OpenAI-Gitlab-PR-Review: Prototype Gitlab Webook that submits code to OpenAI for review

by nfacha · Agent Tool · ★ 94

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aichatgptcodereviewgitlabopenai

Quick Facts

Stars94
Forks20
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score71/100
Last Updated2024-05-18
Created2023-04-11
Platformsbrowser, docker, python
Est. Tokens~2k

About OpenAI-Gitlab-PR-Review

AI Code Reviewer AI Code Reviewer is a Python script that leverages OpenAI's GPT-3.5-turbo to automatically review code changes in GitLab repositories. It listens for merge request and push events, fetches the associated code changes, and provides feedback on the changes in a Markdown format.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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