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 codertesla · Agent Tool · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-coding-deals safe to install? View the security audit →
AI Coding Cost Optimization & Selection Guide 💰 A comprehensive guide to AI coding tool selection and cost optimization — tracking free tiers, commercial discounts, referral credits, and open-source alternatives in one place. English · 简体中文 AI coding tool pricing and quotas evolve rapidly. This repository tracks free tiers, commercial discounts, referral credits, and highly cost-effective deployment strategies to help developers and technical teams optimize their AI spend. Maintained by the community and verified against official vendor documentation. [!IMPORTAN
| Stars | 96 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.6633360320628/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-06-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~20k |
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ai-coding-deals is Money-saving guide to AI coding tools: free tiers, discounts, referral credits & open-source alternatives. 省钱指南。. It is categorized as a Agent Tool with 96 GitHub stars.
ai-coding-deals is primarily written in Python. It covers topics such as ai, ai-coding, ai-tools.
You can find installation instructions and usage details in the ai-coding-deals GitHub repository at github.com/codertesla/ai-coding-deals. The project has 96 stars and 3 forks, indicating an active community.
ai-coding-deals is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-coding-deals on Agent Skills Hub include awesome-ai-coding-techniques, holysheep-cli, cortex-tms. 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: