auditing-experiments-flags
Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.
- License 许可
- MIT
- 最近更新
- 2026-11-12
- Stars
- ★ 1
- Forks
- 1
01 前言 Front Matter
- name
- auditing-experiments-flags
- description
- Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.
02 资源文件 5
- 参考文档references/experiment-checks.md8.8 KB
- 参考文档references/finding-taxonomy.md2.6 KB
- 参考文档references/flag-checks.md5.4 KB
- 参考文档references/remediation-actions.md5.2 KB
- 参考文档references/synthesis-patterns.md1.5 KB
03 SKILL.md 正文
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:
- Fetch the entity via
experiment-get(experiment ID) orfeature-flag-get-definition(numeric flag ID). - Apply the relevant checks from experiment checks or flag checks.
- Report findings inline as markdown, grouped by severity (CRITICAL first, then WARNING, then INFO).
- 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:
- Bulk-fetch via
experiment-listorfeature-flag-get-all. - Run all checks for that domain against each entity.
- Group findings by severity, then by entity.
- Report as inline markdown.
Full audit (comprehensive)
When the user asks for a comprehensive audit of both experiments and flags:
- Fetch all experiments via
experiment-listand all flags viafeature-flag-get-all. - Run all experiment checks and all flag checks.
- Apply recurring patterns to identify patterns across multiple findings.
- If there are more than 5 entities with findings, output as a notebook artifact via
notebooks-createfor 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
- Experiment checks — experiment configuration checks
- Flag checks — feature flag checks
- Finding types — severity and category definitions
- Recurring patterns — patterns across multiple findings
- Remediation actions — what to do about each finding
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