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.
60
71%
Does it follow best practices?
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Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./config/.claude/skills/cloudbase-code-review/SKILL.mdThe canonical home for this skill is cloudbase-code-review in TencentCloudBase/CloudBase-AI-Toolkit
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Skill runtime “LLM review” and optional lint operate by reading the user’s project files under `--project-dir` using `fs` (file system source code content authored/controlled by the provider user), so it ingests outsider-authored free text via those files at runtime.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.