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Agent Skill · 研究检索

recovery(recovery 搜索)

recovery 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。

recovery 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,权限为需要联网;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 39,939。

总安装 1,346周安装 55GitHub Stars 25下载 436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:recovery(recovery 搜索)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/recovery
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill recovery
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/oimiragieo/agent-studio --skill recovery

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。

recovery 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景进行信息定位的研究与检索任务。通过关键词、任务场景或来源线索输入,获取相关结果列表。

安装命令:npx skills add https://github.com/oimiragieo/agent-studio --skill recovery。建议确认权限范围和维护状态,注意是否触发联网或文件操作。

来源仓库内路径:skills/recovery

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/oimiragieo/agent-studio --skill recovery;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

    它需要需要联网,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

recovery 怎么安装?

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

recovery 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。

recovery 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

recovery 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。

recovery 用的人多吗?

公开数据是累计安装 1,346 次,近一周安装 55 次,下载 436 次,GitHub 25 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。

recovery 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
recovery

recovery 搜索 · 本页

1,34625需要联网未明确通过

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

Recovery Skill

When to Use

  • Context window exhausted mid-workflow
  • Session interrupted or lost
  • Need to resume from last completed step
  • Workflow state needs reconstruction

Step 1: Identify Last Completed Step

  1. Check gate files for last successful validation:

- Location: .claude/context/history/gates/{workflow_id}/ - Find highest step number with validation_status: "pass" - This is the last successfully completed step

  1. Review reasoning files for progress:

- Location: .claude/context/history/reasoning/{workflow_id}/ - Read reasoning files up to last completed step - Extract context and decisions made

  1. Identify artifacts created:

- Check artifact registry: .claude/context/artifacts/registry-{workflow_id}.json - List all artifacts created up to last step - Verify artifact files exist

Step 2: Load Plan Documents

  1. Read plan document (stateless):

- Load plan-{workflow_id}.json from artifact registry - Extract current workflow state - Identify completed vs pending tasks

  1. Load relevant phase plan (if multi-phase):

- Check if project is multi-phase (exceeds phase_size_max_lines threshold) - Load active phase plan: plan-{workflow_id}-phase-{n}.json - Understand phase boundaries and dependencies

  1. Understand current state:

- Map completed tasks to plan - Identify next steps - Check for dependencies

Step 3: Context Recovery

  1. Load artifacts from last completed step:

- Read artifact registry - Load all artifacts with validation_status: "pass" - Verify artifact integrity

  1. Read reasoning files for context:

- Load reasoning files from completed steps - Extract key decisions and context - Understand workflow progression

  1. Reconstruct workflow state:

- Combine plan, artifacts, and reasoning - Create recovery state document - Validate state consistency

Step 4: Resume Execution

  1. Continue from next step:

- Identify next step after last completed - Load step requirements from plan - Prepare inputs for next step

  1. Planner updates plan status (stateless):

- Update plan-{workflow_id}.json with current status - Mark completed steps - Update progress tracking

  1. Orchestrator coordinates next agents:

- Pass recovered artifacts to next step - Resume workflow execution - Monitor for additional interruptions

</execution_process>

Failure Classification

When a task fails, classify the failure type:

Failure TypeIndicatorsRecovery Action
BROKEN_BUILDBuild errors, syntax errors, module not foundROLLBACK + fix
VERIFICATION_FAILEDTest failures, validation errors, assertion errorsRETRY with fix (max 3 attempts)
CIRCULAR_FIXSame error 3+ times, similar approaches repeatedSKIP or ESCALATE
CONTEXT_EXHAUSTEDToken limit reached, maximum length exceededCompress context, continue
UNKNOWNNo pattern matchRETRY once, then ESCALATE

Circular Fix Detection

Iron Law: If the same approach has been tried 3+ times without success, STOP.

When circular fix is detected:

  1. Stop the current approach immediately
  2. Document what was tried (approaches, errors, files)
  3. Try fundamentally different approach (different library, different pattern, simpler implementation)
  4. If still failing, ESCALATE to human intervention

Detection Algorithm:

  • Extract keywords from current approach (excluding stop words)
  • Compare with keywords from last 3 attempts
  • If Jaccard similarity > 30% for 2+ attempts, flag as circular

Example:

Attempt 1: "Using async await for fetch"
Attempt 2: "Using async/await with try-catch"
Attempt 3: "Trying async await pattern again"
=> CIRCULAR FIX DETECTED - Stop and try callback pattern instead

Attempt Count Thresholds

Failure TypeMax AttemptsThen Action
VERIFICATION_FAILED3SKIP + ESCALATE
UNKNOWN2ESCALATE
BROKEN_BUILD1ROLLBACK (if good commit exists)
CIRCULAR_FIX0Immediately SKIP

References

See references/ for detailed patterns:

  • failure-types.md - Failure classification details and indicators
  • recovery-actions.md - Recovery action decision tree and execution
  • merge-strategies.md - File merge strategies for multi-agent scenarios

<best_practices>

Recovery Validation Checklist

  • Last completed step identified correctly
  • Plan document loaded and validated
  • All artifacts from completed steps available
  • Reasoning files reviewed for context
  • Workflow state reconstructed accurately
  • No duplicate work will be performed
  • Next step inputs prepared
  • Recovery logged in reasoning file

</best_practices>

<error_handling>

Error Handling

  • Missing plan document: Request planner to recreate plan from requirements
  • Missing artifacts: Request artifact recreation from source agent
  • Corrupted artifacts: Request artifact recreation with validation
  • Incomplete reasoning: Use artifact registry and gate files to reconstruct state

</error_handling>

# 1. Check gate files for last completed step
ls .claude/context/history/gates/{workflow_id}/

# 2. Load plan document
cat .claude/context/artifacts/plan-{workflow_id}.json

# 3. Review reasoning files
cat .claude/context/history/reasoning/{workflow_id}/*.json

# 4. Resume from next step

</usage_example>

<usage_example> Natural language invocation:

"Resume the workflow from where we left off"
"Recover the workflow state and continue"
"What was the last completed step?"

</usage_example>

Related

  • Planner Agent: .claude/agents/core/planner.md
  • Memory files: .claude/context/memory/

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

平台分布

Codex

36.46%
按下载量换算159

Claude

30.27%
按下载量换算132

Cursor

16.43%
按下载量换算72

Gemini CLI

9.06%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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