ClawManager: A Kubernetes-native control plane for AI agent instance management, with governed AI access, runtime

by Yuan-lab-LLM · Codex Skill · ★ 1.9k

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.

hermeskubernetesopenclawwebtop

Quick Facts

Stars1,887
Forks159
LanguageGo
CategoryCodex Skill
LicenseMIT
Quality Score58/100
Open Issues20
Last Updated2026-11-07
Created2026-03-20
Platformsgo, k8s
Est. Tokens~18k

About ClawManager

ClawManager A Kubernetes-native control plane for AI agent instance management, with governed AI access, runtime orchestration, and reusable resources across multiple agent runtimes. Languages: English | Chinese | Japanese | Korean | Deutsch Explore the Product | Team Workspaces | AI Gateway | Agent Control Plane | Runtime Integrations | <a hre

Compatible Skills

These tools work well together with ClawManager for enhanced workflows:

  • mcp-server-kubernetes — semantic(0.43)+complementary+same_lang+similar_pop+shared_platform (65%)
  • fulling — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • kubernetes-mcp-server — semantic(0.46)+complementary+similar_pop+shared_platform (56%)
  • openclaw-cross-market-arbitrage-agent — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • Aurogen — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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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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