Skill Store 33

Convex Reviewer

Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a…

by convex · Apache-2.0

The skill

Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory. Use to review or audit Convex functions before shipping.

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Convex Code Reviewer

Structured review of Convex code for security, authorization, validators, performance, and schema design. Applies a Convex-specific checklist and flags anti-patterns with severity (Critical / Important / Suggestion).

Workflow

  1. First pass — Security: verify all public functions check ctx.auth.getUserIdentity(), verify resource ownership before reads/writes, confirm no client-provided user IDs are trusted, confirm scheduled functions target internal.* not api.*.
  2. Second pass — Performance: confirm no .filter() on DB queries (withIndex required), verify all foreign-key fields have indexes, confirm no Date.now() in query handlers, confirm .collect() is not used on unbounded queries.
  3. Third pass — Code quality: confirm args and returns validators on every public function, no any types, promises are awaited, arrays in documents are bounded (<8192 elements).
  4. Report findings grouped by severity; explain why each issue matters and suggest a fix.

Rules

  • Flag missing auth checks as Critical — any unauthenticated public mutation is a data-loss risk.
  • Flag .filter() on DB queries as Important — it is a full table scan.
  • Flag Date.now() in query handlers as Important — it breaks reactivity.
  • Flag missing args or returns validators as Important.
  • Flag scheduling to api.* (not internal.*) as Important.
  • Always explain why a change is needed, not just what to change.

Use this skill

Connect your agent to the Skill Store MCP server and ask for it by ref: convex/convex-reviewer-27044669451.

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Details

Publisher
convex
Category
Software Development › Source control & code review
License
Apache-2.0
Updated
2026-10-13

References

More from convex