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Agent Skill · 效率

shared-memory-governor(共享内存调速器)

shared-memory-governor 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

shared-memory-governor 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 7,224。

总安装 8,352周安装 348GitHub Stars 公开资料未说明下载 2,784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
1.0.2

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:shared-memory-governor(共享内存调速器)
来源仓库:https://github.com/jiy29104983/shared-memory-governor
安装命令:
openclaw skills install shared-memory-governor
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 shared-memory-governor

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

Shared-memory-governor 管理 OpenClaw 系统的基于文件的共享内存层。保留私人内存的同时提供独立审核通道,提升多代理协作效率。通过 clawhub 安装,安装命令为 openclaw skills install shared-memory-governor。

需明确不同代理间的内存隔离与同步规则。建议监控文件 I/O 性能影响,避免成为系统瓶颈。

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 shared-memory-governor;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

    它需要操作浏览器,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

shared-memory-governor 怎么安装?

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

shared-memory-governor 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。

shared-memory-governor 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

shared-memory-governor 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。

shared-memory-governor 用的人多吗?

公开数据是累计安装 8,352 次,近一周安装 348 次,下载 2,784 次。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。

shared-memory-governor 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

  • 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。
  • 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

  • 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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
shared-memory-governor

共享内存调速器 · 本页

8,352—操作浏览器MIT-0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

name
shared-memory-governor
description
Govern a file-based shared-memory layer for OpenClaw multi-agent and subagent systems. Preserve each agent’s private memory while adding a separate, reviewable shared layer for stable user preferences, shared rules, and durable cross-agent facts. Use when designing, initializing, registering, attaching, maintaining, or reviewing a shared-memory system with strict identity isolation, explicit local guidance, and conservative shared promotion.

Shared Memory Governor

Preserve each agent’s private long-term memory.

Add a separate, reviewable shared-memory layer for durable user preferences, shared rules, and cross-agent facts.

Keep assistant-specific identity context private.

What this skill is for

Use this skill to govern a shared-memory layer across multiple agents while preserving each agent’s private memory system.

This skill helps define:

  • what kinds of information may be shared
  • what kinds of information must remain private
  • how shared-memory files should be organized
  • how attached agents should read shared memory in a safe order
  • how shared-memory updates should remain reviewable and reversible

This skill is for workspace-scoped shared-memory design and maintenance. It is not a credential tool, not a hidden prompt tool, and not a system-level persistence mechanism.

Safety boundaries

Follow these boundaries at all times:

  • Operate only within user-designated workspace paths
  • Process only explicitly approved memory files
  • Treat shared memory as supplemental context, not identity-defining context
  • Keep assistant-specific identity context private
  • Keep shared-memory updates reviewable and reversible
  • Keep recurring schedules disabled by default unless the user explicitly enables them

Never:

  • read credentials, SSH keys, browser sessions, or unrelated local files
  • collect plaintext secrets into shared memory
  • alter hidden system prompts or hidden runtime policy layers
  • treat assistant identity files as shared-memory sources in v1
  • silently enable recurring background schedules

Core model

Use a two-layer long-term memory model:

  1. Private memory layer

- Each agent keeps its own curated memory notes - Each agent keeps its own daily memory files - Each agent keeps its own local assistant-specific context

  1. Shared memory layer

- Store shared files under the shared root directory - Use this layer for stable user preferences, shared rules, and durable cross-agent facts - Treat this layer as part of the long-term memory workflow - Do not use this layer for assistant-specific identity context

Core principles

Follow these rules at all times:

  1. Preserve private memory systems
  2. Share user-level and cross-agent durable context, not assistant-specific identity context
  3. Read private memory first, then shared memory
  4. Treat shared memory as supplemental background
  5. Never let shared memory override assistant-specific identity context or private identity guidance
  6. Do not auto-delete private entries after promotion to shared memory
  7. Require explicit local guidance for participating agents
  8. Keep assistant identity context private in v1
  9. Prefer conservative promotion decisions

Shared memory structure

Use the shared root with this default structure:

