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Agent Skill · 研究检索

finding-seams(寻找接缝)

finding-seams 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

finding-seams 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 65,745。

总安装 275周安装 11GitHub Stars 643下载 89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
unknown

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:finding-seams(寻找接缝)
来源仓库:https://github.com/citypaul/.dotfiles
仓库路径:skills/finding-seams
安装命令:
npx skills add https://github.com/citypaul/.dotfiles --skill finding-seams
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/citypaul/.dotfiles --skill finding-seams

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。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于关键词搜索、任务场景匹配或来源线索筛选等研究检索场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

finding-seams 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/finding-seams

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/citypaul/.dotfiles --skill finding-seams;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

finding-seams 怎么安装?

在终端执行 npx skills add https://github.com/citypaul/.dotfiles --skill finding-seams。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

finding-seams 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

finding-seams 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

finding-seams 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

finding-seams 用的人多吗?

公开数据是累计安装 275 次,近一周安装 11 次,下载 89 次,GitHub 643 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。

finding-seams 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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

  • 需要明确授权才能用到公司项目里的场景。
  • 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
finding-seams

寻找接缝 · 本页

275643权限未标注未明确通过

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
finding-seams
description
Use when existing code has untestable dependencies that prevent writing tests -- direct construction of collaborators, static or global function calls, tight coupling to external systems, or singleton access patterns. Specifically for identifying substitution points (seams) that make legacy or tightly-coupled code testable without editing at the call site. Do NOT use for greenfield TDD (see tdd), general test writing patterns (see testing), or refactoring already-tested code (see refactoring).

Finding Seams

For writing tests that document existing behavior once you have seams, load the characterisation-tests skill. For test-driving new behavior, load the tdd skill. For general test patterns, load the testing skill. For refactoring after tests are in place, load the refactoring skill.

Deep-dive resources are in the resources/ directory. Load them on demand:

ResourceLoad when...
seam-types.mdNeed detailed FP-first examples of each seam type in TypeScript
creating-seams.mdNeed to introduce a seam where none exists, with before/after examples
oop-patterns.mdEncountering legacy class-based code -- object seams, subclass and override, constructor injection

Core Concept

A seam is a place where you can alter behavior in your program without editing in that place.

Every seam has an enabling point -- the place where you choose which behavior to activate. The source code at the seam stays identical in production and test; only the enabling point differs.

*-- Michael Feathers, Working Effectively with Legacy Code (2004)*

Connection to hexagonal architecture: Ports are designed-in seams. A port defines a contract (the seam), and the composition root chooses which adapter to wire in (the enabling point). If your code already uses hex arch, you have seams everywhere -- this skill is for code that lacks them. See the hexagonal-architecture skill.

When to Use

  • Cannot call a function in a test harness because it reaches for external systems directly
  • A function hard-codes a dependency instead of accepting it as a parameter
  • Global or static dependencies make isolation impossible
  • Singleton access patterns couple code to shared mutable state
  • React components fetch data internally instead of receiving it via props/context

Quick Reference: Seam Types for TypeScript/JS

Seam TypeMechanismEnabling PointPrefer When
Function ParameterPass dependency as argumentThe argument listDefault choice. Functional code, pure functions, explicit contracts
ConfigurationEnv vars, feature flags, config objectsThe config sourceInfrastructure-level concerns
Modulevi.mock() / jest.mock() replaces importsTest file mock configurationLast resort. Quick scaffolding only -- bypasses type safety, implicit, requires cleanup
ObjectSubclass and override, or DI via constructorWhere the object is createdLegacy class-based code (see resources/oop-patterns.md)

How to Find Seams

Look for these in the code you need to test:

  1. Function parameters -- any parameter that could accept a different implementation
  2. Default parameter values -- (resolve = fetchFromApi) is already a seam
  3. Module imports -- anything imported can potentially be mocked (but prefer parameter injection)
  4. Configuration -- env vars, config files, feature flags
  5. React props and context -- components receive dependencies as props; context providers can be swapped in tests
  6. Hard-coded new or direct calls -- every direct dependency is a place where a seam *could* exist but doesn't yet

The Progression

Ordered from preferred to last-resort. Start with the most explicit option that works:

  1. Function parameter injection -- pass dependencies as arguments with production defaults (explicit, type-safe, no framework needed)
  2. Higher-order functions -- return a configured function from a factory (FP composition)
  3. Configuration injection -- pass config/env as parameter instead of reading globally
  4. Module mocking -- vi.mock() to replace imports (scaffolding only -- migrate away as you gain coverage)
  5. Subclass and override -- for legacy class-based code only (see resources/oop-patterns.md)

Steps 1-3 are permanent design improvements. Steps 4-5 are temporary scaffolding.

Quick Example

Before you can characterise processOrder, you need a seam for its hidden dependency:

// BEFORE -- no seam, can't test without hitting real API
const processOrder = (order: Order): OrderResult => {
  const tax = fetchTaxRate(order.region);
  return { ...order, total: order.subtotal * (1 + tax) };
};

// AFTER -- function parameter seam with production default
type TaxResolver = (region: string) => number;

const processOrder = (
  order: Order,
  resolveTax: TaxResolver = fetchTaxRate,
): OrderResult => {
  const tax = resolveTax(order.region);
  return { ...order, total: order.subtotal * (1 + tax) };
};

// Test -- swap in a fake at the enabling point (the argument list)
const result = processOrder(testOrder, () => 0.08);

Production code is unchanged at every call site (the default kicks in). Tests pass a fake. The seam is the parameter; the enabling point is the argument list.

Code Smell → Technique

You see this in the codeTechniqueExample
new Foo() inside a functionParameterize functionPass the dependency as a parameter with a default
process.env.X read directlyWrap global call(getEnv = () => process.env.X)
import { thing } from './heavy-lib' used directlyExtract type + parameterizeDefine a narrow type, pass as parameter
Multiple hard-coded deps in one functionHigher-order function factorycreateFn(deps) => (args) => result
SingletonClass.getInstance()Wrap global call(getSingleton = () => SingletonClass.getInstance())
Date.now() / Math.random()Wrap global call(now = Date.now) as parameter
Class constructs its own collaboratorsParameterize constructor (OOP)Accept via constructor, see oop-patterns.md
Can't change function signature yetModule indirection (scaffolding)Thin wrapper module + vi.mock(), migrate later

Common Mistakes

MistakeFix
Using vi.mock() as permanent architectureModule mocks bypass type safety and create implicit coupling. Migrate to parameter injection as soon as you have tests.
Leading with class-based patterns (subclass, DI containers)In TypeScript FP, function parameters provide natural seams. Classes and DI containers are rarely needed.
Mocking everything instead of finding real seamsMock only at the seam boundary; test real logic
Creating seams that leak implementation detailsSeam interfaces should describe *what*, not *how*
Forgetting the enabling pointEvery seam needs a place to choose behavior; if there's no enabling point, it's not a seam
Breaking too many dependencies at onceBreak one dependency at a time; get a test passing; then break the next

平台分布

Codex

33.19%
按下载量换算30

Claude

28.04%
按下载量换算25

Cursor

21.13%
按下载量换算19

Gemini CLI

9.31%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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