Token导航 LogoToken导航

Agent Skill · 研究检索

launchdarkly-flag-cleanup(启动暗标志清理)

launchdarkly-flag-cleanup 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。

launchdarkly-flag-cleanup 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,权限为调用外部服务;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 13,691。

总安装 9,168周安装 382GitHub Stars 7下载 3,056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:launchdarkly-flag-cleanup(启动暗标志清理)
来源仓库:https://github.com/launchdarkly/agent-skills
仓库路径:skills/launchdarkly-flag-cleanup
安装命令:
npx skills add https://github.com/launchdarkly/agent-skills --skill launchdarkly-flag-cleanup
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/launchdarkly/agent-skills --skill launchdarkly-flag-cleanup

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。

launchdarkly-flag-cleanup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词或任务场景快速定位候选结果时使用。适用于功能标志清理、配置优化和资源管理等相关场景。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/launchdarkly-flag-cleanup

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/launchdarkly/agent-skills --skill launchdarkly…;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

    它需要调用外部服务,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

launchdarkly-flag-cleanup 怎么安装?

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

launchdarkly-flag-cleanup 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。

launchdarkly-flag-cleanup 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

launchdarkly-flag-cleanup 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。

launchdarkly-flag-cleanup 用的人多吗?

公开数据是累计安装 9,168 次,近一周安装 382 次,下载 3,056 次,GitHub 7 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。

launchdarkly-flag-cleanup 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
launchdarkly-flag-cleanup

启动暗标志清理 · 本页

9,1687调用外部服务未明确通过

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

LaunchDarkly Flag Cleanup

You're using a skill that will guide you through safely removing a feature flag from a codebase while preserving production behavior. Your job is to explore the codebase to understand how the flag is used, query LaunchDarkly to determine the correct forward value, remove the flag code cleanly, and verify the result.

If you haven't already identified which flag to clean up, use the flag discovery skill first to audit the landscape and find candidates.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Required MCP tools:

  • check-removal-readiness: detailed safety check (orchestrates flag config, cross-env status, dependencies, code references, and expiring targets in parallel)
  • get-flag: fetch flag configuration for a specific environment

Optional MCP tools:

  • archive-flag: archive the flag in LaunchDarkly after code removal
  • delete-flag: permanently delete the flag (irreversible, prefer archive)

Core Principles

  1. Safety First: Always preserve current production behavior.
  2. LaunchDarkly as Source of Truth: Never guess the forward value. Query the actual configuration.
  3. Follow Conventions: Respect existing code style and structure.
  4. Minimal Change: Only remove flag-related code. No unrelated refactors.

Workflow

Step 1: Explore the Codebase

Before touching LaunchDarkly or removing code, understand how this flag is used in the codebase.

  1. Find all references to the flag key. Search for the flag key string (e.g., new-checkout-flow) across the codebase. Check for:

- Direct SDK evaluation calls (variation(), boolVariation(), useFlags(), etc.) - Constants/enums that reference the key - Wrapper/service patterns that abstract the SDK - Configuration files, tests, and documentation - See SDK Patterns for the full list of patterns by language

  1. Understand the branching. For each reference, identify:

- What code runs when the flag is true (or variation A)? - What code runs when the flag is false (or variation B)? - Are there side effects, early returns, or nested conditions?

  1. Note the scope. How many files, components, or modules does this flag touch? A flag used in one if block is simpler than one threaded through multiple layers.

Step 2: Run the Removal Readiness Check

Use check-removal-readiness to get a detailed safety assessment. This single tool call orchestrates multiple checks in parallel:

  • Flag configuration and targeting state
  • Cross-environment status
  • Dependent flags (prerequisites)
  • Expiring targets
  • Code reference statistics

The tool returns a readiness verdict:

safe: No blockers or warnings. Proceed with removal.

caution: No hard blockers but warnings exist (e.g., code references in other repos, expiring targets scheduled, flag marked as permanent). Present warnings and let the user decide.

blocked: Hard blockers prevent safe removal (e.g., dependent flags, actively receiving requests, targeting is on with active rules). Present blockers: the user must resolve them first.

