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.
npx agentmods add instructions/denyherianto/gitlab-ai-code-review/claude-mdgit clone --depth 1 https://github.com/denyherianto/gitlab-ai-code-reviewWrote 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.
[](https://agentmods.dev/instructions/denyherianto/gitlab-ai-code-review/claude-md)<a href="https://agentmods.dev/instructions/denyherianto/gitlab-ai-code-review/claude-md"><img src="https://agentmods.dev/badge/instructions/denyherianto/gitlab-ai-code-review/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00918 | $0.00918 |
| Opus 5 | $0.00459 | $0.00459 |
| Sonnet 5 | $0.00184 | $0.00184 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
gitlab-ai-code-review CLAUDE.md scanned grade A with 1 finding 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 5d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
**Zero external runtime dependencies** — only uses Node.js built-in modules (`https`, `child_process`, `fs`, `path`, `os`, `url`) plus TypeScript for compilation. How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Niteni is an AI-powered code review tool for GitLab CI pipelines, powered by Google's Gemini API. The name comes from Javanese, meaning "to observe carefully." It posts inline diff comments with suggestions directly on GitLab merge requests.
Zero external runtime dependencies — only uses Node.js built-in modules (https, child_process, fs, path, os, url) plus TypeScript for compilation.
Commands
npm run build # Compile TypeScript (tsc)
npm run dev # Watch mode compilation
npm run lint # ESLint on src/
npm run test # Node built-in test runner (dist/**/*.test.js) — build first
npm run review:simulate # Run simulation mode with mock data (needs ts-node)
npm run simulate # Run simulation from compiled output
Tests use Node's built-in node:test and node:assert modules. Run npm run build && npm test to compile and execute tests from dist/**/*.test.js.
Architecture
src/
├── cli.ts # CLI entry point — three modes: mr, diff, simulate
├── index.ts # Main orchestration: runMergeRequestReview() & runDiffReview()
├── reviewer.ts # Gemini review logic with structured JSON output
├── gitlab-api.ts # GitLab REST API client (MR data, inline comments, cleanup)
├── config.ts # Environment variable parsing & validation
├── simulate.ts # Self-contained demo with ANSI-colored mock output
└── types/
├── index.ts # Barrel export
├── config.ts # AppConfig, GitLabConfig, GeminiConfig, ReviewConfig
├── gitlab.ts # MergeRequest, DiffPosition, MergeRequestNote
└── reviewer.ts # Severity, Finding, StructuredReviewResponse, ReviewResult, FilterOptions
Gemini Structured Output (reviewer.ts)
The Reviewer class uses the Gemini REST API with structured output (responseMimeType: "application/json" + responseSchema) to return typed StructuredReviewResponse objects directly — no regex parsing needed. The response schema enforces summary (string) and findings (array of Finding objects with severity, file, line, description, optional suggestion/rationale).
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.
- 5d ago First seen · 76 lines · 918 tokens per session scan A 746d976c8ff6
gitlab-ai-code-review CLAUDE.md is an instructions file published in the GitHub repository denyherianto/gitlab-ai-code-review (19 stars, last pushed 6mo ago), licensed MIT. It adds 918 tokens to every session, about $0.0046 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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