convex-reviewer SKILL.md skillA
convex-reviewer from openclaw/clawhub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add openclaw/clawhub/convex-reviewer@git:20260805.9009eaePins git:20260805.9009eae in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- openclaw/clawhub
- Path
.agents/skills/convex-reviewer/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260805.9009eae, committed Aug 5, 2026
- Size
- 1,761 bytes
- Repository stars
- 9,549
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
<!-- 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 …
Read the whole file at its exact version.
How to install
mdr add openclaw/clawhub/convex-reviewer@sha256:210fca59f179cc50The line at the top of this page pins the label git:20260805.9009eae, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ucevxn7kgxc4nxlv)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1761 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
openclaw/clawhub · 9,549 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ucevxn7kgxc4nxlv GET https://markdownregistry.com/api/v1/resolve?ref=openclaw/clawhub/convex-reviewer GET https://markdownregistry.com/api/v1/blob/210fca59f179cc50cbb1ff03396f870076b6fbd8133238d217b60e6e3b8f55f5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.