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cognitioncognition 搜索

Agent Skill

cognition 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

10,960

周安装

466

GitHub Stars

2

下载量

3,840
OpenClaw

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-0

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:cognition(cognition 搜索)
来源仓库:https://github.com/zurbrick/cognition
安装命令:
openclaw skills install cognition
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 cognition

简介

OpenClaw 代理的实用内存架构,帮助记住承诺、检索上下文并防止重复错误。

  • 适用于 GitHub 仓库、Issue、Pull Request 和代码协作信息管理。
  • 可编译可重用程序片段,提升开发效率。
  • 安装命令:openclaw skills install cognition;建议确认权限与维护状态。
  • 注意:需评估是否会触发联网、命令执行或文件读写操作。

SKILL.md

name
cognition
description
Practical memory architecture for OpenClaw agents. Use when an agent needs to remember commitments across sessions, retrieve prior context, prevent repeat mistakes, stage durable-memory updates safely, compile reusable procedures, or improve memory hygiene over time. Supports a 3-tier adoption path: Core, Recommended, and Advanced.

Cognition

Cognition gives an OpenClaw agent a practical memory architecture: raw logs, durable knowledge, commitments, and reusable procedures.

Use it to make memory operational, not decorative.

Start Here

Install the scaffolding:

bash {baseDir}/scripts/install.sh

Then adopt it in 3 tiers.

Tier 1 — Core

Adopt this first. It is the smallest useful subset.

Core behavior

  1. Log important work to memory/YYYY-MM-DD.md
  2. Keep durable facts in MEMORY.md and deeper detail in memory/bank/*.md
  3. Track commitments in memory/FUTURE_INTENTS.md
  4. Add the protocol blocks from {baseDir}/references/protocols.md to your AGENTS.md

What Core gives you

  • recent-session continuity
  • a compact durable memory index
  • fewer dropped promises
  • a default place to put important facts instead of hoping the model remembers

Tier 2 — Recommended

Adopt this once Core is part of normal use.

Add these pieces

  • nightly staged consolidation via {baseDir}/references/consolidation-prompt.md
  • reusable procedures in memory/procedures/
  • procedure registry in memory/procedures/index.yaml
  • importance tagging from {baseDir}/references/protocols.md

Safety model

  • consolidation stages proposals before durable mutation
  • daily logs stay append-only
  • uncertain items stay tagged [NEEDS_REVIEW]
  • new procedures start as draft
  • promote procedures cautiously: draftreviewedtrusted

Tier 3 — Advanced

Only adopt this if Core and Recommended are already working.

Optional overlays

  • memory/bank/cross-references.md for linked retrieval
  • memory/KNOWLEDGE_MAP.md for coarse confidence tracking
  • memory/meta/gap_tracker.json for repeated retrieval misses
  • memory/meta/retrieval_log.json for retrieval analytics
  • weekly reflection via {baseDir}/references/weekly-reflection-prompt.md
  • hybrid retrieval tuning via {baseDir}/references/config.md

Advanced is for sharper retrieval and maintenance, not for replacing the Core system.

Core File Map

Always-on files

  • memory/YYYY-MM-DD.md — daily session log
  • MEMORY.md — durable fact index
  • memory/bank/*.md — deeper topic files
  • memory/FUTURE_INTENTS.md — commitments and deferred actions

Recommended files

  • memory/consolidation/YYYY-MM-DD-staged.md — staged memory proposals
  • memory/procedures/index.yaml — procedure registry
  • memory/procedures/*.md — reusable procedures

Advanced files

  • memory/KNOWLEDGE_MAP.md
  • memory/bank/cross-references.md
  • memory/meta/gap_tracker.json
  • memory/meta/retrieval_log.json
  • memory/summaries/YYYY-WNN.md

Reference Map

Read only what you need:

  • {baseDir}/references/protocols.md — protocol blocks to copy into AGENTS.md
  • {baseDir}/references/consolidation-prompt.md — nightly staged consolidation
  • {baseDir}/references/weekly-reflection-prompt.md — weekly reflection without direct mutation
  • {baseDir}/references/architecture.md — core systems, overlays, retrieval tiers, safety notes, file structure
  • {baseDir}/references/config.md — advanced hybrid retrieval tuning
  • {baseDir}/references/cognitive-science.md — theory appendix

Guardrails

  • Prefer staged proposals over silent durable-memory edits
  • Keep raw logs append-only
  • Keep MEMORY.md compact; move detail into memory/bank/
  • Treat procedure promotion as earned, not automatic
  • If retrieval fails, log the gap instead of inventing certainty

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

86.31%
按下载量换算3,314

安全审计

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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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