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Agent Skill · 效率

tidal-lock(潮汐锁)

tidal-lock 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

tidal-lock 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 7,465。

总安装 8,088周安装 337GitHub Stars 公开资料未说明下载 2,696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
1.0.0

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:tidal-lock(潮汐锁)
来源仓库:https://github.com/jcools1977/tidal-lock
安装命令:
openclaw skills install tidal-lock
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 tidal-lock

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。

tidal-lock 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。适用于检测模块间耦合度、优化代码结构、提升组件独立性等前端架构改进场景。通过分析依赖关系和变更影响范围,提供解耦建议和重构方向。

安装命令为 openclaw skills install tidal-lock,需确认是否会触发文件读写或网络请求。建议在使用前核查项目代码库结构和权限边界,避免误改关键模块。

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 tidal-lock;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

    它需要需要联网,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

tidal-lock 怎么安装?

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

tidal-lock 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。

tidal-lock 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

tidal-lock 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。

tidal-lock 用的人多吗?

公开数据是累计安装 8,088 次,近一周安装 337 次,下载 2,696 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。

tidal-lock 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

  • 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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

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
tidal-lock

潮汐锁 · 本页

8,088—需要联网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
tidal-lock
version
1.0.0
description
>
author
J. DeVere Cooley
category
architecture-health
tags
metadata
openclaw
emoji
🌗
os
["darwin", "linux", "win32"]
cost
free
requires_api
false
tags

Tidal Lock

"In orbital mechanics, tidal locking occurs when a body's orbital period matches its rotational period — it can only face one direction. In software, tidal locking occurs when two components can only change together. They've lost the ability to face any other direction."

What It Does

Every software architecture diagram shows clean boxes with clean arrows. Reality is messier. Over time, components develop gravitational relationships — shared assumptions, implicit contracts, synchronized change requirements — that make them unable to evolve independently.

Tidal Lock detects these gravitational bonds before they become permanent.

The Physics of Code Coupling

In astrophysics, tidal locking is caused by gravitational gradient forces. In codebases, it's caused by coupling gradient forces:

Physical ForceCode EquivalentExample
Gravitational pullShared data structuresTwo services reading the same DB table
Tidal frictionSynchronized deploysService A fails if Service B isn't deployed first
Orbital resonanceMatching change frequencyEvery commit to module X requires a commit to module Y
Roche limitMerger threatComponents so coupled they should just be one module
Lagrange pointsStable mediatorsA third component that exists only to translate between two locked ones

The Five Degrees of Lock

Degree 0: Independent Orbit

Components are genuinely independent. Changing one has zero effect on the other. This is the ideal for components that shouldn't be related.

Degree 1: Gravitational Awareness

Components know about each other through well-defined interfaces. Changes to internals are isolated. Changes to the interface require coordination. This is healthy coupling.

Degree 2: Orbital Resonance

Components change at correlated frequencies. Not every change to A requires a change to B, but many do. The interface between them has become too wide or too leaky.

SYMPTOMS:
├── PRs frequently touch both components
├── "Don't forget to update the other side" appears in code reviews
├── Integration tests between them break more than unit tests
└── Deploy ordering matters sometimes

Degree 3: Synchronous Rotation

Components MUST change together. Every modification to A requires a corresponding modification to B. They share data structures, timing assumptions, or implicit contracts that make independent evolution impossible.

SYMPTOMS:
├── Cannot deploy A without deploying B
├── Changing A's internals breaks B's tests
├── Shared mutable state (database tables, global configs)
├── Copy-pasted type definitions kept "in sync" manually
└── Integration bugs outnumber all other bug types

Degree 4: Tidal Lock (Critical)

Components have lost their individual identity. They are one system pretending to be two. The boundary between them is a fiction maintained by the directory structure but violated by every data flow.

SYMPTOMS:
├── Circular dependencies (A imports B, B imports A)
├── Shared internal state (not just shared interfaces)
├── Cannot reason about one without fully understanding the other
├── "We should really merge these" has been said multiple times
└── New developers can't tell where one ends and the other begins

Degree 5: Roche Limit (Structural Failure)

The coupling is so severe that the components are actively tearing each other apart. Bugs in one appear as symptoms in the other. Changes cascade unpredictably. The architecture is in structural failure.

