Edge Copy setup link
Skill evidence / exploring-llm-traces
Skill profile

exploring-llm-traces

Debug and inspect LLM/AI agent traces using PostHog's MCP tools.

What this skill does for you

Debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace or session URL (e.g. /ai-observability/traces/<id> or /ai-observability/sessions/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs. Also use when raw SQL/HogQL against `events.properties.$ai_input` / `$ai_output_choices` returns empty : message content lives only on the dedicated `posthog.ai_events` table.

Quoted from the skill description in the pinned source

Who made it

Publisherposthog
Repositoryskills
Installs345as 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 exploring-llm-traces 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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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
sha256:89e4e524a4dec451dc4273c0918d1a72e8af3419c022f5645c23b65347ac62c9
Licence
MIT