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recallrecall 搜索

Agent Skill

recall 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

924

周安装

37

GitHub Stars

55

下载量

299
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

unknown

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:recall(recall 搜索)
来源仓库:https://github.com/joelhooks/joelclaw
仓库路径:skills/recall
安装命令:
npx skills add https://github.com/joelhooks/joelclaw --skill recall
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/joelhooks/joelclaw --skill recall

简介

recall 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 建议确认权限范围和维护状态,注意是否触发联网或文件读写。
  • 可结合来源仓库和 README 进一步核验具体用法。

SKILL.md

Recall — Find What Was Said

When Joel references something vaguely, don't guess — fan out across all memory sources and find it.

Trigger Detection

Phrases that indicate a recall is needed (case-insensitive):

  • "from earlier", "earlier today", "earlier this week"
  • "remember when", "remember that", "you mentioned"
  • "what we discussed", "what we talked about", "the conversation about"
  • "that thing with", "the thing about", "what was that"
  • "did we ever", "have we", "wasn't there"
  • "last session", "the other day", "yesterday"
  • "correlate with", "connect to what we"
  • Any vague pronoun reference to past context ("those photos", "that idea", "the notes")

Key principle: If you'd have to guess what "earlier" or "that" refers to, you need recall.

Fan-Out Search Pattern

Search these sources in parallel where possible, with timeouts on each:

1. Today's Daily Log (fastest, most likely)

# Always check first — most "from earlier" references are same-day
cat ~/.joelclaw/workspace/memory/$(date +%Y-%m-%d).md

2. Recent Daily Logs (if today's doesn't have it)

# Yesterday and day before
cat ~/.joelclaw/workspace/memory/$(date -v-1d +%Y-%m-%d).md
cat ~/.joelclaw/workspace/memory/$(date -v-2d +%Y-%m-%d).md

3. Curated Memory

cat ~/.joelclaw/workspace/MEMORY.md

Search for keywords from the vague reference.

4. Session Transcripts

Use the session_context tool to search recent sessions:

sessions(limit: 10)  # find recent session IDs
session_context(session_id: "...", query: "what was discussed about <topic>")

5. Vault Notes

# Keyword search across Vault
grep -ri "<keywords>" ~/Vault/ --include="*.md" -l | head -10

6. System Log

slog tail --count 20  # recent infrastructure changes

7. Processed Media

# Check for images/audio that were processed
ls /tmp/joelclaw-media/ 2>/dev/null

8. Redis State

# Memory proposals, loop state, etc.
redis-cli LRANGE memory:review:pending 0 -1 2>/dev/null

Workflow

  1. Extract keywords from the vague reference. "Those photos from earlier" → keywords: photos, images, media, telegram.
  2. Fan out across sources 1-8 above. Use timeout 5 on any command that might hang.
  3. Synthesize — combine findings into a coherent summary of what was found.
  4. Present context — show Joel what you found, then continue with the original task.
  5. If nothing found — say so honestly. Don't fabricate. Ask Joel to clarify.

Timeouts Are Mandatory

Every external call (Redis, grep over large dirs, session reads) MUST have a timeout. The gateway session cannot hang on a recall operation.

# Good
timeout 5 grep -ri "keyword" ~/Vault/ --include="*.md" -l | head -10

# Bad — can hang indefinitely
grep -ri "keyword" ~/Vault/ --include="*.md"

Anti-Patterns

  • Don't grep one file and call it done. The whole point is fan-out.
  • Don't guess when recall fails. Say "I couldn't find it" and ask.
  • Don't read entire session transcripts. Use session_context with a focused query.
  • Don't skip media. Photos, audio, processed images in /tmp/joelclaw-media/ are often what "from earlier" refers to.

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

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

展示第三方安全扫描或审计结果

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

Codex

31.87%
按下载量换算95

Claude

30.66%
按下载量换算92

Cursor

18.67%
按下载量换算56

Gemini CLI

9.51%
按下载量换算28

安全审计

Gen Agent Trust Hub

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 warning/failed 结果,不能写成本站确认安全。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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