements preserved? Verbatim where possible?
  • [ ] Next steps actionable? Each step is specific enough to start immediately?
  • [ ] Noise removed? No exploratory reads, verbose outputs, tangential discussion?
  • [ ] Size reasonable? Under 500 lines, ideally under 300?

File Naming Convention


CONTEXT-{topic}.md # General format CONTEXT-auth-refactor.md # Feature work CONTEXT-bug-123.md # Bug fix CONTEXT-spike-caching.md # Investigation CONTEXT-{date}-{topic}.md # Time-sensitive work

Usage Examples

Saving Mid-Implementation Context


User: "Save context - I need to step away"

Action:

1. Identify trajectory (what feature being built)
2. Map all files with recent edits
3. Extract key code sections with line numbers
4. Document current approach and progress
5. List concrete next steps
6. Write to docs/context/CONTEXT-{feature}.md

Saving After Investigation


User: "Checkpoint this debugging session"

Action:

1. Capture problem statement and symptoms
2. Document what was investigated
3. Record findings (both positive and negative)
4. Note hypotheses tested and results
5. List remaining investigation paths
6. Write to docs/context/CONTEXT-debug-{issue}.md

Saving Before Risky Operation


User: "Save state before we refactor"

Action:

1. Document current working state
2. Capture all files that will be touched
3. Note the planned changes
4. Record rollback points
5. Write to docs/context/CONTEXT-pre-{operation}.md

Anti-Patterns to Avoid

  • Dumping full files: Use excerpts with line references
  • Including tool output: Summarize findings, don't paste logs
  • Vague references: "The service file" → "src/services/auth.service.ts:45-78"
  • Missing rationale: What was done without why
  • Forgotten rejections: Document why alternatives were rejected
  • Stale context: Always update, don't create parallel files

平台分布

Codex

33.92%
按下载量换算22

Claude

28.25%
按下载量换算18

Cursor

18.52%
按下载量换算12

Gemini CLI

9.87%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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