openstatus: Open-source status page, incident response and uptime monitoring

by openstatusHQ · MCP Server · ★ 9.2k

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

Security audit verdict: SAFE · quality 68/100

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.

alertingincident-managementmcpmcp-servermonitoringmonitoring-as-codeobservabilityon-callopen-sourcesre

Quick Facts

Stars9,249
Forks807
LanguageTypeScript
CategoryMCP Server
LicenseAGPL-3.0
Quality Score68/100
Open Issues98
Last Updated2026-11-07
Created2023-06-19
Platformsmcp, node
Est. Tokens~15k

About openstatus

openstatus The open-source status page and uptime monitoring platform. Learn more » Documentation · Website · Discord About openstatus openstatus is an open-source platform that combines status pages and uptime monitoring in a single tool. Keep your users informed and your services reliable. Available as a managed service or self-hosted.

Compatible Skills

These tools work well together with openstatus for enhanced workflows:

  • CPA-Manager-Plus — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • lmnr — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • holmesgpt — semantic(0.26)+complementary+rare_topics+similar_pop (53%)
  • kuvasz — semantic(0.59)+rare_topics+shared_platform (51%)

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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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