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cleaning-up-stale-feature-flags清理过时的功能标志

Agent Skill

cleaning-up-stale-feature-flags 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。

总安装

1,048

周安装

42

GitHub Stars

31

下载量

339
CodexClaudeCursorGemini CLI

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

unknown

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:cleaning-up-stale-feature-flags(清理过时的功能标志)
来源仓库:https://github.com/posthog/skills
仓库路径:skills/cleaning-up-stale-feature-flags
安装命令:
npx skills add https://github.com/posthog/skills --skill cleaning-up-stale-feature-flags
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/posthog/skills --skill cleaning-up-stale-feature-flags

简介

cleaning-up-stale-feature-flags 识别并移除无用的功能标志,降低技术债务与维护成本。

  • 适用于 Feature Flag 泛滥的系统、上线后长期未关闭的 flag 清理场景。
  • 基于使用频率与 rollout 状态判断 stale 标志,提供安全移除建议清单。
  • 使用前请确认 flag 移除不影响线上功能,并在低峰期执行变更操作。
  • 建议保留关键 flag 至少一个发布周期后再评估是否真正废弃。

SKILL.md

Cleaning up stale feature flags

This skill guides you through finding feature flags that are no longer serving a purpose and safely removing them.

When to use this skill

  • The user asks to clean up, audit, or review their feature flags
  • The user wants to find flags that are stale, unused, or fully rolled out
  • The user asks "which feature flags can I remove?" or similar
  • The user wants to reduce tech debt from old feature flags

What makes a flag stale

A feature flag is considered stale when it's no longer doing useful work. PostHog tracks this with two signals:

  1. Usage-based staleness: The flag has last_called_at data, but hasn't been evaluated in 30+ days. This is the strongest signal — the SDKs are no longer checking this flag.
  2. Configuration-based staleness: The flag has no usage data (last_called_at is null), is 30+ days old, and is 100% rolled out (boolean at 100% with no property filters, or a multivariate flag with one variant at 100%). A fully rolled out flag with no conditions is equivalent to a hardcoded value — it can be replaced by removing the flag check from code.

Disabled flags (active: false) are not considered stale — they were intentionally turned off and may be kept for reactivation.

Workflow

1. List stale flags

Call posthog:feature-flag-get-all with active: "STALE". This returns all stale flags in a single request — PostHog handles the staleness detection server-side using the criteria described above.

2. Assess each candidate

For each stale flag, gather context before recommending action:

Check if it's tied to an experiment:

The posthog:feature-flag-get-definition tool returns an experiment_set field. If non-empty, the flag is used by an experiment — check the experiment status before touching it.

Check if other flags depend on it:

Feature flags can have dependencies (flag B only evaluates when flag A is true). The flag definition includes dependency information in its filters. Look for flag_key references in other flags' filter groups.

Check when it was last modified:

A flag last updated years ago with no recent calls is a stronger removal candidate than one updated last month with no calls (it might be newly deployed and waiting for a release).

Summarize for the user:

For each stale flag, present:

  • Flag key and description
  • Why it's considered stale (no calls in N days, or fully rolled out for N days)
  • Whether it's tied to experiments
  • When it was created and last modified
  • A recommended action (clean up from code and disable, or keep with explanation)

3. Generate code cleanup instructions

Generate a cleanup prompt the user can run in their code editor or coding agent. The cleanup instructions must be tailored to each flag's rollout state, because the rollout state determines which code path to keep. This list also serves as the approval checklist — if the user says their code is already cleaned up, they review it and confirm which flags to disable.

Classify each flag into one of three rollout states based on its definition:

  • fully_rolled_out: A boolean flag with a release condition at 100% rollout and no property filters, or a multivariate flag where one variant is at 100%. Record which variant was active (for multivariate flags).
  • not_rolled_out: All release conditions are at 0%, or the flag has no release conditions at all.
  • partial: Everything else — the flag had some targeting but wasn't fully rolled out or fully off.

Then generate instructions following this structure:

For fully rolled out boolean flags — remove the flag check but keep the enabled code path:

Search for: isFeatureEnabled, useFeatureFlag, getFeatureFlag, posthog.isFeatureEnabled, posthog.getFeatureFlag

For flag "example-flag":
- Remove the if-check, keep the body
- If there is an else branch, remove the else branch entirely

For fully rolled out multivariate flags — keep only the winning variant's code:

For flag "example-flag" (keep variant: "winning-variant"):
- For if/else chains: keep only the branch matching "winning-variant", remove the flag check
- For switch statements: keep only the winning variant's case, remove the switch

For not-rolled-out flags — remove the entire flag check AND the enabled code path:

For flag "example-flag":
- Remove the if-check AND its body (the feature was never active)
- If there is an else branch, keep only the else body

For partial rollout flags — flag these for manual review:

For flag "example-flag":
- This flag had a partial rollout — check the flag's intent to determine which code path to keep
- Then remove the flag check

End the instructions with: "After cleanup, remove any dead code branches and unused imports."

