signoz: Open-source, OpenTelemetry-native observability platform for your team and their AI agents

by SigNoz · MCP Server · ★ 32.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 58/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

apmapplication-monitoringdistributed-tracinggogood-first-issuejaegerloglogsmetricsmonitoring

Quick Facts

Stars32,545
Forks2,578
LanguageTypeScript
CategoryMCP Server
Quality Score58/100
Open Issues1598
Last Updated2026-11-07
Created2021-01-03
Platformsmcp, node
Est. Tokens~16k

About signoz

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Compatible Skills

These tools work well together with signoz for enhanced workflows:

  • lmnr — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • opsrobot — semantic(0.39)+complementary+rare_topics+shared_platform (57%)
  • langtrace — semantic(0.31)+complementary+rare_topics+same_lang+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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