asset-intel-orchestration-engine: Open-source platform for multi-agent AI orchestration, real-world asset tokenization, workflow automation

by Kronova-Intelligent-Systems · MCP Server · ★ 251

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

How to install asset-intel-orchestration-engine

git clone https://github.com/kronova/asset-intel-orchestration-engine.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

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.

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.

ai-agentsai-orchestration-engineasset-tokenizationcantondefimcpmcp-servermodel-context-protocolmulti-agent-systemsnextjs

Quick Facts

Stars251
Forks37
LanguageTypeScript
CategoryMCP Server
Quality Score67/100
Open Issues4
Last Updated2026-09-22
Created2024-01-28
Platformsmcp, node
Est. Tokens~15k

About asset-intel-orchestration-engine

Kronova Asset Intelligence and Orchestration Platform Welcome to the official open-source frontend and intelligent orchestration layer for the Kronova Intelligent Systems ecosystem. Most of the codebase is functional, production worthy, and scalable with relatively minor tweaks. However, the platform and API is a work in progress and we encourage developers to take the reigns from here.

Compatible Skills

These tools work well together with asset-intel-orchestration-engine for enhanced workflows:

  • clawlink — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • ai-agent-automation — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • Multi-AI-Workflow — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • CodeMachine-CLI — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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