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Agent Skill · 研究检索

cli-review-runner(CLI 审查 runner)

cli-review-runner 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

cli-review-runner 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,223。

总安装 1,444周安装 59GitHub Stars 131下载 467核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:cli-review-runner(CLI 审查 runner)
来源仓库:https://github.com/pproenca/dot-skills
仓库路径:skills/cli-review-runner
安装命令:
npx skills add https://github.com/pproenca/dot-skills --skill cli-review-runner
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/pproenca/dot-skills --skill cli-review-runner

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

cli-review-runner 自动运行 10 项代理友好性审计,检查 CLI 是否符合自动化标准。适合在发布前或评审第三方 CLI 时使用黑盒探测技术。默认只读模式,不执行破坏性操作,确保安全性。安装前应确认目标 CLI 可访问,避免因路径错误导致探测失败。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cli-review-runner

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pproenca/dot-skills --skill cli-review-runner;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cli-review-runner 怎么安装?

在终端执行 npx skills add https://github.com/pproenca/dot-skills --skill cli-review-runner。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cli-review-runner 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cli-review-runner 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/pproenca/dot-skills --skill cli-review-runner 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。

cli-review-runner 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cli-review-runner 用的人多吗?

公开数据是累计安装 1,444 次,近一周安装 59 次,下载 467 次,GitHub 131 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cli-review-runner 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cli-review-runner

CLI 审查 runner · 本页

1,444131执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

cli-review-runner

Automates the 10-item agent-friendliness audit from cli-for-agents. Runs black-box probes against a target CLI and emits a structured report mapping each finding to a rule ID (e.g., help-examples-in-help, err-non-zero-exit-codes, safe-dry-run-flag). Default mode is read-only - probes never run destructive verbs with real arguments.

When to Apply

  • User asks to review or audit a CLI for agent-friendliness, automation readiness, or CI use
  • User has just finished building a CLI and wants a pre-ship sanity check
  • User is grading their own or a third-party CLI against the cli-for-agents catalog
  • User is asking why a CLI is hanging an agent, blowing up context, or failing to compose in a pipeline
  • PR review for a CLI change - quickly regress-test the --help, errors, and dry-run flags

How to Use

The skill is orchestrated by scripts/review.sh. Point it at the target CLI (absolute path or PATH-resolvable name) and pick an output format.

# Default: text table on stdout, exit 0 if all passed, 1 if any failed
bash scripts/review.sh --target /usr/local/bin/mycli

# Machine-readable output
bash scripts/review.sh --target gh --format json
bash scripts/review.sh --target kubectl --format ndjson

# Supply subcommand list when auto-discovery misses them
bash scripts/review.sh --target gh --subcommands pr,issue,repo

# Preview what would run without touching the target CLI
bash scripts/review.sh --target mycli --dry-run

# Include risky probes on destructive verbs (off by default)
bash scripts/review.sh --target mycli --include-destructive

See bash scripts/review.sh --help for the full flag list.

Workflow Overview

--target <cli>
   │
   ▼
[1] Validate target       fail fast if path missing or not executable
   │
   ▼
[2] Load rule catalog     references/rule-catalog.tsv (45 rules)
   │
   ▼
[3] Discover subcommands  parse top-level --help (gh/kubectl/commander shapes)
   │
   ▼
[4] Run probes P1..P10    each probe emits NDJSON findings to a temp file
   │
   ▼
[5] Render report         scripts/render.sh  ->  text | json | ndjson

Read references/workflow.md when you need the full probe-by-probe breakdown, failure modes, and how to extend the catalog.

