Skills

Cloudbase Code Review

Code review and validation for CloudBase projects.

Install

npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -g -a claude-code -y
Category
Data and ML
Updated
3d ago
License
MIT
Context cost
Lightabout 1,005 tokens
Runs scripts
No, instructions only

What it does

Code review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls, auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse. Supports automated lint scripts (regex-based) + LLM semantic review.

Sibling skills (local only)

Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.

If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.

CloudBase Code Review

One-liner: After implementing CloudBase features, call this skill to catch common mistakes before users do.

When to use

Call this skill after completing a CloudBase implementation task, before declaring done:

  • You implemented auth (login / register / route guard)
  • You created database tables or wrote CRUD (NoSQL / PostgreSQL / MySQL)
  • You set up CloudBase Storage (file upload, hosting)
  • You configured security rules or RLS policies
  • You wrote MCP-dependent code
  • You wrote Cloud Function or CloudRun HTTP handlers (check for credential / header echo leaks)

How it works

The skill runs in two layers:

LayerMethodSpeedWhat it catches
Lint (optional)No executable script is shipped. If the user approves running lint, review the code block in references/lint-rules/README.md, copy it to a temporary local cloudbase-lint.mjs, then run node cloudbase-lint.mjs --project-dir <path>SecondsDeterministic regex checks, wrong API calls, missing configs, pattern mismatches
LLM reviewRead each rule's "LLM 检查" section, inspect code semanticallyVariableSemantic issues, route guard logic, RLS completeness, architecture-level problems

Rule index

See references/RULES_INDEX.md for the full matrix (module × frontend type → applicable rules).

Rule boundary

Read the whole SKILL.md on GitHub

More in Data and ML