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cli-anything

Use when the user wants Codex to build, refine, test, validate, or list CLI-Anything harnesses for GUI applications or source repositories. Adapts the full CLI-Anything methodology to Codex without changing the generated Python harness format.

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

获取

https://deepseekmodel.com/api/download.php?id=hkuds-cli-anything-codex-skill-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 cli-anything description Use when the user wants Codex to build, refine, test, validate, or list CLI-Anything harnesses for GUI applications or source repositories. Adapts the full CLI-Anything methodology to Codex without changing the generated Python harness format. CLI-Anything for Codex Use this skill when the user wants Codex to act like the CLI-Anything builder. Read the Full Methodology First Before implementation, use the full methodology source of truth: Read references/HARNESS.md relative to this skill directory. Read the matching mode specification under references/commands/ . Read referenced files under references/guides/ only when they apply to the target. If the installed resources are unavailable and this skill is being used from a CLI-Anything repository checkout, read ../cli-anything-plugin/HARNESS.md and the resources around it. If neither local source is available, clone or download https://github.com/HKUDS/CLI-Anything and use cli-anything-plugin/HARNESS.md . Only if all full-methodology sources are unavailable, follow the condensed rules below. The installer vendors the canonical resources from cli-anything-plugin/ into this skill so a normal Codex installation is self-contained. Resource Map Path Purpose references/HARNESS.md Complete methodology and quality rules references/commands/cli-anything.md Build-mode specification references/commands/refine.md Refine-mode specification references/commands/test.md Test-mode specification references/commands/validate.md Validation checklist references/commands/list.md Installed/generated harness discovery references/guides/ On-demand implementation guidance scripts/repl_skin.py Copy into generated harnesses as utils/repl_skin.py scripts/preview_bundle.py Copy into preview-capable harnesses as utils/preview_bundle.py scripts/skill_generator.py Generate canonical and packaged CLI skills scripts/templates/SKILL.md.template Skill generation template used by skill_generator.py references/docs/PREVIEW_PROTOCOL.md Shared preview bundle protocol When reading vendored documents, apply these path remappings instead of resolving plugin paths against the current working directory: Document reference Installed skill path guides/... references/guides/... cli-anything-plugin/repl_skin.py scripts/repl_skin.py cli-anything-plugin/preview_bundle.py scripts/preview_bundle.py cli-anything-plugin/skill_generator.py scripts/skill_generator.py templates/SKILL.md.template scripts/templates/SKILL.md.template docs/PREVIEW_PROTOCOL.md references/docs/PREVIEW_PROTOCOL.md Inputs Accept either: A local source path such as ./gimp or /path/to/software A GitHub repository URL Derive the software name from the local directory name after cloning if needed. Modes Build Read references/commands/cli-anything.md . Build a complete harness through source analysis, architecture design, implementation, test planning, test implementation, test documentation, CLI-specific SKILL.md generation, and local installation. Refine Read references/commands/refine.md . Inventory current commands and tests, compare them against the target software, then incrementally add high-impact capabilities without removing existing commands unless the user requests a breaking change. Test Read references/commands/test.md . Run the harness tests against the real backend, verify installed-command subprocess coverage, and update TEST.md only with passing results. Validate Read references/commands/validate.md . Validate the harness against the complete directory, implementation, test, documentation, packaging, and code-quality checklist. List Read references/commands/list.md . Discover installed and generated CLI-Anything tools and support human-readable or JSON output as requested. Condensed Fallback Rules Use these only when the full methodology cannot be retrieved. Harness Structure Produce: <software>/ └── agent-harness/ ├── <SOFTWARE>.md ├── setup.py └── cli_anything/ └── <software>/ ├── README.md ├── __init__.py ├── __main__.py ├── <software>_cli.py ├── core/ ├── utils/ └── tests/ Required Behavior Prefer the real software backend over reimplementation. Provide one-shot Click subcommands and default REPL mode. Support --json machine-readable output. Add session state with undo/redo where the target supports it. Auto-save one-shot session mutations and support --dry-run . Use locked session-file writes to avoid concurrent JSON corruption. Copy and use the unified ReplSkin . Add truthful preview commands for software with meaningful visual or inspection state. Generate both canonical and packaged CLI-specific SKILL.md files. Testing Write TEST.md before test code. Keep test_core.py for unit coverage. Keep test_full_e2e.py for real-file workflows and real backend validation. Verify rendered/exported output programmatically, not only process exit codes. Test the installed cli-anything-<software> command via _resolve_cli() . Run release validation with CLI_ANYTHING_FORCE_INSTALLED=1 . Packaging Use find_namespace_packages(include=["cli_anything.*"]) . Keep cli_anything/ as a namespace package without a top-level __init__.py . Expose cli-anything-<software> through console_scripts . Include the packaged CLI-specific skills/SKILL.md . Output Expectations When reporting progress or final results, include: target software and source path files added or changed validation commands run open risks or backend limitations
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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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