Token导航 LogoToken导航TokenDH.com
研究检索执行命令clawhub未标认证来源可访问clear审计通过

agent-friendly-cliAgent friendly CLI 搜索

Agent Skill

agent-friendly-cli 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,221

周安装

222

GitHub Stars

公开资料未说明

下载量

1,829
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-friendly-cli(Agent friendly CLI 搜索)
来源仓库:https://github.com/g9pedro/agent-friendly-cli
安装命令:
openclaw skills install agent-friendly-cli
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-friendly-cli

简介

用于设计和审核 CLI 工具的代理可用性。

  • 适用于构建新 CLI 工具或检查现有工具的 AI 兼容性。
  • 通过 clawhub 安装,集成到 OpenClaw 宿主环境。
  • 使用前需评估是否会触发命令执行或文件操作权限。
  • 建议结合原始文档了解具体审核标准和用例。agent-friendly-cli 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
agent-friendly-cli
description
Design and audit CLIs for agent usability. Use when building a new CLI tool, auditing an existing CLI for agent compatibility, reviewing CLI UX for AI agents, or adding agent-friendly patterns to command-line interfaces. Covers non-interactive design, progressive help discovery, pipeline support, idempotency, error handling, and structured output. Based on Cursor team research and field-tested patterns.

Agent-Friendly CLI Design

Checklist and patterns for building CLIs that agents can use effectively. Most CLIs assume a human at the keyboard — these patterns close the gap.

Core Principles

1. Non-Interactive by Default

Every input must be passable as a flag. Interactive prompts block agents.

# ❌ Blocks agents
$ mycli deploy
? Which environment? (use arrow keys)

# ✅ Works
$ mycli deploy --env staging

Keep interactive mode as fallback when flags are missing, never the primary path.

2. Progressive Help Discovery

Don't dump all docs upfront. Let agents discover via --help per subcommand.

# Agent runs top-level, sees subcommands
$ mycli --help

# Picks one, gets specific help
$ mycli deploy --help

An agent wastes no context on commands it won't use.

3. Useful --help with Examples

Every subcommand gets --help. Every --help includes examples. Agents pattern-match off examples faster than descriptions.

$ mycli deploy --help
Options:
  --env     Target environment (staging, production)
  --tag     Image tag (default: latest)
  --force   Skip confirmation

Examples:
  mycli deploy --env staging
  mycli deploy --env production --tag v1.2.3
  mycli deploy --env staging --force

4. Flags and stdin for Everything

Agents think in pipelines. Support chaining and piping.

cat config.json | mycli config import --stdin
mycli deploy --env staging --tag $(mycli build --output tag-only)

Don't require positional args in weird orders. Don't fall back to interactive prompts for missing values.

5. Fail Fast with Actionable Errors

Missing flag? Error immediately with correct invocation. Don't hang or print vague messages.

# ❌ Bad
$ mycli deploy
Error: missing required arguments

# ✅ Good
$ mycli deploy
Error: --env is required
Usage: mycli deploy --env <staging|production> [--tag <version>]

Agents self-correct when given something to work with.

6. Idempotent Commands

Agents retry constantly — network timeouts, context loss mid-task. Running the same command twice should be safe.

$ mycli deploy --env staging --tag v1.2.3
✓ Deployed v1.2.3 to staging

$ mycli deploy --env staging --tag v1.2.3
✓ Already deployed, no-op

7. --dry-run for Destructive Actions

Let agents preview before committing.

$ mycli deploy --env production --tag v1.2.3 --dry-run
Would deploy v1.2.3 to production
  - Stop 3 running instances
  - Pull image registry.io/app:v1.2.3
  - Start 3 new instances
No changes made.

8. --yes / --force to Skip Confirmations

Humans get "are you sure?" — agents pass --yes.

$ mycli delete-all --yes

Make the safe path the default but allow bypassing.

9. Predictable Command Structure

Pick a pattern and use it everywhere. If an agent learns one, it can guess the rest.

# resource + verb pattern
mycli service list
mycli deploy list
mycli config list

10. Structured Output on Success

Return actionable data, not just decorative messages.

# ❌ Cute but unhelpful
$ mycli deploy
🚀 Deployed successfully!

# ✅ Actionable
$ mycli deploy --env staging --tag v1.2.3
deployed v1.2.3 to staging
url: https://staging.myapp.com
deploy_id: dep_abc123
duration: 34s

Support --json for machine-readable output when possible.

11. Consistent Exit Codes

  • 0 = success
  • 1 = general error
  • 2 = usage error (bad args)

Agents use exit codes to decide next steps.

Audit Checklist

When reviewing an existing CLI for agent compatibility, check each item:

#PatternCheck
1Non-interactiveCan every input be passed as a flag?
2Progressive helpDoes each subcommand have its own --help?
3Examples in helpDoes --help include usage examples?
4Stdin supportCan data be piped in via --stdin or -?
5Fast failuresDo missing args error immediately with usage hint?
6IdempotencyIs running the same command twice safe?
7Dry runDo destructive commands support --dry-run?
8Skip promptsIs there --yes / --force for confirmations?
9Predictable structureIs command naming consistent (resource + verb)?
10Structured outputDoes success output include actionable data?
11JSON outputIs --json available for machine parsing?
12Exit codesAre exit codes consistent (0/1/2)?

When Designing a New CLI

  1. Start with the flag-only interface. Add interactive prompts later as convenience.
  2. Write the --help examples before writing the implementation.
  3. Default to --json output internally, add human-friendly formatting on top.
  4. Every write operation gets --dry-run. No exceptions.
  5. Test by having an agent use it. Watch where it gets stuck.

Source

Based on Eric Zakariasson's (Cursor) "Building CLIs for agents" (March 2026), field-tested across ClawVault, WorkGraph, and Versatly CLI ecosystem.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.21%
按下载量换算1,632

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install agent-friendly-cli 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills