dsh-agent-conductor: Dispatching Tasks to External Agent CLIs within DeepSeek Harness Sessions
dsh-agent-conductor is an MIT-licensed plugin maintained by MJorgin, designed to extend the capabilities of DeepSeek Harness (DSH) sessions. It allows users to dispatch self-contained tasks to 11 external Coding Agent CLIs (including Codex, Claude Code, Gemini, Cursor, and others) within DSH, directly bringing back the standard output results from the target CLI into the current conversation. The tool offers two integration methods: a zero-dependency Skill, which enables natural language triggering by copying the `skills/conductor/` directory; and an optional Host-only Bundle, which can be installed as a Profile tool via the `dsh plugin` command.
Read Moredsh-openai-oauth: Integrating Codex Model into DeepSeek Harness via ChatGPT Login
`dsh-openai-oauth` is a standalone community plugin for DeepSeek Harness (DSH) designed to address external model login status, credential storage, and model list management. This plugin works by connecting to the official local Codex app-server, leveraging the OAuth mechanism of ChatGPT accounts to handle login, credential saving, token refreshing, and model access, eliminating the need for users to separately prepare an OpenAI API key or maintain a hardcoded model version list. Key features include automatic registration to DSH's web, headless, and custom profiles, with support for configuring providers and models via the interface or the `~/.dsh/settings.yaml` file. The model list is updated in real-time from the current
Read Moredsh-codex-auth: Reusing Codex CLI Login to Integrate GPT Auth and Codex Capabilities into DSH
dsh-codex-auth is a DSH client plugin (v0.3.0) maintained by suntianc. It leverages the local Codex CLI's ChatGPT login state to provide openai-codex LLM routing, global web search, image generation, and a native GPT Auth settings interface. Installation is recommended via `dsh plugin --profile web add dsh-codex-auth`. The plugin uses an unofficial backend API and is intended solely for personal development. Please review the source code and license before installation.
Read Moredsh-codex-sync: Two-Way Synchronization Bridge Between Codex and DSH
dsh-codex-sync is a DSH workflow plugin maintained by Walvez, providing continuous bidirectional bridging between OpenAI Codex and DeepSeek Harness: project conversations can be imported, exported, and incrementally synchronized, ~/.codex/skills is mounted in real-time as DSH Skills, mcp_servers are automatically mirrored, and a reverse MCP can be installed on the Codex side to retrieve DSH plugins. The installation command is `dsh plugin --profile web add dsh-codex-sync`, licensed under MIT, requiring Node >= 20.
Read MoreTwo approaches to integrate DeepSeek V4 into Mixagents based on Codex and Pi respectively
Mixagents is maintained by Utopia-V, open-sourced under the MIT License, and its community directory is categorized under "Models and Providers". There are two independent components in the repository: Codex DeepSeek Subagent allows the main task to continue using OpenAI, while handing over retrieval and text work to deepseek-v4-flash; pi-dsh-mimic 0.1.1 only reproduces DSH Minimal during Pi's first request, and then reverts to Pi's tools and plugins. The directory page provides the `dsh plugin add` command, and the actual installation shall be subject to the GitHub documentation.
Read More### 正式技术译法（符合海外开源项目命名习惯）： `deepseek-harness-external-migration: Migrate configurations and sessions from Codex and Claude Code into DeepSeek Harness`
A MIT plugin maintained by buguoshixc that migrates configurations and chat histories from Codex, Claude Code, Qoder and OpenCode to DeepSeek Harness. The process includes scanning, previewing and confirming the import: scanning is read-only and does not return credentials, and import requires `confirm=true`. First export a review package for configurations, replace MCP keys with environment variables, and no automatic overwriting. Requires dsh 0.1.0-rc.5 and Node.js 22.19+/24+. Installation command on the catalog page: `dsh plugin add github:buguoshixc/deepseek-harness-external-migration`.
Read MoreIntegrate ChatGPT Subscription into DeepSeek Harness via dsh-llm-codex-oauth
# 翻译结果： dsh-llm-codex-oauth is maintained by Player-MINEPIG under the MIT license. It uses the Codex OAuth device code to log into ChatGPT, exposing subscriptions such as Plus/Pro as a dsh codex-oauth provider. Credentials are only written to the local credential store; it can view images but does not generate them. The author states that calling the undisclosed backend violates the terms and carries the risk of account ban. Installation: dsh plugin add github:Player-MINEPIG/dsh-llm-codex-oauth.
Read MoreConnect Codex CLI Subscription to DeepSeek Harness with dsh-codex-subscription
The community plugin dsh-codex-subscription (npm package name: dsh-llm-codex) is maintained by yequ172672. It reuses the ~/.codex/auth.json file from the local Codex CLI, and enables the use of ChatGPT subscription models in DeepSeek Harness without requiring a Platform API Key. This article covers the directory page, verification of installation commands via GitHub and npm, token refresh, proxy configuration, and the text-only limitation.