<sharedRoot>/
├── shared-user.md
├── shared-memory.md
├── shared-rules.md
├── shared-sync-log/
│   ├── YYYY-MM-DD_HHMM_scan.md
│   └── YYYY-MM-DD_HHMM_maintenance.md
└── archived/
    └── <agent>/

File roles

  • shared-user.md → stable user preferences, habits, and constraints
  • shared-memory.md → durable facts reusable across agents
  • shared-rules.md → governance rules for the shared-memory system
  • shared-sync-log/ → operational logs for review and traceability
  • archived/<agent>/ → archived local shared-memory guidance after detach

For detailed file-boundary examples, read:

  • references/shared-promotion-rules.md

High-level workflows

1) Initialize the shared-memory system

Use when the shared layer does not exist yet.

Goal:

  • create the shared root structure
  • create base shared files
  • create the default config
  • prepare shared scan and shared maintenance schedules in a disabled-by-default state

Use:

  • init

For config details, read:

  • references/config-reference.md

2) Register and attach an agent

Use when an agent should participate in the shared-memory system.

Goal:

  • add the agent to the participant set
  • create or update local shared-memory guidance
  • make the shared read path explicit and reviewable

Use:

  • register <agent>
  • attach <agent>

For startup guidance placement and cleanup rules, read:

  • references/startup-guidance-rules.md

Important:

  • register does not automatically mean attach
  • updating local guidance files does not retroactively change what an already-running session has loaded

3) Review status and local readiness

Use when checking whether the shared-memory system is set up correctly.

Goal:

  • inspect global shared-memory status
  • review whether each attached agent has complete local guidance
  • review schedule consistency against config

Use:

  • show-status
  • review-attachments
  • show-config
  • validate-config

For status and reporting fields, read:

  • references/status-review-fields.md

4) Run shared promotion

Use when updating the shared layer from approved upstream memory sources.

Goal:

  • review approved local memory sources
  • identify cautiously promotable shared candidates
  • update shared-memory files conservatively
  • record a scan log and summary

Use:

  • run-shared-scan

Default rule in v1:

  • shared promotion should be conservative
  • single-agent local items should be skipped by default unless they have explicit shared-scope justification

For promotion decisions and target-file boundaries, read:

  • references/shared-promotion-rules.md

5) Run shared maintenance

Use when reviewing and refining the shared layer itself.

Goal:

  • deduplicate shared entries
  • merge or refine overlapping entries when appropriate
  • prune outdated shared content
  • update governance notes when needed

Use:

  • run-shared-maintenance

For reporting fields and maintenance review structure, read:

  • references/status-review-fields.md
  • references/config-reference.md

6) Repair, detach, or remove an agent

Use when local shared-memory guidance is incomplete, stale, or no longer needed.

Use:

  • repair-attachment <agent>
  • detach <agent>
  • unregister <agent>

Rules:

  • detach should remove local shared-memory guidance, not private memory
  • unregister should normally happen after detach when local guidance is still active

For startup guidance repair and detach cleanup rules, read:

  • references/startup-guidance-rules.md

Reference map

Read these files only when needed:

  • references/startup-guidance-rules.md

- local startup guidance placement - fallback placement - attach success criteria - detach cleanup behavior

  • references/shared-promotion-rules.md

- shared-scope validation - promotion categories - target-file boundaries - promotion report fields

  • references/status-review-fields.md

- status display fields - attachment review fields - schedule consistency outcomes - maintenance report section order

  • references/config-reference.md

- config schema - field meanings - config-related command behavior - schedule/config consistency rules

Commands

V1 supports:

  • init
  • show-config
  • validate-config
  • update-config
  • register <agent>
  • unregister <agent>
  • attach <agent>
  • detach <agent>
  • repair-attachment <agent>
  • run-shared-scan
  • run-shared-maintenance
  • show-status
  • review-attachments
  • show-sync-logs
  • prune-sync-logs

Config-related commands may support explicit config paths.

Default operating stance

Keep this skill:

  • low-intrusion
  • explicit
  • auditable
  • configuration-driven
  • strict about identity isolation
  • conservative about write authority
  • centered on governance rather than hidden magic

平台分布

OpenClaw

93.41%
按下载量换算2,601

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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