帮助你基于接口文档或脚本快速生成可组合的命令行工具
该 Skill 属于纯提示词/文档型能力,本身不要求密钥、未声明远程端点,也不直接执行代码或访问数据。结合其开源且社区采用度高的来源信息,整体为低风险;主要需注意的是其用途会引导后续生成并安装本地 CLI,但这属于使用阶段而非该材料本身的直接风险。
材料明确标注“无”密钥/环境变量要求;README 仅提到未来生成的 CLI 可能需要管理认证,但该 Skill 本身不收集、不存储也不暴露凭证。
未声明任何远程端点,且系统检查项标记为 prompt-only;文档虽涉及基于 API 文档/OpenAPI 构建 CLI,但该 Skill 本身没有证据表明会主动将用户数据外发到第三方服务。
README 中出现了如 `command -v` 等 shell 示例,并引导后续脚手架生成 CLI,但当前审计对象是提示词/说明文档,不是可执行程序;材料本身不具备直接在本机起进程或执行代码的能力。
文档提到可在如 `~/code/clis/<tool-name>` 等路径创建项目,并可能面向本地脚本或工作目录生成工具,但该 Skill 本身未声明拥有文件读写、仓库扫描或系统资源访问权限。
来源为 GitHub 上的 openai/skills,且标记为开源,社区采用度高(约 22k stars),这显著降低供应链风险。许可证未声明、维护状态未知是轻微信息缺口,但在无其他红旗情况下不足以上调风险。
复制安装指令,让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "cli-creator" 技能: 1. 下载 https://raw.githubusercontent.com/openai/skills/main/skills/.curated/cli-creator/SKILL.md 2. 保存为 ~/.claude/skills/cli-creator/SKILL.md 3. 装好后重载技能,告诉我可以用了
Create a real CLI that future Codex threads can run by command name from any working directory.
This skill is for durable tools, not one-off scripts. If a short script in the current repo solves the task, write the script there instead.
Name the target tool, its source, and the first real jobs it should do:
list drafts, download failed job logs, search messages, upload media, read queue schedule.ci-logs, slack-cli, sentry-cli, or buildkite-logs.Prefer a new folder under ~/code/clis/<tool-name> when the user wants a personal tool and has not named a repo.
Before scaffolding, check whether the proposed command already exists:
command -v <tool-name> || true
If it exists, choose a clearer install name or ask the user.
Before choosing, inspect the user's machine and source material:
command -v cargo rustc node pnpm npm python3 uv || true
Then choose the least surprising toolchain:
~/.local/bin.Do not pick a language that adds setup friction unless it materially improves the CLI. If the best language is not installed, either install the missing toolchain with the user's approval or choose the next-best installed option.
State the choice in one sentence before scaffolding, including the reason and the installed toolchain you found.
Sketch the command surface in chat before coding. Include the binary name, discovery commands, resolve or ID-lookup commands, read commands, write commands, raw escape hatch, auth/config choice, and PATH/install command.
When designing the command surface, read references/agent-cli-patterns.md for the expected composable CLI shape.
Build toward this surface:
tool-name --help shows every major capability.tool-name --json doctor verifies config, auth, version, endpoint reachability, and missing setup.tool-name init ... stores local config when env-only auth is painful.--limit, cursor, offset, or clearly documented default.--dry-run, draft, or preview first when the service allows it, and do not hide writes inside broad commands such as fix, debug, or auto.--json returns stable machine-readable output.request, tool-call, api, or the nearest honest name.Do not expose only a generic request command. Give Codex high-level verbs for the repeated jobs.
Document the JSON policy in the CLI README or equivalent: API pass-through versus CLI envelope, success shape, error shape, and one example for each command family. Under --json, errors must be machine-readable and must not contain credentials.
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