Probe Coverage

ProbeRules testedCoverage
P1 Non-interactiveinteract-no-hang-on-stdin, interact-no-input-flag, interact-flags-first, interact-detect-tty, interact-no-timed-prompts, interact-no-arrow-menus, input-no-prompt-fallbackRun under </dev/null with timeout; inspect help for interactive language
P2 Layered helphelp-per-subcommand, help-no-flag-required, help-layered-discoveryTop-level line count; per-subcommand --help; zero-arg invocation
P3 Help exampleshelp-examples-in-help, help-flag-summary, help-suggest-next-stepsGrep each subcommand help for Examples:, short+long flag pairs, "See also"
P4 Actionable errorserr-actionable-fix, err-include-example-invocation, err-exit-fast-on-missing-required, err-no-stack-traces-by-defaultInvoke with bogus flag; grep stderr for fix + example; check for raw stack traces
P5 stderr channelingerr-stderr-not-stdoutError text must land on fd 2
P6 Exit codeserr-non-zero-exit-codesUsage error and runtime error must produce distinct non-zero codes
P7 stdin compositioninput-accept-stdin-dash, input-flags-over-positionalGrep help for - stdin convention; count positionals vs flags
P8 Structured outputoutput-json-flag, output-respect-no-color--json produces JSON; NO_COLOR=1 suppresses ANSI
P9 Destructive safetysafe-dry-run-flag, safe-force-bypass-flag, safe-no-prompts-with-no-inputInspect destructive verbs' --help for --dry-run / --yes / --force / --no-input
P10 Command structurestruct-resource-verb, struct-standard-flag-names, struct-no-hidden-subcommand-catchall, struct-flag-order-independentUniform shape, --help/--version present, unknown subcommand errors, flag position independence

Coverage: 30 of the 45 rules in cli-for-agents are black-box testable. The remaining 15 (idempotency, state reconciliation, NDJSON streaming, bounded output, crash-only recovery, env-var fallback, secret-stdin, confirm-by-typing-name) require either real invocation or source-code inspection - the report lists them as "manual review required".

Configuration

config.json stores the verb classifier lists and default timeout. The skill works without any setup - defaults are reasonable. Override per-invocation via flags or edit the file for project-wide changes.

{
  "timeout_seconds": 5,
  "safe_verbs": ["list", "get", "show", "status", "describe", "help", "version", "config", "ls", "inspect"],
  "destructive_verbs": ["delete", "drop", "destroy", "remove", "reset", "purge", "rm", "del"]
}

Safety Model

All probes are read-only by default:

  • Safe verbs (list, get, show,...) may be invoked with bogus flags to test error handling
  • Destructive verbs (delete, drop,...) are ONLY inspected via --help - never executed with arguments
  • Every probe runs with a 5-second wall-clock timeout under </dev/null
  • The target CLI is sandboxed to its own process; no shell metacharacters in arguments

When --include-destructive is passed, probes may invoke destructive verbs with bogus flags too. This exposes the rare case where a CLI does something destructive before validating flags. Only enable this against CLIs you trust, or in a disposable test environment.

Self-test

Before shipping changes to probes, run the self-test - it generates a mock CLI that deliberately violates specific rules and asserts the probes detect them:

bash scripts/selftest.sh

Expected output: Results: 8 passed, 0 failed. Any failure points at a regression in scripts/lib/probes.sh.

Files

FilePurpose
scripts/review.shMain entry point - orchestrates probes, renders the report
scripts/render.shOutput formatter: text / json / ndjson
scripts/selftest.shSanity check against a deliberately-buggy mock CLI
scripts/lib/common.shShared helpers: timeout, verb classifier, JSON escape, catalog loader
scripts/lib/probes.shProbe functions probe_p1..probe_p10
references/rule-catalog.tsv45 rules from cli-for-agents, mapped to probes
references/workflow.mdDetailed probe-by-probe methodology, failure modes, extension guide
gotchas.mdKnown edge cases discovered during use
config.jsonVerb classifier lists and default timeout

Related Skills

  • cli-for-agents - the 45-rule design catalog this skill audits against. Read rule files there when the report flags an issue and you need the full explanation.

平台分布

Codex

36.25%
按下载量换算169

Claude

29.58%
按下载量换算138

Cursor

19.06%
按下载量换算89

Gemini CLI

9.42%
按下载量换算44

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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 npx skills add https://github.com/pproenca/dot-skills --skill cli-review-runner 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。目前只有一个公开来源,建议同时核对源仓库。

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