analyzing-experiment-session-replays

analyzing-experiment-session-replays is a skill for Claude Code, Codex from PostHog/posthog-foss. It costs 81 tokens per session (2,149 once invoked), scanned A, original, MIT.

A guide for comparing session recordings from different variants of a PostHog experiment. A session recording is a replay of a user's product interaction.

In plain words
What is it for?
It helps inspect recordings for control and test groups, compare interaction patterns, and identify usability issues.
Why use it?
It adds qualitative context to experiment metrics by showing how users actually behave, where they struggle, and what differs between variants.

Skill for Claude CodeCodex

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

Good fit It helps inspect recordings for control and test groups, compare interaction patterns, and identify usability issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/posthog/posthog-foss/analyzing-experiment-session-replays
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 analyzing-experiment-session-replays
Clone the repo
git clone --depth 1 https://github.com/PostHog/posthog-foss

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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agentmods badge for analyzing-experiment-session-replays

README.md
[![agentmods](https://agentmods.dev/badge/skills/posthog/posthog-foss/analyzing-experiment-session-replays/github.svg)](https://agentmods.dev/skills/posthog/posthog-foss/analyzing-experiment-session-replays)
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<a href="https://agentmods.dev/skills/posthog/posthog-foss/analyzing-experiment-session-replays"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/analyzing-experiment-session-replays/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/posthog/posthog-foss/analyzing-experiment-session-replays"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/analyzing-experiment-session-replays.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,149 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 $0.00081 $0.02149
Opus 5 $0.00041 $0.01074
Sonnet 5 $0.00016 $0.00430
Haiku 4.5 $0.00008 $0.00215

Measured 9d ago against content hash d89348db4a0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

analyzing-experiment-session-replays 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 9d 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/experiments/skills/analyzing-experiment-session-replays/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing experiment session replays

This skill guides you through analyzing session recordings for experiment variants to understand behavioral differences between control and test groups.

When to use this skill

Use this skill when:

  • The user asks to analyze session replays for an experiment
  • The user wants to understand how users behave differently across experiment variants
  • The user asks to compare user behavior between control and test variants
  • The user wants qualitative insights to complement experiment metrics
  • The user asks questions like "How are users behaving in my experiment?" or "Show me session replays for variant X"

Prerequisites

Before analyzing session replays:

  1. The experiment must be launched (not in draft state)
  2. Session replay must be enabled for the project
  3. Users must have been exposed to the experiment variants
  4. The experiment must have a start date

Workflow

1. Get experiment details and feature flag variants

First, retrieve the experiment information and the feature flag variants (source of truth).

Step 1a: Get experiment metadata

You can either:

  • Option A: Use the experiment-get tool if you already have the experiment ID from context
  • Option B: Query the experiments table via HogQL:
SELECT
    e.id,
    e.name,
    f.key AS feature_flag_key,
    e.start_date,
    e.end_date
FROM system.experiments e
JOIN system.feature_flags f ON f.id = e.feature_flag_id
WHERE e.id = <experiment_id>

From the experiment data, extract:

  • feature_flag_key: The feature flag controlling the experiment
  • start_date and end_date: The experiment's time range

Step 1b: Get variants from the feature flag

IMPORTANT: Always get variants from the feature flag, NOT from experiment.parameters.feature_flag_variants. The parameters can be out of sync or deprecated. The feature flag is the source of truth.

Query the feature flag to get the current variants:

SELECT filters.multivariate.variants AS variants
FROM system.feature_flags
WHERE key = '<feature_flag_key>'

Read the full file on GitHub · 222 lines

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. 9d ago First seen · 222 lines · 81 tokens per session scan A d89348db4a0f

Subscribe to this mod's changes

analyzing-experiment-session-replays is a skill published in the GitHub repository PostHog/posthog-foss (715 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 2,149 once invoked, about $0.0004 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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