analyzing-experiment-session-replays

Analyze session replay patterns across experiment variants to understand user behavior differences.

What this skill does for you

Analyze session replay patterns across experiment variants to understand user behavior differences. Use when the user wants to see how users interact with different experiment variants, identify usability issues, compare behavior patterns between control and test groups, or get qualitative insights to complement quantitative experiment results. Also covers pairing the observed behavior with a linked survey when the user wants qualitative feedback beyond what recordings show.

Quoted from the skill description in the pinned source

Who made it

Publisherposthog

Repositoryskills

Installs368as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the analyzing-experiment-session-replays skill from posthog/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 835ceac8ec56af5ca9af647c815abc2fa6f9b330. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 835ceac8ec56af5ca9af647c815abc2fa6f9b330. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 835ceac8ec56af5ca9af647c815abc2fa6f9b330. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/posthog/skills
Pinned skill file: View source at revision
Revision: 835ceac8ec56af5ca9af647c815abc2fa6f9b330
Package hash: sha256:0c052fa9c8a75e0fbb9f33151e929fe0c0a549b7f94ba8becc0be148d2bdf303
Licence: MIT