Edge Copy setup link
Skill evidence / signals
Skill profile

signals

How to query the document_embeddings table for raw signal data using HogQL.

What this skill does for you

How to query the document_embeddings table for raw signal data using HogQL. Use when you need to perform semantic search over signals, fetch every signal that contributed to a specific report, or list signal types. For browsing the curated report layer (the Inbox) : listing reports, filtering by status/source, drilling into a single report by ID : use the `inbox-exploration` skill first; drop into this skill afterwards if the user wants the underlying observations.

Quoted from the skill description in the pinned source

Who made it

Publisherposthog
Repositoryskills
Installs340as 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 signals 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
sha256:1f6f806570e457ecb6411ad3cf802921e511caa00b6eac48be1bc2d809d4ec26
Licence
MIT