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 latent-variable · Agent Tool · ★ 9
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is deep-learning-birthday safe to install? View the security audit →
Happy Birthday to Me (Self-Supervised): a riso-print music video for AlexNet's 14th birthday, made with local open models and Claude
| Stars | 9 |
| Forks | 2 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 51.4601603050071/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-09-28 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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deep-learning-birthday is Happy Birthday to Me (Self-Supervised): a riso-print music video for AlexNet's 14th birthday, made with local open models and Claude. It is categorized as a Agent Tool with 9 GitHub stars.
deep-learning-birthday is primarily written in JavaScript.
You can find installation instructions and usage details in the deep-learning-birthday GitHub repository at github.com/latent-variable/deep-learning-birthday. The project has 9 stars and 2 forks, indicating an active community.
deep-learning-birthday is released under the MIT license, making it free to use and modify according to the license terms.
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: