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 BlockRunAI · Agent Tool · ★ 554
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Franklin safe to install? View the security audit →
The AI agent with a wallet. Other agents write code. Franklin writes code and spends money to get things done. One wallet. Every model. Every paid API. Pay only for outcomes — not subscriptions. <a href="ht
| Stars | 554 |
| Forks | 55 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.4021416345259/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-15 |
| Created | 2026-03-22 |
| Platforms | node |
| Est. Tokens | ~19k |
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Franklin is The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.. It is categorized as a Agent Tool with 554 GitHub stars.
Franklin is primarily written in TypeScript. It covers topics such as ai-agent, ai-marketing, ai-trading.
You can find installation instructions and usage details in the Franklin GitHub repository at github.com/BlockRunAI/Franklin. The project has 554 stars and 55 forks, indicating an active community.
Franklin is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Franklin on Agent Skills Hub include agent, cashclaw, ai-hedge-fund-crypto. 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: