signoz-investigating-alerts

Diagnose why a SigNoz alert fired by correlating the alert's own signal with neighbor signals (error rate.

What this skill does for you

Diagnose why a SigNoz alert fired by correlating the alert's own signal with neighbor signals (error rate, latency, throughput, CPU/memory), traces, and logs around the fire window, and rank likely causes. Make sure to use this skill whenever the user asks "why did this alert fire", "what caused alert X", "investigate this alert", "RCA for the alert that paged me", "what's wrong with [service]" in the context of a recent fire, or otherwise asks for a root-cause analysis of a firing or recently-fired alert. Read-only; does not modify any alert or notification.

Quoted from the skill description in the pinned source

Who made it

Publishersignoz

Repositoryagent-skills

Installs299as 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 signoz-investigating-alerts skill from signoz/agent-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: eac09ab84fc628261437617d8db12618c144e0c7. 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: eac09ab84fc628261437617d8db12618c144e0c7. 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: eac09ab84fc628261437617d8db12618c144e0c7. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/signoz/agent-skills
Pinned skill file: View source at revision
Revision: eac09ab84fc628261437617d8db12618c144e0c7
Package hash: sha256:03165084609eb8a26f11bd62d26270a3e4014d171f17b2acfdd9ee80a92e0bc4
Licence: MIT