Read MoreConnect ChatGPT Subscription to DeepSeek Harness with dsh-codex-connect
DSH-Codex-Connect is a community-maintained plugin for DeepSeek Harness models and their providers. It uses ChatGPT OAuth to access the OpenAI Codex model catalog without turning subscriptions into OpenAI Platform API credentials. This article checks the installation commands against the catalog page and GitHub README, covers login on the settings page, optional search/image viewing features, diagnostic commands, conflict resolution with the legacy dsh-codex, as well as Alpha compatibility boundaries.
Read MoreIntegrate Official Documentation for AI Programming Assistants with openai-docs Skill: Say Goodbye to Outdated APIs and Fabricated Parameters
# Official curated Skill "openai-docs" from OpenAI: Retrieve and cite the latest documentation via Developer Docs MCP (search/fetch/OpenAPI) This skill covers API usage, Codex manual self-knowledge, model selection and prompt engineering. It explains the paired installation with Docs MCP across platforms including Codex, Cursor and Claude Code, typical prompt usage scenarios, and precautions such as read-only document access and narrow-scope migration, to alleviate the issues of outdated documentation and parameter hallucinations in AI programming assistants.
Read MoreGenerate bitmap assets in the coding workflow using Codex's imagegen Skill
# Introduction to OpenAI Codex System-level Skill `imagegen` This skill enables generation and editing of bitmap assets including photos, illustrations, mockups and sprites within coding conversations via either the built-in `image_gen` command or an explicit CLI. Details including default auto-installation location, two operating modes, prompt templates, save path conventions, applicable boundaries and official CLI examples are provided to facilitate directly integrating visual assets into project repositories.
Read More# skill-installer: The "Package Manager" for Installing Skills on Codex
Skill-installer is a system Skill pre-installed by OpenAI alongside Codex, used to install Skills to `$CODEX_HOME/skills` (default path: `~/.codex/skills`) from the official curated/experimental catalog or any GitHub repository path. Based on the official SKILL.md and Codex documentation, this article explains how to use `skill-installer` to list and install Skills, covers script parameters, private repository and download fallback strategies, as well as the boundaries of local testing and plugins distribution.
Read MoreBuild ChatGPT Apps with chatgpt-apps Skill: MCP Server + Widget UI
### 正式翻译结果： ### Introduction to OpenAI's official curated Skill chatgpt-apps: How to scaffold, refactor and troubleshoot ChatGPT Apps SDK applications (MCP server + Widget UI) following a docs-first workflow. The article verifies the capabilities of Skills, application prototype classification, upstream example priority, usage boundaries between MCP Apps bridge and window.openai, as well as the installation and activation methods in Codex and Cursor. It also provides prompt examples for paired use with openai-docs and local joint debugging steps for Developer Mode.
Read More`define-goal`: Clarify the Goal First, Then Let the Agent Take Action
This article introduces OpenAI's curated Skill `define-goal`: it is used to refine vague intentions into specific, measurable and verifiable goals before coding, and call `get_goal/create_goal` again in accordance with quality standards. Based on the official SKILL.md documentation, the article explains the workflow, comparisons between good and bad goals, Codex installation (via `$skill-installer`), and the method of enabling it in tools such as Cursor/Claude Code through the SKILL.md directory. It also reminds that this skill only performs goal definition and does not manage long-cycle execution deliverables.
Read MoreTurn Notion research into cited structured documents with notion-research-documentation
### Official English Translation: This article introduces the OpenAI curated skill `notion-research-documentation`: under the premise that Notion MCP has been connected, it enables cross-page retrieval and evidence synthesis within Notion, and generates cited documents in templates such as briefings, summaries, comparisons, and full reports. It follows the official SKILL.md instructions for installation and activation (including Codex's `$skill-installer` and Cursor's skills directory), covers the official five-step workflow, competitive product comparison examples, as well as precautions such as permissions, timeliness, and warehouse deprecation.
Read More`playwright-interactive: Using Persistent JS_REPL for UI Iteration and Debugging`
# Introduction to OpenAI's Featured Skill: playwright-interactive This skill enables persistent handling of Playwright/Electron via js_repl, allowing rapid iterative UI debugging on local web and Electron applications. It also supports completing QA checklists, functional validation, visual QA and viewport adaptation following official workflows. This article details the installation steps, pre-configuration requirements, typical code snippets, as well as notes such as the possible removal of js_repl in the current Codex, and makes a comparison with the CLI-oriented Playwright Skill.
