Agent skill

Convex Reviewer

by openclaw in openclaw/clawhub

Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory.

MITAuto-check passedDevelopment

Install Convex Reviewer

skills CLI
$ npx skills add openclaw/clawhub --skill convex-reviewer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openclaw/clawhub convex-reviewer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/convex-reviewer .claude/skills/convex-reviewer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
convex-reviewer
GitHub stars
9.5k
Token cost
~437 tokens
SKILL.md length
198 words
Files
1
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory.

  • Works in 4 steps: First pass — Security: verify all public… → Second pass — Performance: confirm no… → Third pass — Code quality: confirm args… → …
  • Audit Convex functions before shipping
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Convex Reviewer is an agent skill from openclaw/clawhub. 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.

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.

When your agent uses it

  • Audit Convex functions before shipping
  • Tasks that involve Code review

Example prompts

  • “/convex-reviewer”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. First pass — Security: verify all public functions check ctx.auth.getUserIdentity(), verify resource ownership before reads/writes…
  2. Second pass — Performance: confirm no .filter() on DB queries (withIndex required), verify all foreign-key fields have indexes, confirm no…
  3. Third pass — Code quality: confirm args and returns validators on every public function, no any types, promises are awaited, arrays in…
  4. Report findings grouped by severity; explain why each issue matters and suggest a fix.

What it can do on your machine

Read from SKILL.md and the folder at commit d044664. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Convex Reviewer loads about 437 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 198 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~437

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openclaw/clawhub at commit d044664, republished under its MIT licence (© openclaw). 198 words, ~437 tokens.

Download SKILL.mdSave it as .claude/skills/convex-reviewer/SKILL.md (or your agent's skills folder).
name
convex-reviewer
description
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.
<!-- GENERATED from convex-agents content/capabilities/convex-reviewer.json — do not edit by hand. -->

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.

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/convex-reviewer of openclaw/clawhub.

Open the folder on GitHubat commit d044664

Compare with similar skills

Convex Reviewer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Convex Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Convex Reviewer this skillopenclaw/clawhub9.5k—~437Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow155k—~3.5kAutomated safety check: NotesMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence

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Categories

Questions about Convex Reviewer

What does Convex Reviewer do?

Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory. Convex Reviewer is an agent skill from openclaw/clawhub. Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory.

When should I use Convex Reviewer?

Convex Reviewer fits situations like: audit Convex functions before shipping; tasks that involve Code review.

How do I install Convex Reviewer in Claude Code?

Run `npx skills add openclaw/clawhub --skill convex-reviewer -a claude-code`. Or copy the skill folder (.agents/skills/convex-reviewer in openclaw/clawhub) into .claude/skills/convex-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Convex Reviewer in Codex?

Run `npx skills add openclaw/clawhub --skill convex-reviewer -a codex`. Or copy the skill folder (.agents/skills/convex-reviewer in openclaw/clawhub) into .agents/skills/convex-reviewer in your project. Codex loads it when a task matches its description.

Can I use Convex Reviewer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/clawhub --skill convex-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convex-reviewer, .gemini/skills/convex-reviewer, .github/skills/convex-reviewer and .opencode/skills/convex-reviewer in your project.

What does Convex Reviewer need to run?

SKILL.md names no scripts, command-line tools or credentials: Convex Reviewer is instructions for the agent only.

Does Convex Reviewer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Convex Reviewer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Convex Reviewer use?

Convex Reviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Convex Reviewer use?

About 437 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Convex Reviewer?

Skills that share tags, products or a category with Convex Reviewer: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 155k stars) and Mole Bug Patterns (tw93/Mole, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Convex Reviewer?

openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,497 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on October 9, 2026.

Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.