DSH Plugin: yoke233/dsh-openai-codex-auth
`yoke233/dsh-openai-codex-auth` is an open-source plugin designed for DeepSeek Harness (DSH). It aims to address the issue of scattered management of login credentials for the OpenAI Codex model. By connecting to ChatGPT Plus, Pro, Team, or Enterprise accounts via OAuth, this plugin automatically provides valid tokens to the `openai-codex` model provider, enabling a one-stop solution for login, usage viewing, and credential management on the DSH web settings page. Core features include automatically refreshing tokens nearing expiration, displaying short-term and weekly remaining quotas, and supporting re-login or logout. Installation is straightforward: simply add the plugin to the web profile using the `dsh plugin` command and restart.
Read Moredsh-codex-oauth: Accessing DSH's GPT, Image Generation, and Web Search via ChatGPT/Codex Subscription
@wnjxyk/dsh-codex-oauth is a DeepSeek Harness Web plugin maintained by WNJXYK. It binds ChatGPT/Codex subscriptions via OAuth, enabling the openai-codex model, generate_image for image creation, and web_search for internet searches, while displaying subscription quotas in the interface. It supports browser and device code login, requiring no configuration by default. Optional settings include a custom Cordis credential path and port. Verified on DSH 0.1.0-rc.6 under the MIT license. Installation: `dsh plugin --profile web add -w @wnjxyk/dsh-codex-oauth@latest`. Note: This relies on non-public Codex interfaces, so users should independently assess potential risks from protocol changes or account issues.
Read MoreOpenAI Official Security-Best-Practices: Performing Security Reviews of AI According to Languages and Frameworks
OpenAI has provided the `security-best-practices` Skill in the `curated` directory of the openai/skills repository. It includes 10 security specifications for common frameworks in Python, JavaScript/TypeScript and Go, and supports secure-by-default coding, passive inspection and structured security reporting. This article introduces its workflow, references library, Codex/Cursor installation methods and typical prompts, to help developers embed verifiable security review capabilities into AI-assisted programming.
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