openqodex

Skill · GitHub · ★ 1k · graded 2026-10-27Source linked

Open source AI code review for coding agents. A separate reviewer checks every change your agent writes before you push, in Claude Code, Codex, Cursor and Cline. No account or key of its own.

No outside reports on file

OpenQodex reviews AI-generated code but cannot guarantee all problems are caught; always pair it with manual code review and never skip security checks just because an automated tool approved the changes.

Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsRequires API key or tokenREVIEW
  • Package sourceGitHub (openqodex/openqodex)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/openqodex/openqodex ↗

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-27.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Openqodex

OpenQodex is an open-source tool that reviews code changes made by AI agents before they get pushed to your repository. It acts as a gatekeeper, checking the agent's work in tools like Claude, Codex, Cursor, and Cline to catch mistakes or problems before deployment.

Who it’s for

Developers who use AI coding agents and want an extra layer of safety to review changes automatically. Teams that need to verify AI-generated code before it enters their codebase.

Alternatives

  • Conventional code review: Manual peer review by team members (slower but human judgment).
  • GitHub Code Scanning: Built-in security scanning for repositories to catch common vulnerabilities.
  • Semgrep: Open-source static analysis tool that finds bugs and security issues before code ships.
  • SonarQube: Comprehensive code quality platform that catches bugs, vulnerabilities, and code smells.

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README on GitHub (https://github.com/openqodex/openqodex (opens external site)) for installation and integration steps with your specific AI coding environment.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

33/100
GitHub stars
1k
Listing last refreshed
2026-10-30

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Code access: The tool reads all code your AI agent writes, so sensitive logic or secrets in generated code could be exposed.
  • False confidence: A review tool might miss real problems or create a false sense of security if developers stop manual review.
  • AI agent manipulation: An AI agent could be tricked into writing code that looks safe in review but contains hidden malicious behavior.
  • Dependency vulnerabilities: As an open-source project, it depends on other libraries that could have security flaws.
  • No authentication: Since it requires no API key or account, misconfigurations could allow unintended access to your code.

How to lower the risk

Least-privilege permissions

  • Run the tool with minimal access to only the code it needs to review.
  • Restrict which repositories or branches it can access.

Network isolation

  • Keep the review tool in a controlled environment, not exposed to the internet.
  • Log all code that passes through it in case you need to audit later.

Monitoring

  • Watch for unusual patterns in what code gets reviewed or approved.
  • Alert on any failed reviews or repeated rejections that suggest problems.

Red flags to watch for

  • A sudden jump in approved changes without corresponding code quality improvements.
  • Review tool failures or crashes that could let unsafe code slip through.

Questions

How do I install Openqodex?

Openqodex does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/openqodex/openqodex.

Are there security reports about Openqodex?

No reports found for this package in our research (last checked 2026-10-30). Openqodex currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include code access, false confidence, ai agent manipulation.

Is Openqodex actively maintained?

Openqodex has 1k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/openqodex/openqodex before pinning it in production.

What are alternatives to Openqodex?

Notable alternatives to Openqodex include Conventional code review (Manual peer review by team members (slower but human judgment)), GitHub Code review (Built-in security review for repositories to catch common vulnerabilities), Semgrep (Open-source static analysis tool that finds bugs and security issues before code ships), SonarQube (Comprehensive code quality platform that catches bugs, vulnerabilities, and code smells). You can also compare Openqodex side by side with other skills in the Related tools section on this page.

README badge and team notes

Maintain or use Openqodex? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Openqodex

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Openqodex](https://agentarmorhq.com/api/badge/openqodex-openqodex)](https://agentarmorhq.com/skills/openqodex-openqodex)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/openqodex-openqodex"><img src="https://agentarmorhq.com/api/badge/openqodex-openqodex" alt="AgentArmorHQ Risk Grade for Openqodex" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "openqodex-openqodex"

Share with your security lead

Need sign-off to use openqodex? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: openqodex
- **Listing URL:** https://agentarmorhq.com/skills/openqodex-openqodex
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** Requires API key or token
- **Package source:** GitHub (openqodex/openqodex)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/openqodex/openqodex
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
openqodex
Source code
github.com/openqodex/openqodex
Est. context load
~74 tokens idle · ~450 tokens when active (on-demand skill)
Popularity
1k GitHub stars
Last updated
2026-10-30
Last graded
2026-10-27

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