Detection Methodology

Phase 1: GRAVITATIONAL SURVEY
├── Map all explicit dependencies (imports, API calls, DB access)
├── Map all implicit dependencies (shared configs, env vars, timing)
├── Map change correlation (git co-change analysis)
├── Map deploy dependencies (must X deploy before/after Y?)
└── Map failure correlation (when X fails, does Y fail too?)

Phase 2: ORBITAL ANALYSIS
├── For each component pair, calculate:
│   ├── Change Coupling Score: How often do they change together?
│   ├── Interface Width: How much surface area connects them?
│   ├── Data Gravity: How much shared state exists?
│   ├── Temporal Coupling: Do they depend on ordering?
│   └── Failure Coupling: Do they fail together?
├── Composite score → Degree of Lock (0-5)
└── Trend analysis: Is coupling increasing or decreasing?

Phase 3: LOCK CARTOGRAPHY
├── Generate coupling map of the full system
├── Identify lock clusters (groups of mutually locked components)
├── Identify lock chains (A→B→C cascading coupling)
├── Calculate system-wide coupling health score
└── Flag components approaching the Roche limit

Phase 4: ORBITAL MECHANICS REPORT
├── For each locked pair, explain:
│   ├── What force is causing the lock
│   ├── How long the lock has existed (git history analysis)
│   ├── Whether the lock is increasing or stable
│   └── Decoupling strategy (if decoupling is warranted)
├── System-wide coupling topology
└── Priority ranking: which locks to break first

Decoupling Strategies by Force Type

Coupling ForceDecoupling Strategy
Shared DB tablesIntroduce owned views or dedicated read models per service
Shared data typesDefine contracts at the boundary, allow internal divergence
Deploy orderingAdd graceful degradation and version negotiation
Change correlationExtract the shared concern into its own module
Circular importsIntroduce an interface/protocol layer; invert one dependency
Shared mutable stateEvent-driven communication; each component owns its state
Timing assumptionsExplicit synchronization; remove implicit ordering

Output Format

╔══════════════════════════════════════════════════════════════╗
║                    TIDAL LOCK ANALYSIS                      ║
║            System Coupling Health: 64/100                   ║
╠══════════════════════════════════════════════════════════════╣
║                                                              ║
║  LOCK SEVERITY DISTRIBUTION:                                 ║
║  ├── Degree 0 (Independent): 12 pairs  ████████████  ✓      ║
║  ├── Degree 1 (Aware):        8 pairs  ████████      ✓      ║
║  ├── Degree 2 (Resonant):     5 pairs  █████         ⚠      ║
║  ├── Degree 3 (Synchronous):  2 pairs  ██            ⚠⚠     ║
║  ├── Degree 4 (Locked):       1 pair   █             🔴     ║
║  └── Degree 5 (Roche):        0 pairs                ✓      ║
║                                                              ║
║  CRITICAL LOCK:                                              ║
║  ┌─────────────────────────────────────────────────────┐     ║
║  │  UserService ←→ BillingService                      │     ║
║  │  Degree: 4 (Tidal Lock)                             │     ║
║  │  Force: Shared DB (users table), circular imports   │     ║
║  │  Duration: 14 months (increasing)                   │     ║
║  │  Co-change rate: 89% of commits touch both          │     ║
║  │  Strategy: Extract UserProfile as shared contract;  │     ║
║  │            give Billing its own customer table       │     ║
║  └─────────────────────────────────────────────────────┘     ║
║                                                              ║
║  LOCK CHAINS:                                                ║
║  Auth → Users → Billing → Invoicing (4-component chain)     ║
║  Any change to Auth cascades through 3 downstream services   ║
║                                                              ║
║  TREND: System coupling increased 12% in last quarter        ║
╚══════════════════════════════════════════════════════════════╝

When to Invoke

  • Before splitting a monolith into services (find out what's *actually* independent)
  • After microservice adoption (verify you didn't build a distributed monolith)
  • When deploys keep breaking unrelated services
  • When "simple changes" take weeks because of cascading modifications
  • During architecture reviews to assess modularity health

Why It Matters

The promise of modularity is independent evolution. When components become tidally locked, that promise is broken — you have the overhead of multiple components with the rigidity of a monolith. The worst of both worlds.

Tidal Lock shows you where independence has been surrendered, so you can decide: decouple them, or honestly merge them. Either is better than the fiction of modularity with the reality of lock.

Zero external dependencies. Zero API calls. Pure structural and historical analysis.

平台分布

OpenClaw

88.46%
按下载量换算2,385

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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