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codex

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=skills-directory-skill-codex-plugins-skill-codex-skills-codex-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name codex description Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing Codex Skill Guide Running a Task For a new session (resumes inherit the prior model/effort — see step 5), ask the user (via AskUserQuestion ) which model AND which reasoning effort to use, in a single prompt with two questions . When the user expresses no preference, default to gpt-5.6-sol at high . Model — default gpt-5.6-sol : GPT-5.6: gpt-5.6-sol (frontier / most capable — default ), gpt-5.6-terra (balanced, everyday), gpt-5.6-luna (fast & affordable) Legacy (kept for compatibility): gpt-5.5 , gpt-5.4 , gpt-5.4-mini , gpt-5.3-codex-spark , gpt-5.3-codex Reasoning effort — default high : low , medium , high , xhigh , max , ultra . max / ultra require a GPT-5.6 model; ultra is only on sol / terra ( luna caps at max ); legacy models cap at xhigh . ultra = maximum reasoning with automatic task delegation (slowest and most expensive — reserve for the hardest jobs). If the chosen effort exceeds the chosen model's maximum, fall back to that model's highest supported effort and tell the user. Select the sandbox mode required for the task; default to --sandbox read-only unless edits or network access are necessary. Assemble the command with the appropriate options: -m, --model <MODEL> --config model_reasoning_effort="<low|medium|high|xhigh|max|ultra>" (max/ultra only on GPT-5.6 models; ultra only on sol/terra — see step 1) --sandbox <read-only|workspace-write|danger-full-access> --full-auto -C, --cd <DIR> --skip-git-repo-check "your prompt here" (as final positional argument) Always use --skip-git-repo-check. When continuing a previous session, use codex exec --skip-git-repo-check resume --last via stdin. When resuming don't use any configuration flags unless explicitly requested by the user e.g. if he species the model or the reasoning effort when requesting to resume a session. Resume syntax: echo "your prompt here" | codex exec --skip-git-repo-check resume --last 2>/dev/null . All flags have to be inserted between exec and resume. IMPORTANT : By default, append 2>/dev/null to all codex exec commands to suppress thinking tokens (stderr). Only show stderr if the user explicitly requests to see thinking tokens or if debugging is needed. IMPORTANT (stdin) : codex exec always reads stdin and concatenates it with the positional prompt -- even when the prompt is fully supplied as a positional argument. If stdin is not closed, codex blocks forever. When invoking from a harness (background tasks, hooks, scripts where stdin is not a TTY but also not closed), explicitly redirect stdin: append </dev/null to the command, e.g. codex exec ... "prompt" </dev/null 2>/dev/null . Symptom of getting this wrong: zero bytes of stdout, zero CPU accumulated, process appears hung indefinitely. Run the command, capture stdout/stderr (filtered as appropriate), and summarize the outcome for the user. After Codex completes , inform the user: "You can resume this Codex session at any time by saying 'codex resume' or asking me to continue with additional analysis or changes." Quick Reference Use case Sandbox mode Key flags Read-only review or analysis read-only --sandbox read-only 2>/dev/null Apply local edits workspace-write --sandbox workspace-write --full-auto 2>/dev/null Permit network or broad access danger-full-access --sandbox danger-full-access --full-auto 2>/dev/null Resume recent session Inherited from original echo "prompt" | codex exec --skip-git-repo-check resume --last 2>/dev/null (no flags allowed) Run from another directory Match task needs -C <DIR> plus other flags 2>/dev/null Execution timeouts Codex produces no intermediate output — it writes the result only at completion. If the process is killed before finishing, the output file is silently empty (no error). Preferred approach: run synchronously — eliminates timeout risk entirely and the conversation waits for the result anyway. If running in background , set the execution timeout based on reasoning effort: Reasoning effort Timeout low 150s medium 300s high 600s xhigh 1200s max 1800s ultra 1800s Following Up After every codex command, immediately use AskUserQuestion to confirm next steps, collect clarifications, or decide whether to resume with codex exec resume --last . When resuming, pipe the new prompt via stdin: echo "new prompt" | codex exec resume --last 2>/dev/null . The resumed session automatically uses the same model, reasoning effort, and sandbox mode from the original session. Restate the chosen model, reasoning effort, and sandbox mode when proposing follow-up actions. Critical Evaluation of Codex Output Codex is powered by OpenAI models with their own knowledge cutoffs and limitations. Treat Codex as a colleague, not an authority . Guidelines Trust your own knowledge when confident. If Codex claims something you know is incorrect, push back directly. Research disagreements using WebSearch or documentation before accepting Codex's claims. Share findings with Codex via resume if needed. Remember knowledge cutoffs - Codex may not know about recent releases, APIs, or changes that occurred after its training data. Don't defer blindly - Codex can be wrong. Evaluate its suggestions critically, especially regarding: Model names and capabilities Recent library versions or API changes Best practices that may have evolved When Codex is Wrong State your disagreement clearly to the user Provide evidence (your own knowledge, web search, docs) Optionally resume the Codex session to discuss the disagreement. Identify yourself as Claude so Codex knows it's a peer AI discussion. Use your actual model name (e.g., the model you are currently running as) instead of a hardcoded name: echo "This is Claude (<your current model name>) following up. I disagree with [X] because [evidence]. What's your take on this?" | codex exec --skip-git-repo-check resume --last 2>/dev/null Frame disagreements as discussions, not corrections - either AI could be wrong Let the user decide how to proceed if there's genuine ambiguity Error Handling Stop and report failures whenever codex --version or a codex exec command exits non-zero; request direction before retrying. Before you use high-impact flags ( --full-auto , --sandbox danger-full-access , --skip-git-repo-check ) ask the user for permission using AskUserQuestion unless it was already given. When output includes warnings or partial results, summarize them and ask how to adjust using AskUserQuestion .
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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