agentsclimarketplace

Cloudbase code review

Skill aiskillstore/marketplace/skills/tencentcloudbase/cloudbase-code-review

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.From its SKILL.md

Install
npx -y skills add aiskillstore/marketplace --skill cloudbase-code-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

3.7 KB, 799 tokens by cl100k_base, as published. Nobody here has run it

Standalone Install Note

If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.

  • CloudBase main entry: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md
  • Current skill raw source: https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-code-review/SKILL.md

Keep local references/... paths for files that ship with the current skill directory. When this file points to a sibling skill, use the standalone fallback URL shown next to that reference.

CloudBase Code Review

One-liner: After implementing CloudBase features, call this skill to catch common mistakes before the grader does.

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

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

Do not promote a single failed run or case-specific workaround into a hard rule. A rule should be backed by stable SDK/API documentation, repeated failures, or deterministic runtime behavior. Case-specific observations belong in attribution reports; only broadly applicable constraints should enter RULES_INDEX.md or the optional lint checklist.

Quick start

# Step 1: Read relevant rules for identified modules
#   references/rules/cross-cutting/AUTH001.md
#   references/rules/postgresql/PG-CR001.md
#   ...

# Optional: if the user approves running lint, review the script code block in
# references/lint-rules/README.md, copy it to a temporary cloudbase-lint.mjs,
# then run: node cloudbase-lint.mjs --project-dir .

# Step 2: For each applicable rule, read the "LLM 检查" section
#         and manually inspect your code before claiming done.

Rule format

Each rule .md file follows this structure:

# RULE-ID Rule Name

- **Module**: which module (auth / postgresql / storage / ...)
- **Severity**: error | warning
- **Stage**: code-generation | deployment | config

## 正则检查 (Lint)

The condition checked by the optional script code block in `references/lint-rules/README.md`.

## LLM 检查

Semantic review prompt for human or LLM to evaluate.

## 修复指引

How to fix the issue.

What ships with it: 11 files

124.5 KB alongside SKILL.md

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