by GortexAI · Codex Skill · ★ 790
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pipx install franco # or, in a virtualenv: pip install franco
git clone https://github.com/GortexAI/franco.git && cd francoTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 790 |
| Forks | 307 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-26 |
| Created | 2026-10-15 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~22k |
Franco An outbound sales agent that runs on your own machine, on the Claude Code or Codex subscription you already pay for. Franco works through a list of accounts. For each one it finds or imports a reason to write, sends a short email sequence from your own mailbox, reads the replies, and handles them. Every fact it uses is recorded with its source.
These tools work well together with franco for enhanced workflows:
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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: