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Skill evidence / signoz-generating-queries
Skill profile

signoz-generating-queries

Generate, write, or run an ad-hoc query against SigNoz observability data (metrics, logs, or traces)...

What this skill does for you

Generate, write, or run an ad-hoc query against SigNoz observability data (metrics, logs, or traces) without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data, even if they don't say "query" or "search" explicitly.

Quoted from the skill description in the pinned source

Who made it

Publishersignoz
Repositoryagent-skills
Installs327as 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-generating-queries 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.

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: 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
sha256:8f02baf28902c98030a3617b670e3cdc55ee5c5efbe4bfea95f399ac53457547
Licence
MIT