Present the full cleanup prompt in a copyable format so the user can paste it directly into Claude Code, Cursor, Copilot, or any other AI code editor.

4. Disable flags after code changes are deployed

Never disable flags before the code changes are deployed. Disabling a fully rolled out flag while code still checks it will cause that code path to stop working — a production regression.

Never disable flags without explicit user approval. Always present the list and recommendations first, then ask which flags to act on.

Present the user with both options and their tradeoffs:

  • Disable (active: false) via posthog:update-feature-flag: The flag stops being evaluated but the configuration is preserved. If something was missed in the code cleanup, re-enabling is instant. Recommended as the default.
  • Delete via posthog:delete-feature-flag: A soft-delete — the flag is marked as deleted but not physically removed. Keeps the flag list clean, but re-enabling requires recreating the flag. Better for flags the user is confident they'll never need again.

Once the user has chosen and confirms their code changes are deployed, apply the chosen action one flag at a time. Confirm each action so it's easy to stop if something goes wrong.

Example interaction

User: "Can you help me clean up our stale feature flags?"

Agent steps:
- Call posthog:feature-flag-get-all with active: "STALE" to get all stale flags in one request
- For each stale flag, call posthog:feature-flag-get-definition to check experiment_set and dependencies
- Present findings:

   "I found 7 stale feature flags in your project:

   | Flag | Last called | Reason | Recommendation |
   |------|-------------|--------|----------------|
   | old-checkout-flow | 45 days ago | No evaluations in 45 days | Clean up and disable |
   | beta-dashboard-v2 | Never | 100% rolled out, created 3 months ago | Clean up and disable |
   | holiday-promo-2024 | 90 days ago | No evaluations in 90 days | Clean up and disable |
   | new-pricing-page | 60 days ago | No evaluations in 60 days, tied to experiment #42 | Check experiment first |
   ...

   Want me to generate cleanup instructions for any of these? I'd recommend
   starting with old-checkout-flow and beta-dashboard-v2 since they have no dependencies."

- User confirms: "Yes, do old-checkout-flow and beta-dashboard-v2"
- Classify rollout states from the flag definitions:
   - old-checkout-flow: fully_rolled_out (boolean, 100% rollout, no conditions)
   - beta-dashboard-v2: fully_rolled_out (boolean, 100% rollout, no conditions)
- Generate and present cleanup prompt:

   "Here's a cleanup prompt you can paste into your code editor:

   ---
   Find and remove all references to these feature flags in the codebase.
   For each flag, search for all usages: isFeatureEnabled, useFeatureFlag,
   getFeatureFlag, posthog.isFeatureEnabled, posthog.getFeatureFlag, etc.

   ## Flags that were rolled out to 100%
   These flags were fully rolled out. Remove the flag check but KEEP the enabled code path.

   Boolean flags (remove the if-check, keep the body):
   - old-checkout-flow
   - beta-dashboard-v2

   If there is an else branch, remove the else branch entirely.
   After cleanup, remove any dead code branches and unused imports.
   ---

   Once you've cleaned up your code and deployed, let me know.
   Would you like to disable or delete these flags?
   - Disable (recommended): keeps the config, re-enabling is instant
   - Delete: removes from the list, but you'd need to recreate if needed"

- User confirms: "Disable them, code is deployed"
- Disable each flag using posthog:update-feature-flag (active: false)
- Confirm: "Both flags are now disabled in PostHog."

Important notes

  • Code first, then disable. Disabling a flag while code still references it causes the enabled code path to silently stop working. Always clean up code and deploy before disabling.
  • Prefer disable over delete. Disabling is instantly reversible. Deletion is not — re-enabling requires recreating the flag. Always present both options with tradeoffs and let the user choose.
  • Always confirm before acting. This skill involves disabling flags, which can affect production behavior. Never disable without explicit user approval.
  • Disabled flags are not stale. Don't recommend disabling flags that are already intentionally disabled — they may be kept for emergency reactivation.
  • Experiment flags need extra care. If a flag is tied to an active or recently completed experiment, the user likely wants to keep it until they've analyzed results.
  • Seasonal flags may return. Flags like "black-friday-sale" might look stale but are intentionally reused. Ask the user before removing these.
  • Code cleanup is the real win. Removing the flag from PostHog is the easy part. The value comes from removing the dead code paths.

Related tools

  • posthog:feature-flag-get-all: List and search feature flags (supports active: "STALE" filter)
  • posthog:feature-flag-get-definition: Get full flag details including experiment associations
  • posthog:feature-flags-status-retrieve: Get the status and reason for a single flag
  • posthog:update-feature-flag: Disable a flag by setting active: false
  • posthog:delete-feature-flag: Soft-delete a flag

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.96%
按下载量换算119

Claude

28.9%
按下载量换算98

Cursor

18.24%
按下载量换算62

Gemini CLI

10.06%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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