Read MoreLinear Skill: Let AI Agents Directly Operate Linear Tickets, Not Just Write Code
### 译文： Officially selected by OpenAI: Skill Linear, which enables Agents to read, create and update Issues, projects and team workflows via Linear MCP. This article introduces its positioning, core capabilities, installation steps for Codex/Cursor, typical usage scenarios such as Bug triage and Standup synchronization, as well as precautions including OAuth and rate limits.
Read Moreyeet: Official OpenAI Skill, Run stage → commit → push → Create PR in one sentence
yeet is a curated Agent Skill maintained by OpenAI in the openai/skills repository. It only uses the GitHub CLI to complete git add, commit, push and create or update a Pull Request in one go when the user explicitly requests it. This article verifies its workflow based on the official SKILL.md: automatically creating a branch from the default branch, perceiving PR templates, avoiding duplicate PRs, and creating new PRs as Drafts. It also explains the installation methods and typical trigger phrases in Codex and Cursor. It is suitable for GitHub developers who want to hand over the final mile of Git release to AI Agents.
Read More# migrate-to-codex: Official Migration Skill to One-Click Move Claude Code Configuration to Codex
OpenAI's official Skill `migrate-to-codex` can convert Claude Code's instructions, Skills, Hooks, MCPs and sub-Agents into Codex's standard directory structure, supports scan, plan, dry-run and verification, and outputs a migration report. This article introduces installation and activation, typical commands, as well as the complementary relationship and limitations between it and Codex /import.
Read More### 版本1（面向技术用户，贴合原文语境）： `vercel-deploy`: Let AI Agents Deploy Projects to Vercel with One Click ### 版本2（更地道的技术文档译法）： `vercel-deploy`: Enable AI Agents to One-Click Deploy Projects to Vercel
Vercel-deploy is a Vercel deployment Skill in the OpenAI Skills curated directory, which guides AI Agents to one-click deploy applications to Vercel. It uses preview deployment by default; prioritizes Vercel CLI, and automatically downgrades to the deploy.sh script when not logged in, and can return previewUrl and claimUrl without prior account configuration. It supports automatic detection of frameworks such as Next.js, Nuxt, Astro, etc., and is applicable to tools such as Cursor, Codex CLI, and Claude Code.
Read MoreDrive Real Browsers via Terminal: Getting Started with OpenAI's Official Playwright Skill
OpenAI's featured Skill "playwright" wraps the Playwright Agent CLI into a terminal browser automation workflow: opening pages, taking snapshots to obtain element references, filling forms and clicking, taking screenshots, and debugging with Trace. Verified based on the official SKILL.md, this article introduces the installation methods (Codex skill-installer, Cursor .cursor/skills), the usage of the wrapper script, typical command examples, as well as precautions such as re-snapshotting when refs fail and not writing @playwright/test by default. It is suitable for E2E exploratory automation and UI process troubleshooting scenarios.
Read Moregh-address-comments: Structured Processing of GitHub PR Review Comments with Agent Skill
gh-address-comments is a curated Skill by OpenAI Codex. It pulls all review and inline comments of the current branch PR via gh CLI and GraphQL scripts, summarizes them with serial numbers for users to select the entries to handle, and then hands them over to the Agent for code modification. This article introduces its three-step workflow, the capabilities of fetch_comments.py, the installation methods of Codex and Cursor, as well as applicable scenarios and precautions under the human-in-the-loop design.
Read MoreJoint Report by OpenAI: Coding Agents Can Accelerate Scientific Software Maintenance but Cannot Verify Scientific Correctness
OpenAI released a field report in July 2026, summarizing 8 cases of life science software transformed by Codex, Claude Code, GPT-5.5 and other tools. Installation packaging, framework migration and performance optimization can significantly speed up projects, with some projects seeing their runtime shortened by more than 60 times, but Agents cannot guarantee scientific correctness. The report emphasizes independent testing harness, human acceptance and long-term maintenance responsibilities, noting that the bottleneck has shifted from code writing to verification and governance.
Read MoreOpenAI Integrates GPT-Live Full-Duplex Voice Access into Codex, Paving the Way for Hands-Free Operation of Coding Agents
On July 23, 2026, OpenAI integrated GPT-Live full-duplex voice access into Codex and ChatGPT Work in ChatGPT desktop build 26.715. Developers can use natural voice to initiate parallel coding tasks across threads between Chat, Work and Codex, review PRs, and remotely guide Agents. macOS also supports Appshots screen context. Based on OpenAI's official Changelog and Voice documentation, this article sorts out the GPT-Live architecture, typical scenarios, enabling steps, quota and permission boundaries, to help readers understand the interactive upgrade of Agentic Coding from typing commands to hands-free orchestration.
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