MCPInstall

cli-self-check

检测新合并到 te-cli 的 CLI 功能是否合理。从命令注册、业务域↔skill 配对、skill 文档覆盖、skill 内部一致性、用户文档同步、工程健壮性六个维度扫描,定位会导致命令加载失败、AI agent 读空文档瞎猜参数、用户文档滞后等问题。当合并了新命令域/命令、新增或修改 skill、做发版前自检、或需要评估 CLI 功能完整性时使用。

Installs
852
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/thinkingaiagenticengine/ae-cli --skill cli-self-check
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads cli-self-check automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

cli-self-check

te-cli 的「新功能合理性」自检 skill。把一次人工 code review 中反复用到的结构化检查固化成可重复执行的脚本 + 判读规则。

何时用

  • 合并了新的命令域(src/commands/te-*)或新命令
  • 新增 / 修改了 skills/ 下的 skill
  • 发版前自检、或评估某分支 CLI 功能是否「做完整了」

怎么跑

# 全量扫描(推荐发版前用)
node self-check/scan.mjs

# 只看相对某分支的变更域(推荐合并/提 PR 后用,聚焦本次改动)
node self-check/scan.mjs --since master

# 机器可读,便于接 CI
node self-check/scan.mjs --json

退出码:存在 P1 时返回 1,否则 0,可直接用于 CI 卡口。

脚本是纯 Node、零新依赖、只读不改仓库。判读和修复由你(agent)依据下方规则完成——脚本负责「发现」,你负责「确认 + 修」。

六个检测维度

维度名称查什么漏了会怎样
D1命令注册新域是否在 src/index.ts 注册;MCP service 是否注册了 mapping命令根本不加载;buildMcpUrl 运行时抛错
D2域↔skill 配对每个业务域是否有对应 skill;工具命令不应有 skillagent 不知道怎么用新命令
D3skill 文档覆盖命令 ↔ references/*.md 是否一一对应agent 缺命令文档,被迫猜参数
D4skill 内部一致性CRITICAL 规则「+cmd→cmd.md」是否与真实文件名相符;SKILL.md 内链接是否失效agent 按规则去读文档却读空,瞎猜 ID/参数
D5文档同步README(中/英)是否覆盖所有 service;版本号 vs CHANGELOG用户照 README 用,以为新功能不存在
D6工程健壮性每个域是否有 verify 脚本;是否接入 tsc --noEmit回归无自动拦截;类型错误只在 build 暴露

严重度与处理原则

  • 🔴 P1(阻断):会导致命令加载失败、或 agent 行为出错(读空文档→瞎猜)。必须改,CI 应卡。
  • 🟡 P2(面向用户/agent 的明显偏差):文档缺失/滞后、失效链接。发版前应改。
  • 🟢 P3(工程健壮性):verify/typecheck 缺口,风格不统一。择期补,不阻断发版。
  • ℹ️ info:符合约定的确认项(如工具命令无 skill),无需处理。

各维度判读 + 修复指引

D1 命令注册

  • 「域未在 src/index.ts 注册」:在 src/index.ts 的 loadCommands()(业务域)或 registerXxxCommand()(工具命令)补上 import('./commands/<dir>/index.js')。
  • 「MCP service 未注册 mapping」:在仍使用 MCP transport 的域 index.ts 顶部调 registerMcpMappings({ '<service>': { componentName, mappingPath } })(参考 te-community/index.ts)。Analysis 域只允许 Capability Gateway,不应注册 MCP mapping。
  • 注意区分两种 "service":commander 分组名(如 engage)≠ MCP 路由 key(如 engage_config)。脚本只检查后者,且只提取字面量传参;变量传参不报(宁可漏报不误报)。

D2 域↔skill 配对

  • 约定:业务域配 skill,工具命令(交互式/运维)不配。sync、model、auth、config、api 无 skill 是正确的。
  • 若新增业务域,需在 scan.mjs 顶部 DOMAIN_TO_SKILL 里登记映射;新增工具命令登记到 TOOL_DIRS。漏登记会被报 P2,提醒你补映射或确认归类。

D3 skill 文档覆盖

  • 判定用「归一化 + 包含」匹配,能识别 create-team.md 覆盖 +create,所以这里报的是真·缺文档。
  • 修法:在对应 skill 的 references/ 补 .md,并在 SKILL.md 命令清单里挂上链接。
  • 采用「分组/内联文档」策略的 skill(ae-dataops、ae-kb)在 GROUPED_DOC_SKILLS 中豁免逐命令检查——若新 skill 也走这种策略,加进去。

D4 skill 内部一致性(最易出 P1)

  • 规则矛盾:SKILL.md 顶部若写「reference filename equals the command name(+cmd → references/cmd.md)」,则每个命令都必须有严格同名文件。若 +list 的文档叫 list-teams.md,agent 会去读不存在的 list.md。
    • 两种修法(择一):① 把文件重命名为与命令严格同名(list.md)——推荐,规则最自洽;② 改写顶部规则为「以下方命令清单中的链接为准」,删掉「filename = command name」的断言。
  • 失效链接:SKILL.md 里 references/xxx.md 指向的文件不存在——补文件或修链接。

