tencentcloudbase/cloudbase-ai-toolkit-cloudbase-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.
This is a copy. The original lives at tencentcloudbase/cloudbase-code-review.
npx skills add https://github.com/TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review
If this environment only installed the current skill, start from the CloudBase main entry and use the published cloudbase/references/... paths for sibling skills.
https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.mdhttps://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-code-review/SKILL.mdKeep 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.
> One-liner: After implementing CloudBase features, call this skill to catch common mistakes before the grader does.
Call this skill after completing a CloudBase implementation task, before declaring done:
The skill runs in two layers:
| Layer | Method | Speed | What 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> | Seconds | Deterministic regex checks — wrong API calls, missing configs, pattern mismatches |
| LLM review | Read each rule's "LLM 检查" section, inspect code semantically | Variable | Semantic issues — route guard logic, RLS completeness, architecture-level problems |
See references/RULES_INDEX.md for the full matrix (module × frontend type → applicable rules).
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.
# 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.
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.
All packaged reference files (required for skill lint reachability):
Take tencentcloudbase/cloudbase-ai-toolkit-cloudbase-cloudbase-code-review from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.