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 openai-php · Codex Skill · ★ 5.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is client safe to install? View the security audit →
OpenAI PHP is a community-maintained PHP API client that allows you to interact with the Open AI API. Follow the creator Nuno Maduro: YouTube: youtube.com/@nunomaduro — Videos every weekday Twitch: twitch.tv/enunomaduro — Streams (almost) every weekday Twitter / X: x.com/enunomaduro LinkedIn: linkedin.com/in/nunomaduro Instagram: [instagram.c
| Stars | 5,833 |
| Forks | 681 |
| Language | PHP |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.4327293674964/100 |
| Open Issues | 23 |
| Last Updated | 2026-09-26 |
| Created | 2022-09-25 |
| Platforms | cli, codex |
| Est. Tokens | ~28k |
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client is ⚡️ OpenAI PHP is a supercharged community-maintained PHP API client that allows you to interact with OpenAI API.. It is categorized as a Codex Skill with 5.8k GitHub stars.
client is primarily written in PHP. It covers topics such as api, client, codex.
You can find installation instructions and usage details in the client GitHub repository at github.com/openai-php/client. The project has 5.8k stars and 681 forks, indicating an active community.
client is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to client on Agent Skills Hub include awesome-ChatGPT-repositories, awesome-gpt-prompt-engineering, ChatMock. 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: