posthog/ai-plugin

auditing-experiments-flags

Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations.

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/posthog/ai-plugin --skill auditing-experiments-flags

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

Auditing experiments and feature flags

This skill teaches you how to run configuration audits on experiments and feature flags. All checks use the experiment and feature flag read tools (experiment-get, experiment-list, feature-flag-get-definition, feature-flag-get-all) — no SQL queries are needed for Phase 1 checks.

Usage modes

Quick check (single entity)

When the user asks about a specific experiment or flag:

  1. Fetch the entity via experiment-get (experiment ID) or feature-flag-get-definition (numeric flag ID).
  2. Apply the relevant checks from experiment checks or flag checks.
  3. Report findings inline as markdown, grouped by severity (CRITICAL first, then WARNING, then INFO).
  4. Include entity links as [Experiment: name](/experiments/id) or [Flag: key](/feature_flags/id).

Scoped audit (one domain)

When the user asks to audit all experiments or all flags:

  1. Bulk-fetch via experiment-list or feature-flag-get-all.
  2. Run all checks for that domain against each entity.
  3. Group findings by severity, then by entity.
  4. Report as inline markdown.

Full audit (comprehensive)

When the user asks for a comprehensive audit of both experiments and flags:

  1. Fetch all experiments via experiment-list and all flags via feature-flag-get-all.
  2. Run all experiment checks and all flag checks.
  3. Apply recurring patterns to identify patterns across multiple findings.
  4. If there are more than 5 entities with findings, output as a notebook artifact via notebooks-create for easier navigation. Otherwise report inline.

Output format

For each finding, include:

  • Severity badge: 🔴 CRITICAL, 🟡 WARNING, or 🔵 INFO
  • Check name: Which check produced this finding
  • Entity link: Markdown link to the entity
  • What's wrong: One-sentence description
  • Action: What to do about it (see remediation actions)

Example:

🟡 WARNING — Flag integration · Experiment: checkout-redesign The linked feature flag is inactive (paused). Traffic is not being split. Action: Re-enable the flag or end the experiment.

Handling unavailable data

Some checks require activity logs (feature-flags-activity-retrieve for flags), which may not be available in every session. If activity log data is unavailable:

  • Skip checkActivityHistory (experiment check) entirely.
  • Skip the "toggle instability" and "never activated" sub-checks in flag lifecycle checks.
  • In your report, note which checks were skipped and why:
Skipped: Activity history checks (activity logs not available via current tools)

Partial failures

If a fetch call fails for some entities:

  • Continue with the entities you could fetch.
  • Report which entities could not be assessed and why.
  • Do not silently omit entities from the audit.

Reference files

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