No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by shuxiachai · Agent Tool · ★ 812
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is academic-commercialization-agent safe to install? View the security audit →
Academic Commercialization Assessment Agent Turn any research paper or topic into a commercialization readiness report in minutes — six AI agents gather academic, patent, and market evidence, then produce a scored report with verifiable citations. English | 中文 English A multi-agent system built on CrewAI that evaluates the commercialization readiness of academic research. Input a research direction or paper topic. Six specialized AI agents automatically gather evidence from academic literature, patent databases, and market intelligence sources, then produce a structured commercialization assessment report with verifiable citations and a quantitative scorecard. Screenshots ▶ Analysis in progress — live agent status + source list <img src
| Stars | 812 |
| Forks | 101 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.9632152900827/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-06-25 |
| Platforms | python |
| Est. Tokens | ~20k |
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academic-commercialization-agent is Evidence-constrained commercialization assessment with deterministic retrieval, six LLM stages, auditable scoring and checkpoint recovery.. It is categorized as a Agent Tool with 812 GitHub stars.
academic-commercialization-agent is primarily written in Python. It covers topics such as academic-research, ai-agent, anthropic.
You can find installation instructions and usage details in the academic-commercialization-agent GitHub repository at github.com/shuxiachai/academic-commercialization-agent. The project has 812 stars and 101 forks, indicating an active community.
academic-commercialization-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to academic-commercialization-agent on Agent Skills Hub include captain-claw, antigravity-workspace-template, autollm. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: