configuring-experiment-rollout

configuring-experiment-rollout is a skill for Claude Code, Codex from PostHog/ai-plugin. It costs 162 tokens per session (2,468 once invoked), scanned A, original, no licence file.

A workflow for configuring how a PostHog experiment is shown to users. It sets the split between variants and the share of all users allowed into the experiment.

In plain words
What is it for?
Setting A/B or A/B/C allocations, choosing an overall rollout percentage, and clarifying what a requested percentage means.
Why use it?
It separates two percentages that are easy to confuse: the variant split and the overall percentage of users entering the experiment.

Skill for Claude CodeCodex

Part of the posthog plugin — 51 skills, 3 commands, 1 agent, 2 hooks, 1 MCP server shipped together

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.

agentmods
npx agentmods add skills/posthog/ai-plugin/configuring-experiment-rollout
Any agent
npx skills add PostHog/ai-plugin --skill configuring-experiment-rollout
Clone the repo
git clone --depth 1 https://github.com/PostHog/ai-plugin

Made for: Claude Code, Codex.

Or install posthog, the plugin that ships this one along with the rest of its 51 skills, 3 commands, 1 agent, 2 hooks, 1 MCP server.

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 configuring-experiment-rollout

README.md
[![agentmods](https://agentmods.dev/badge/skills/posthog/ai-plugin/configuring-experiment-rollout.svg)](https://agentmods.dev/skills/posthog/ai-plugin/configuring-experiment-rollout)
Your own site
<a href="https://agentmods.dev/skills/posthog/ai-plugin/configuring-experiment-rollout"><img src="https://agentmods.dev/badge/skills/posthog/ai-plugin/configuring-experiment-rollout.svg" alt="Measured on agentmods" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,468 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00162 $0.02468
Opus 5 $0.00081 $0.01234
Sonnet 5 $0.00032 $0.00494
Haiku 4.5 $0.00016 $0.00247

Measured 4d ago against content hash d5ce58ca6469, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

configuring-experiment-rollout 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.

skills/configuring-experiment-rollout/SKILL.md · 207 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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 First seen · 207 lines · 162 tokens per session scan A d5ce58ca6469

Subscribe to this mod's changes

configuring-experiment-rollout is a skill published in the GitHub repository PostHog/ai-plugin (80 stars, last pushed yesterday), with no licence file. It adds 162 tokens to every session and 2,468 once invoked, about $0.0008 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 2026-08-30.

Related

Other skills, from other repositories

domscribe

Work with Domscribe — the pixel-to-code bridge. Use when setting up, initializing, or configuring Domscribe for a project, OR when editing or modifying UI components (React, Vue, Next.js, Nuxt), implementing features from captured UI annotations, querying runtime context for source locations, exploring component…

patchorbit/domscribe · 94 tokens

proctor

Honest-completion ruleset for changes that touch tests or the code they cover. Use before deleting, skipping, renaming, or rewriting a test, before weakening an assertion, and before hardcoding or stubbing an implementation to make a test pass. Also covers what to do when a test looks genuinely wrong.

catfish-1234/proctor · 66 tokens

wavedash

Use when building, integrating, testing, uploading, publishing, or preparing a browser game for Wavedash, including CLI setup, Wavedash SDK features, multiplayer, achievements, leaderboards, cloud saves, player identity, user-generated content, store metadata, monetization, and content guidelines.

wvdsh/ai · 63 tokens

motherduck-build-cfa-app

Design a MotherDuck-backed customer-facing analytics app. Use for embedded analytics, multi-tenant SaaS reporting, or product analytics for external users -- whenever the decision depends on per-customer isolation, backend routing, service-account boundaries, read scaling, or Hypertenancy-style patterns.

motherduckdb/agent-skills · 63 tokens

motherduck-build-dashboard

Build a live MotherDuck dashboard as a Dive. Use when composing one shareable KPI, trend, and breakdown story over existing MotherDuck data, especially when the result should stay a saved workspace artifact rather than a full application.

motherduckdb/agent-skills · 50 tokens

motherduck-build-data-pipeline

Design an end-to-end MotherDuck data pipeline. Use for ETL/ELT workflows -- choosing raw, staging, and analytics boundaries, bulk ingestion paths, transformation sequencing, dlt/dbt integration, publication targets, or whether DuckLake is actually required.

motherduckdb/agent-skills · 59 tokens