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Skill evidence / observability-service-reliability
Skill profile

observability-service-reliability

Design and operate service reliability targets in Elastic Observability: choose an SLI type and a...

What this skill does for you

Design and operate service reliability targets in Elastic Observability: choose an SLI type and a defensible target, pick a time window and budgeting method, create and maintain SLOs through the Kibana API, attach burn-rate alert rules, and decide when an SLO is the wrong instrument and a threshold rule, anomaly job, or synthetics monitor is right. Use when defining or reviewing SLOs and error budgets, tuning burn-rate alerting, reducing alert noise, or setting up availability monitoring for a user-facing endpoint.

Quoted from the skill description in the pinned source

Who made it

Publisherelastic
Repositoryagent-skills
Installs492as 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-service-reliability 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
sha256:158de473a23c66526aee3abff18648acb9a92e07e743e713697a5a17597790bd
Licence
Apache-2.0