by Azure-Samples · Agent Tool · ★ 166
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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.
| Stars | 166 |
| Forks | 185 |
| Language | Java |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 15 |
| Last Updated | 2026-04-07 |
| Created | 2024-09-11 |
| Platforms | java |
| Est. Tokens | ~537k |
pagetype: sample languages: azdeveloper java bicep typescript html products: ai-services azure azure-openai active-directory azure-cognitive-search azure-container-apps azure-sdks github document-intelligence azure-monitor azure-pipelines urlFragment: agent-openai-java-banking-assistant name: Multi Agents Banking Assistant with Java and Langchain4j description: A Java sample app emulating a...
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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: