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Skill evidence / observability-sre-triage
Skill profile

observability-sre-triage

Triage a degraded or suspect service end to end: read SLO status and burn rate.

What this skill does for you

Triage a degraded or suspect service end to end: read SLO status and burn rate, check active alerting rules and ML anomalies, measure throughput, latency, and error rate, assess dependency health and infrastructure saturation, and funnel logs down to the failures that explain it. Use when someone asks whether a service is healthy, why it is slow or erroring, what is in its logs, or which attribute distinguishes the requests that are failing. Also use when someone asks for the query behind any of those signals : throughput, latency percentiles, error rate, dependency health, or log volume : over APM/OTel traces, metrics, or logs.

Quoted from the skill description in the pinned source

Who made it

Publisherelastic
Repositoryagent-skills
Installs494as 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 observability-sre-triage skill from elastic/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: baa511126ba2dc37b52e273b52734f8e4e0d323c. 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: baa511126ba2dc37b52e273b52734f8e4e0d323c. 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: baa511126ba2dc37b52e273b52734f8e4e0d323c. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/elastic/agent-skills
Pinned skill file
View source at revision
Revision
baa511126ba2dc37b52e273b52734f8e4e0d323c
Package hash
sha256:02dd054ca656ad2dab41183a044eba3c648ff54020ab14f74217c9d2e667aad3
Licence
Apache-2.0