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 sudoHG · Codex Skill · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-reset-credits-skill safe to install? View the security audit →
codex-reset-credits-skill 简体中文 packages a Codex Skill named . It lets Codex query banked Codex reset credits from the local Codex Desktop login state and report available count plus expiration times. The query is local-first and read-only: it reads , calls the ChatGPT backend reset-credit endpoint, and prints only sanitized output. This project is unofficial and is not affiliated with OpenAI. Use With Codex Send Codex this file: Then ask: Codex should read the runbook, run the script locally, and return a clean summary table. Install As A Codex Skill Copy the Skill folder into your Codex skills directory: Restart Codex or open a new Codex session. Then ask: Direct CLI Exampl
| Stars | 80 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.9884583258682/100 |
| Last Updated | 2026-06-30 |
| Created | 2026-06-28 |
| Platforms | codex, python |
| Est. Tokens | ~2k |
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codex-reset-credits-skill is Codex Skill and runbook for querying banked Codex reset credits / Codex 重置机会过期时间查询Skill，可以安装后查询，也支持不安装一次性查询. It is categorized as a Codex Skill with 80 GitHub stars.
codex-reset-credits-skill is primarily written in Python. It covers topics such as codex, codex-skill, codex-skills.
You can find installation instructions and usage details in the codex-reset-credits-skill GitHub repository at github.com/sudoHG/codex-reset-credits-skill. The project has 80 stars and 4 forks, indicating an active community.
codex-reset-credits-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-reset-credits-skill on Agent Skills Hub include codex-skills-library, skills, terrashark. 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: