convex-reviewer

convex-reviewer is a skill for Claude Code, Codex from openclaw/clawhub. It costs 40 tokens per session (364 once invoked), scanned A, original, MIT.

A code-review checklist for Convex backend code, covering access control, input checks, database queries, performance, and code quality.

In plain words
What is it for?
Use it to audit files in a convex/ directory and receive findings grouped by severity with suggested fixes.
Why use it?
It helps find security risks, inefficient database access, and missing validation before the backend is released.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to audit files in a convex/ directory and receive findings grouped by severity with suggested fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaw/clawhub/convex-reviewer
About the project

ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.

openclaw/clawhub · 9,407 stars · on GitHub · clawhub.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add openclaw/clawhub --skill convex-reviewer
Clone the repo
git clone --depth 1 https://github.com/openclaw/clawhub

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for convex-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaw/clawhub/convex-reviewer/github.svg)](https://agentmods.dev/skills/openclaw/clawhub/convex-reviewer)
Your own site
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-reviewer"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for convex-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaw/clawhub/convex-reviewer"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/convex-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 364 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 15
    Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.
    Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00364
Opus 5 $0.00020 $0.00182
Sonnet 5 $0.00008 $0.00073
Haiku 4.5 $0.00004 $0.00036

Measured 10d ago against content hash 210fca59f179, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

convex-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/convex-reviewer/SKILL.md · 27 lines

What it actually says

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.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 27 lines · 40 tokens per session scan A 210fca59f179

Subscribe to this mod's changes

convex-reviewer is a skill published in the GitHub repository openclaw/clawhub (9,407 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 364 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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