JavaClaw: JavaClaw, a Java version of OpenClaw built on Spring Boot, Spring AI and JobRunr

by ClawRunr · Codex Skill · ★ 757

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

How to install JavaClaw

docker run -it -p 8080:8080 -p:8081:8081 -v "$(pwd)/workspace:/workspace" jobrunr.io/javaclaw

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

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.

javajobrunropenclaw

Quick Facts

Stars757
Forks168
LanguageJava
CategoryCodex Skill
LicenseLGPL-3.0
Quality Score73/100
Open Issues26
Last Updated2026-10-31
Created2026-03-17
Platformsjava
Est. Tokens~18k

About JavaClaw

JavaClaw JavaClaw is a Java-based personal AI assistant that runs on your own devices. It acts as a control plane (gateway) for an AI agent that can interact across multiple communication channels, manage tasks, execute shell commands, browse the web, and more — all while keeping your data local.

Compatible Skills

These tools work well together with JavaClaw for enhanced workflows:

  • yu-ai-agent — semantic(0.63)+complementary+shared_fw(spring)+same_lang+similar_pop+shared_platform (80%)
  • spring-boot-skills — semantic(0.59)+complementary+shared_fw(spring)+same_lang+similar_pop+shared_platform (79%)
  • yu-ai-agent — semantic(0.66)+complementary+shared_fw(spring)+same_lang+similar_pop+shared_platform (76%)
  • spring-ai — semantic(0.64)+complementary+shared_fw(spring)+same_lang+similar_pop+shared_platform (75%)
  • api2mcp4j — semantic(0.63)+complementary+shared_fw(spring)+same_lang+similar_pop+shared_platform (75%)

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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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