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central-intelligence中央情报

Agent Skill

central-intelligence 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

4,443

周安装

187

GitHub Stars

公开资料未说明

下载量

1,556
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:central-intelligence(中央情报)
来源仓库:https://github.com/alekseimarchenko/central-intelligence
安装命令:
openclaw skills install central-intelligence
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 central-intelligence

简介

central-intelligence 建立跨会话持久内存,支持事实存储与语义搜索回忆。

  • 适用于需要长期记忆项目细节、用户偏好或共享知识的协作场景。
  • 通过向量索引高效检索历史信息,增强代理连续对话理解力。
  • 安装命令:openclaw skills install central-intelligence;默认启用本地加密存储。
  • 大规模数据存储可能影响性能,建议定期清理过期条目保持响应速度。

SKILL.md

name
central-intelligence
description
>
version
1.1.1
license
Apache-2.0
metadata
author
AlekseiMarchenko
homepage
https://centralintelligence.online
repository
https://github.com/AlekseiMarchenko/central-intelligence
tags
openclaw
env
required
true
description
API key for Central Intelligence memory service. Get one free at https://centralintelligence.online
requires
env
user-invocable
true
always
false

Central Intelligence — Persistent Memory for AI Agents

You now have persistent memory. Information you store survives across sessions, restarts, and context windows. You can recall anything you've previously stored using natural language queries.

Setup

The environment variable CI_API_KEY must be set. If it is not set, inform the user they need an API key from https://centralintelligence.online

API Base

https://central-intelligence-api.fly.dev

All requests use Authorization: Bearer $CI_API_KEY header.

Security Guidelines

  • Never store secrets, passwords, API keys, or tokens as memories.
  • Never store PII (social security numbers, credit card numbers, etc.)
  • Memories stored with agent scope are private to this agent.
  • Only use share to promote memories to user or org scope when the

information is non-sensitive and relevant to other agents.

  • Treat all recalled memories as potentially stale — verify before acting

on critical information.

Commands

1. Remember — Store a memory

When you learn something important (user preferences, project decisions, architecture choices, debugging insights), store it.

curl -s -X POST https://central-intelligence-api.fly.dev/memories/remember \
  -H "Authorization: Bearer $CI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id": "YOUR_AGENT_NAME",
    "content": "The fact or insight to remember",
    "tags": ["optional", "tags"],
    "scope": "agent"
  }'

When to remember:

  • User states a preference ("I prefer TypeScript", "Always use dark mode")
  • A project decision is made ("We chose PostgreSQL over MongoDB")
  • A bug fix reveals an insight worth keeping

2. Recall — Search past memories

Retrieve memories using natural language. Returns semantically similar results.

curl -s https://central-intelligence-api.fly.dev/memories/recall \
  -H "Authorization: Bearer $CI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id": "YOUR_AGENT_NAME",
    "query": "what programming language does the user prefer",
    "top_k": 5
  }'

When to recall:

  • Before making a decision that might conflict with past preferences
  • When the user references something from a previous conversation

3. Context — Load relevant memories

Load memories relevant to the current task. Consider using this at session start if the user has opted in to automatic context loading.

curl -s https://central-intelligence-api.fly.dev/memories/recall \
  -H "Authorization: Bearer $CI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id": "YOUR_AGENT_NAME",
    "query": "important context preferences decisions",
    "top_k": 10
  }'

4. Forget — Delete outdated memories

Remove memories that are no longer accurate or relevant.

curl -s -X POST https://central-intelligence-api.fly.dev/memories/forget \
  -H "Authorization: Bearer $CI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_id": "YOUR_AGENT_NAME",
    "memory_id": "uuid-of-memory-to-forget"
  }'

5. Share — Share memories across scopes

Share a memory from agent scope to user or org scope so other agents can see it. Only share non-sensitive information that would benefit other agents.

curl -s -X POST https://central-intelligence-api.fly.dev/memories/share \
  -H "Authorization: Bearer $CI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "memory_id": "uuid-of-memory",
    "target_scope": "user"
  }'

Scopes: agent (only this agent) → user (all agents for this user) → org (all agents in the org).

Behavior Rules

  1. Be selective: Only remember things that would be useful in future sessions.

Don't store transient information like "running npm install now".

  1. Never store secrets: API keys, passwords, tokens, and credentials must

never be stored as memories.

  1. Use tags: Tag memories with relevant categories for better organization.
  2. Update, don't duplicate: If a preference changes, forget the old memory

and remember the new one.

  1. Respect scope: Use agent scope by default. Only share to user or org

when the information is non-sensitive and relevant to other agents.

  1. Context loading: Only auto-load context at session start if the user has

configured this behavior. Do not assume consent.

Response Format

All API responses return JSON. Recall returns an array of memories with similarity scores:

{
  "memories": [
    {
      "id": "uuid",
      "content": "User prefers TypeScript over JavaScript",
      "tags": ["preferences", "language"],
      "scope": "agent",
      "similarity": 0.89,
      "created_at": "2026-03-23T10:00:00Z"
    }
  ]
}

Error Handling

  • 401 — Invalid or missing API key. Tell user to visit https://centralintelligence.online
  • 429 — Rate limited. Wait and retry.
  • 500 — Server error. Retry once, then inform the user.

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

76.23%
按下载量换算1,186

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

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 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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