auditing-experiments-flags

auditing-experiments-flags is a skill for Claude Code, Codex from PostHog/posthog-foss. It costs 57 tokens per session (846 once invoked), scanned A, original, MIT.

Guidance for choosing the correct unit shown on a PostHog chart axis. It keeps values numeric while displaying units such as seconds, minutes, hours, or percentages.

In plain words
What is it for?
Formatting axes for trend charts and SQL-based insights without breaking calculations, breakdowns, or alerts.
Why use it?
It prevents queries from changing raw values only to make chart labels look correct.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Formatting axes for trend charts and SQL-based insights without breaking calculations, breakdowns, or alerts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/posthog/posthog-foss/auditing-experiments-flags
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PostHog/posthog-foss --skill auditing-experiments-flags
Clone the repo
git clone --depth 1 https://github.com/PostHog/posthog-foss

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for auditing-experiments-flags

README.md
[![agentmods](https://agentmods.dev/badge/skills/posthog/posthog-foss/auditing-experiments-flags/github.svg)](https://agentmods.dev/skills/posthog/posthog-foss/auditing-experiments-flags)
Your own site
<a href="https://agentmods.dev/skills/posthog/posthog-foss/auditing-experiments-flags"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/auditing-experiments-flags/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for auditing-experiments-flags

Your own site · 80×15
<a href="https://agentmods.dev/skills/posthog/posthog-foss/auditing-experiments-flags"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/auditing-experiments-flags.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.00846
Opus 5 $0.00028 $0.00423
Sonnet 5 $0.00011 $0.00169
Haiku 4.5 $0.00006 $0.00085

Measured 4d ago against content hash b4dac329840e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

auditing-experiments-flags scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

products/posthog_ai/skills/auditing-experiments-flags/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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, write them to a notebook for easier navigation. Otherwise report inline. Create the notebook from the project's own notebook tools. Run search notebooks?- to load them and read the titles.

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)

Read the full file on GitHub · 81 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago Changed b4dac329840e
  2. 9d ago First seen · 81 lines · 57 tokens per session scan A 3388f5728216

Subscribe to this mod's changes

auditing-experiments-flags is a skill published in the GitHub repository PostHog/posthog-foss (715 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 846 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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