Step 3: Determine the Forward Value

Use get-flag to fetch the flag configuration in each critical environment. The forward value is the variation that replaces the flag in code.

ScenarioForward Value
All critical envs ON, same fallthrough, no rules/targetsUse fallthrough.variation
All critical envs OFF, same offVariationUse offVariation
Critical envs differ in ON/OFF stateNOT SAFE: stop and inform the user
Critical envs serve different variationsNOT SAFE: stop and inform the user

Step 4: Present the Cleanup Plan

Before modifying any code, present a summary to the user and wait for confirmation:

  1. The forward value — which variation will be hardcoded and why (based on the flag's current state).
  2. All code references found — file paths and line numbers from Step 1.
  3. Planned changes — for each reference, describe what will be removed and what will be kept.
  4. Readiness verdict — the result from check-removal-readiness (safe, caution, or blocked) and any warnings.
  5. LaunchDarkly action — confirm the flag will be archived after code changes are complete.

Do not proceed with code changes until the user explicitly confirms.

Step 5: Remove the Flag from Code

Now execute the removal using what you learned in Step 1.

  1. Replace flag evaluations with the forward value.

- Preserve the code branch matching the forward value - Remove the dead branch entirely - If the flag value was assigned to a variable, replace the variable with the literal value or inline it

  1. Clean up dead code.

- Remove imports, constants, and type definitions that only existed for the flag - Remove functions, components, or files that only existed for the dead branch - Check for orphaned exports, hooks, helpers, styles, and test files - If the repo uses an unused-export tool (Knip, ts-prune, lint rules), run it and remove any flag-related orphans

  1. Don't over-clean.

- Only remove code directly related to the flag - Don't refactor, optimize, or "improve" surrounding code - Don't change formatting or style of untouched code

Example transformation (boolean flag, forward value = true):

// Before
const showNewCheckout = await ldClient.variation('new-checkout-flow', user, false);
if (showNewCheckout) {
  return renderNewCheckout();
} else {
  return renderOldCheckout();
}

// After
return renderNewCheckout();

Step 6: Create Pull Request

Use the template in references/pr-template.md for a structured PR description. The PR should clearly communicate:

  • What flag was removed and why
  • What the forward value is and why it's correct
  • The readiness assessment results (from check-removal-readiness)
  • What code was removed and what behavior is preserved
  • Whether other repos still reference this flag

Step 7: Verify

Before considering the job done:

  1. Code compiles and lints. Run the project's build and lint steps.
  2. Tests pass. If the flag was used in tests, the tests should be updated to reflect the hardcoded behavior.
  3. No remaining references. Search the codebase one more time for the flag key to make sure nothing was missed.
  4. PR is complete. The description covers the readiness assessment, forward value rationale, and any cross-repo coordination needed.

Edge Cases

SituationAction
Flag not found in LaunchDarklyInform user, check for typos in the key
Flag already archivedAsk if code cleanup is still needed (flag is gone from LD but code may still reference it)
Multiple SDK patterns in codebaseSearch all patterns: variation(), boolVariation(), variationDetail(), allFlags(), useFlags(), plus any wrappers
Dynamic flag keys (flag-${id})Warn that automated removal may be incomplete: manual review required
Different default values in code vs LDFlag as inconsistency in the PR description
Orphaned exports/files remain after removalRun unused-export checks and remove dead files

What NOT to Do

  • Don't change code unrelated to flag cleanup.
  • Don't refactor or optimize beyond flag removal.
  • Don't remove flags still being actively rolled out.
  • Don't guess the forward value: always query LaunchDarkly.

After Cleanup

Once the PR is merged and deployed:

  1. Archive the flag in LaunchDarkly using archive-flag. Archival is reversible; deletion is not. Always archive first.
  2. Notify other teams if check-removal-readiness reported code references in other repositories.
  3. If the flag had targeting changes pending, they can be ignored: the flag is being removed.

References

平台分布

Codex

36.7%
按下载量换算1,122

Claude

28.64%
按下载量换算875

Cursor

18.23%
按下载量换算557

Gemini CLI

8.87%
按下载量换算271

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

继续浏览同类 Skills