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Agent Skill · 研究检索

dual-brain-memory-guardian(双脑记忆守护者)

dual-brain-memory-guardian 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

dual-brain-memory-guardian 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 25,571。

总安装 3,740周安装 159GitHub Stars 1下载 1,310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
MIT-0
版本
1.0.3

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:dual-brain-memory-guardian(双脑记忆守护者)
来源仓库:https://github.com/chenni666/dual-brain-memory-guardian
安装命令:
openclaw skills install dual-brain-memory-guardian
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install dual-brain-memory-guardian

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。

dual-brain-memory-guardian 用于记录错误、纠正和经验缺口,辅助语义回忆。适合在 OpenClaw 中持续沉淀问题修正与最佳实践的场景。使用 openclaw skills install dual-brain-memory-guardian 安装。

应关注其可能触发的文件读写或网络请求,评估对系统资源的影响。建议结合原始 README 确认数据持久化方式和隐私保护措施。

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 OpenClaw;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 openclaw skills install dual-brain-memory-guardian;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

    它需要接触敏感数据,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

dual-brain-memory-guardian 怎么安装?

在终端执行 openclaw skills install dual-brain-memory-guardian。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

dual-brain-memory-guardian 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

dual-brain-memory-guardian 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

dual-brain-memory-guardian 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

dual-brain-memory-guardian 用的人多吗?

公开数据是累计安装 3,740 次,近一周安装 159 次,下载 1,310 次,GitHub 1 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。

dual-brain-memory-guardian 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
dual-brain-memory-guardian

双脑记忆守护者 · 本页

3,7401接触敏感数据MIT-0有提醒

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

name
dual-brain-memory-guardian
description
Dual-brain memory skill for correction handling, rewrite quality, post-task reflection, and semantic recall of historical pitfalls.
metadata
{"openclaw":{"requires":{"bins":["node","npm"],"env":["PINECONE_API_KEY"]},"primaryEnv":"PINECONE_API_KEY","os":["linux","darwin","win32"],"skillKey":"dual-brain-memory-guardian","install":[{"id":"brew-node","kind":"brew","formula":"node","bins":["node","npm"],"label":"Install Node.js + npm (brew)","os":["darwin","linux"]},{"id":"nodejs-download","kind":"download","url":"https://nodejs.org/en/download","label":"Install Node.js (manual download)","os":["win32"]}]}}
user-invocable
true

Dual-Brain Memory Guardian

Description

This skill combines a strict Markdown rule brain with a Pinecone experience brain. It is designed for reliable behavior constraints, correction-driven learning, and semantic recall of prior pitfalls.

Usage

Use this skill when any of the following applies:

  1. The user corrects your output or asks for a rewrite.
  2. You complete non-trivial work and need structured self-reflection.
  3. You need to recall similar historical pitfalls with fuzzy semantic matching.
  4. You need high-confidence behavior constraints that must not be violated.
  5. You encounter execution errors, regressions, or reasoning mistakes and need to preserve root cause.

Common trigger hints: correction, rewrite, reflection, pitfall, memory recall, behavior constraints, error, regression, root cause.

Instructions

Document Ownership (Single Source of Truth)

To avoid drift and contradictory edits, documentation ownership is strict:

  1. Runtime execution flow lives in operations.md only.
  2. Learning criteria and promotion logic live in learning.md only.
  3. Safety and data boundaries live in boundaries.md only.
  4. Setup and wiring steps live in setup.md only.

If there is any wording mismatch, follow the owner document above instead of this file.

Architecture (Minimal Contract)

This skill uses a dual-brain contract:

  1. Left Brain (Markdown): explicit rules and durable preferences.
  2. Right Brain (Pinecone): episodic corrections, reflections, and semantic recall.

Conflict order remains fixed:

  • Project Markdown > Domain Markdown > Global Markdown > Pinecone recall.

Mandatory Trigger Entry Points

The skill requires these command-level hooks to exist:

  1. memory:session-start
  2. memory:auto-session-start
  3. memory:on-correction
  4. memory:on-task-complete
  5. memory:auto-task-complete
  6. memory:mark-promoted

Execution details, retries, and sequencing are defined in operations.md. Runtime guard for these triggers is enforced by scripts/memory-cli.js.

Proactive Trigger Behavior (Required)

When this skill is active, trigger commands should be called proactively:

  1. On session/conversation start, call memory:auto-session-start before substantial work.
  2. On final response for non-trivial work, call memory:auto-task-complete before ending.
  3. Keep memory:on-correction for immediate correction capture events.
  4. When an error happens, call memory:on-correction immediately with what failed and why (root cause).

Fallback policy:

  1. If auto wrappers are unavailable, call memory:session-start and memory:on-task-complete manually.

Quick Reference

TopicFile
Skill contractSKILL.md
Setupsetup.md
Runtime operationsoperations.md
Reflection templatereflections.md
Heartbeat behaviorheartbeat-rules.md
Safety boundariesboundaries.md
Pinecone config/runtimesrc/pinecone/
CLI entrypointscripts/memory-cli.js

Requirements

  • Node.js >= 20
  • npm
  • @pinecone-database/pinecone
  • Required environment variable: PINECONE_API_KEY
  • Optional runtime environment variables:

- PINECONE_INDEX_NAME - PINECONE_CLOUD - PINECONE_REGION - PINECONE_MODEL - PINECONE_FIELD_MAP_TEXT - PINECONE_NAMESPACE_PREFIX - MEMORY_TENANT - PINECONE_IMPORT_INTEGRATION_ID - DUAL_BRAIN_MEMORY_HOME

  • Pinecone integrated index model: multilingual-e5-large

Optional for bulk import:

  • Object storage path (s3://, gs://, Azure Blob URL)
  • Integration ID for private buckets

Rules Index

  • Learning and promotion: learning.md
  • Runtime triggers and recall flow: operations.md
  • Local reflection template: reflections.md
  • Safety and redaction: boundaries.md
  • Scale and compaction strategy: scaling.md

Scope

This skill ONLY:

  • Maintains rule memory in ~/dual-brain-memory-guardian/.
  • Maintains experience memory in Pinecone.
  • Uses npm-based Pinecone SDK operations (upsertRecords, searchRecords, startImport, describeImport, describeIndexStats).

This skill NEVER:

  • Treats Pinecone recall as stronger than explicit Markdown contracts.
  • Stores sensitive raw secrets in vector memory.
  • Performs destructive heartbeat rewrites of uncertain content.

Feedback

  • If useful: clawhub star dual-brain-memory-guardian
  • Keep skills updated: clawhub sync

平台分布

OpenClaw

85.55%
按下载量换算1,121

安全审计

ClawScan

通过

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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