AI导哈

测试与安全

launchdarkly-flag-discovery

launchdarkly/ai-tooling

Audit your LaunchDarkly feature flags to understand the landscape, find stale or launched flags, and assess removal readiness. Use when the user asks about flag debt, stale flags, cleanup candidates, flag health, or wants to understand their flag inventory.

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安装命令

npx skills add https://github.com/launchdarkly/ai-tooling --skill launchdarkly-flag-discovery

SKILL.md

LaunchDarkly Flag Discovery

You're using a skill that will guide you through auditing and understanding the feature flag landscape in a LaunchDarkly project. Your job is to explore the project, assess the health of its flags, identify what needs attention, and provide actionable recommendations.

Prerequisites

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

Required MCP tools:

  • list-flags: search and browse flags with filtering by state, type, tags
  • get-flag: get full configuration for a single flag in a specific environment
  • get-flag-status-across-envs: check a flag's lifecycle status across all environments

Optional MCP tools (enhance depth):

  • find-stale-flags: find flags that are candidates for cleanup, sorted by staleness
  • get-flag-health: get combined health view for a single flag (merges status + config)
  • check-removal-readiness: detailed safety check for a specific flag

Workflow

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