by teremterem · Claude Skill · ★ 240
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/teremterem/claude-code-gpt-5-codex.git
Taken from the project's README on GitHub.
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.
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 | 240 |
| Forks | 25 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 7 |
| Last Updated | 2026-07-22 |
| Created | 2025-08-11 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~15k |
This repository lets you use Anthropic's Claude Code CLI with OpenAI models such as GPT-5-Codex, GPT-5.1, and others via a local LiteLLM proxy. ⚠️ ATTENTION ⚠️ If you're here to set up with as the web UI (or any other OpenAI / Anthropic API compatible client, for that matter), head over to the litellm-server-boilerplate repository.
These tools work well together with claude-code-gpt-5-codex for enhanced workflows:
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Agent samples built using the Strands Agents SDK.
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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: