Skill audit report

signoz-setting-up-observability Audit report.

Run the full end-to-end observability setup for a service after its telemetry is already flowing into SigNoz — sequence SLI/SLO capture, data exploration (RED/USE), focused dashboards, saved Explorer views, burn-rate and absent-data alerts, and a tuning loop into one opinionated, SLO-aware workflow. Make sure to use this skill whenever the user says "set up observability after ingestion", "now that data is flowing, give me dashboards and alerts", "onboard this service to SigNoz end-to-end", "I want the full monitoring setup for X", or asks to go from raw telemetry to a complete dashboard + alerts + views package — even if they don't say "observability" explicitly. This is the orchestration layer: for a single artifact (just a dashboard, just one alert, just a saved view, or one static threshold alert, or a one-off query) use signoz-creating-dashboards, signoz-creating-alerts, signoz-managing-views, or signoz-generating-queries directly.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
69
Audit
62
Trust
55
Quality
72
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

62
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

FAIL

30

15 GitHub stars

Stars/forks activity

FAIL

37

15 stars, 10 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

54

credential or environment access, external package install surface

Install availability

PASS

92

npx skills add SigNoz/agent-skills --skill signoz-setting-up-observability

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

secrets or environment access, network or browser access

Repository evidence

PASS

86

https://github.com/SigNoz/agent-skills/tree/main/plugins/signoz/skills/signoz-setting-up-observability

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 16 Needs review

Install path

92

PASS

npx skills add SigNoz/agent-skills --skill signoz-setting-up-observability

Repository

88

PASS

https://github.com/SigNoz/agent-skills/tree/main/plugins/signoz/skills/signoz-setting-up-observability

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

55

CHECK

The SKILL.md excerpt is truncated, but the provided content is clear and complete for review.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

54

FIX

credential or environment access, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

secrets or environment access, network or browser access

Stars/forks activity

37

FIX

15 stars, 10 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

15 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The SKILL.md excerpt is truncated, but the provided content is clear and complete for review.
  • The skill depends on the SigNoz MCP server being installed; it mentions running `signoz-mcp-setup` but does not include detailed setup instructions within the skill itself.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, network or browser access
  • GitHub adoption: 15 GitHub stars
  • Stars/forks activity: 15 stars, 10 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: credential or environment access, external package install surface
  • Permission surface: secrets or environment access, network or browser access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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