D5 文档同步

  • 新域/新命令要同步进 README.md 和 README.zh.md 的命令表。
  • 发版时版本号要在 CHANGELOG.md 有对应条目。

D6 工程健壮性

  • 新域建议补一个 scripts/verify-te-<domain>.mjs(参考现有 verify-te-analysis-tools.mjs:遍历命令源码并校验注册、flag、description 和文档契约),并在 package.json 加 verify:<domain> 脚本。
  • 建议加 "typecheck": "tsc --noEmit",把类型检查从 build 前移。

维护脚本

scan.mjs 顶部有可调配置,新增模块时按需更新:

  • DOMAIN_TO_SKILL:业务域目录 → skill 名映射
  • COMMAND_SKILL_OVERRIDES:同一命令域内由 overlay skill 负责的命令路径 → skill 名映射
  • TOOL_DIRS:工具命令目录(豁免 skill 检查)
  • GROUPED_DOC_SKILLS:走分组/内联文档策略的 skill(豁免逐命令 reference 检查)

判读哲学:脚本只报「值得人看一眼」的线索,确认与修复由 agent 结合源码做。新增检测维度时,优先保证零误报——一个假 P1 比漏报更伤工具可信度。

FAQ

What does the cli-self-check skill do?

检测新合并到 te-cli 的 CLI 功能是否合理。从命令注册、业务域↔skill 配对、skill 文档覆盖、skill 内部一致性、用户文档同步、工程健壮性六个维度扫描,定位会导致命令加载失败、AI agent 读空文档瞎猜参数、用户文档滞后等问题。当合并了新命令域/命令、新增或修改 skill、做发版前自检、或需要评估 CLI 功能完整性时使用。

How do I install cli-self-check?

Run npx skills add https://github.com/thinkingaiagenticengine/ae-cli --skill cli-self-check in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/cli-self-check/ (personal) or .claude/skills/cli-self-check/ (project).

Which AI agents can use cli-self-check?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is cli-self-check safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains cli-self-check?

It is published by thinkingaiagenticengine in thinkingaiagenticengine/ae-cli. It has 852 recorded installs.

More from thinkingaiagenticengine/ae-cli

View all →

ae-analysis

thinkingaiagenticengine/ae-cli

Use ae-cli for AE analysis-side data questions, asset operations, and asset governance: reports, analysis boards, BI dashboards, ad-hoc models, drilldown, detail data, alerts, clusters, tags, metrics, metadata discovery, project configuration, tracking plans, local input-file upload, governance asset lists/rules/lineage/impact/dependency, batch asset operations, projects, and resource links. Use when the user asks to query data, explain a change, export evidence, inspect/create/update/govern analysis assets, recommend project assets for certification/authentication, review asset-certification recommendations, review metric recommendations, or build/update/refresh/sync a project semantic knowledge base from a governed asset package.

ae-engage

thinkingaiagenticengine/ae-cli

AE Engage capability gateway: config center, flows, push/config channels, strategies, templates, task management, operation activities, and query lifecycle. Trigger words: config center, scene config, push channel, config channel, operation strategy, operation task, operation activity, query lifecycle, template, config item, Engage, Hermes, engage-scene, engage-setting, engage-flow, engage-task, engage-activity, engage-query.

ae-dataops

thinkingaiagenticengine/ae-cli

Use ae-cli for DataOps warehouse tables/views and fields, recycling, workflow configuration and release, execution troubleshooting, backfill, SQL queries, and data integration.

Data & Databases870 installs

ae-community

thinkingaiagenticengine/ae-cli

AE community analysis and data reporting for posts, comments, topics, livestreams, customer-service chats, WeCom after-sales groups, and in-game chat. Use for community content insight, sentiment, intent, evidence drill-down, community data ingestion/import/submission, and WeCom chat data integration (社区数据上报、导入、提交社区数据、企微聊天数据接入).

Media & Creative865 installs

ae-agent

thinkingaiagenticengine/ae-cli

AE Agent platform CLI for Agent, resource package import and export, notification, approval, archived conversation, model, MCP, Skill, attachment, and user-memory work. Use when managing these resources, browsing Agent markets, handling approval requests and tasks, restoring archived conversations, persisting user memory, or answering from user preferences, background, stable workflows, or historical conventions.

AI & Agents854 installs

ae-kb

thinkingaiagenticengine/ae-cli

AE knowledge base CLI manual for creating, importing read-only compiled snapshots, querying, LLM-powered ask, listing accessible knowledge bases and their sources, deterministic index/grep/read retrieval, checking status, ZIP source upload and directory management, raw child-file reading, revision-checked child updates and deletion, compiling, schema generation, URL sources, source deletion, ordinary text source creation, full reads and revision-checked editing, file/ZIP source draft replacement and restoration, and knowledge base deletion. Use when the user asks to manage AE (Agentic Engine) knowledge bases, import a compiled Markdown ZIP snapshot, upload documents or URLs to a knowledge base, query knowledge, ask knowledge bases with an LLM, list accessible knowledge bases or source metadata, inspect knowledge base indexes, search knowledge base pages, read a specific knowledge base page, check knowledge base status, generate schemas, compile knowledge, remove sources, create or edit

AI & Agents853 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs