convex-performance-audit
Audit Convex Performance Bottlenecks
Slow Convex features waste reads, trigger broad invalidations, and hide contention. This skill guides Claude, Codex, and Claude Code through targeted performance audits.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "convex-performance-audit" from https://skillstore.io/skills/get-convex-convex-performance-audit.md and its manifest at https://skillstore.io/api/skills/get-convex-convex-performance-audit/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "convex-performance-audit". A project list loads slowly and reads many documents.
Expected outcome:
- The audit identifies an unbounded list read and missing storage-side filtering.
- It recommends an index-backed query, smaller return shape, and sibling list review.
- Verification includes equal results and lower documents read in Convex insights.
Using "convex-performance-audit". A dashboard feels sluggish after users scroll through several pages.
Expected outcome:
- The review separates backend subscription cost from UI churn.
- It suggests limiting live pages or using point-in-time fetching where freshness is low.
- Verification checks subscription count, render frequency, and user-visible behavior.
Using "convex-performance-audit". Mutations show OCC conflicts during busy voting periods.
Expected outcome:
- The audit finds a hot counter document and competing writes.
- It recommends sharding the counter or scheduling non-critical bookkeeping.
- Verification checks conflict rate, latency, and data correctness.
Security Audit
SafeMost static findings are false positives from Markdown code spans and Convex ctx.db examples. Two findings are confirmed because the skill instructs agents to run npx Convex CLI diagnostics, including an @latest fallback. No prompt injection, credential exfiltration intent, or malicious network behavior was found.
Capability review items (2)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
โ๏ธ External commands (17)
๐ Network access (1)
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APA citation
get-convex. (2026). convex-performance-audit security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/get-convex-convex-performance-audit/audits/7BibTeX citation
@techreport{get-convex-get-convex-convex-performance-audit-2026,
author = {get-convex},
title = {convex-performance-audit security audit report (audit version 7)},
institution = {Skillstore},
year = {2026},
number = {7},
url = {https://skillstore.io/skills/get-convex-convex-performance-audit/audits/7},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "convex-performance-audit security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
- name: "get-convex"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/get-convex-convex-performance-audit/audits/7"
identifiers:
- type: other
value: "skillstore:get-convex-convex-performance-audit:audit:7"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Reduce Slow Query Cost
Find unbounded reads, missing indexes, large row shapes, and unnecessary joins on a hot Convex path.
Improve Reactive UI Performance
Review subscriptions, query granularity, and invalidation patterns that cause sluggish Convex screens.
Investigate Contention and Limits
Analyze OCC conflicts, large mutations, function timeouts, and transaction budget pressure.
Try These Prompts
Audit this Convex feature for performance. Start from the slow user flow. Identify expensive reads, writes, and verification steps.
Review this page for unnecessary Convex subscriptions. Compare live freshness needs with point-in-time reads. Suggest focused changes and tests.
Analyze these Convex mutations for OCC conflicts. Find hot documents, broad read sets, no-op writes, and safe scheduling opportunities.
Create a Convex performance refactor plan across these related functions. Include migration risks, sibling paths, rollout order, and verification criteria.
Best Practices
- Start with measured signals before proposing structural changes.
- Trace sibling readers and writers that touch the same tables.
- Verify behavior and performance after every optimization.
Avoid
- Do not replace simple scans when the table is small and the signal is weak.
- Do not add digest tables without a hot path or large row shape.
- Do not switch reactive views to point-in-time reads when live freshness matters.
Frequently Asked Questions
Does this skill run Convex commands automatically?
Can it fix every performance problem?
Does it require production access?
Will it recommend migrations?
Is it useful for new Convex projects?
Which tools can use this skill?
Developer Details
Author
get-convexLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
3e4b6c31a74a3bd1a291c98cf585d720cb9fbc88
Maintenance freshness
7/18/2026
Usage
3 downloads ยท 120 views
File structure
๐ agents/
๐ openai.yaml
๐ assets/
๐ icon.svg
๐ references/
๐ function-budget.md
๐ hot-path-rules.md
๐ occ-conflicts.md
๐ subscription-cost.md
๐ SKILL.md