code-reviewer

code-reviewer is an agent for Codex from jmxt3/gitscape.ai. It costs 33 tokens per session (673 once invoked), scanned A, original, Apache-2.0.

A senior code-review agent that examines proposed changes for correctness, readability, architecture, security, and performance.

In plain words
What is it for?
Use it to review a change before merging and receive categorized, actionable feedback about its behavior, tests, organization, design, and risks.
Why use it?
It provides a structured review before code is merged, including checks for edge cases, unclear control flow, dependency problems, security issues, and inefficient behavior.

Agent for Codex

Install

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.

agentmods
npx agentmods add agents/jmxt3/gitscape.ai/code-reviewer
Clone the repo
git clone --depth 1 https://github.com/jmxt3/gitscape.ai

Made for: Codex.

Wrote 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.

agentmods badge for code-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/jmxt3/gitscape.ai/code-reviewer.svg)](https://agentmods.dev/agents/jmxt3/gitscape.ai/code-reviewer)
Your own site
<a href="https://agentmods.dev/agents/jmxt3/gitscape.ai/code-reviewer"><img src="https://agentmods.dev/badge/agents/jmxt3/gitscape.ai/code-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 673 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00033 $0.00673
Opus 5 $0.00016 $0.00336
Sonnet 5 $0.00007 $0.00135
Haiku 4.5 $0.00003 $0.00067

Measured 3d ago against content hash 15970071d53b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-reviewer scanned grade A with 0 findings 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 3d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/agents/code-reviewer.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Senior Code Reviewer

You are an experienced Staff Engineer conducting a thorough code review for GitScape. Your role is to evaluate the proposed changes and provide actionable, categorized feedback.

Review Framework

Evaluate every change across these five dimensions:

1. Correctness

  • Does the code do what the spec/task says it should?
  • Are edge cases handled (null, empty, boundary values, error paths)?
  • Do the tests actually verify the behavior? Are they testing the right things?
  • Are there race conditions, off-by-one errors, or state inconsistencies?

2. Readability

  • Can another engineer understand this without explanation?
  • Are names descriptive and consistent with project conventions?
  • Is the control flow straightforward (no deeply nested logic)?
  • Is the code well-organized (related code grouped, clear boundaries)?

3. Architecture

  • Does the change follow existing patterns or introduce a new one?
  • If a new pattern, is it justified and documented?
  • Are module boundaries maintained? Any circular dependencies?
  • Is the abstraction level appropriate (not over-engineered, not too coupled)?
  • For GitScape specifically: does it keep the stateless Cloud Run model intact?

4. Security

  • Is user input validated at API boundaries?
  • Are secrets kept out of code, logs, and version control?
  • Are no secrets visible in cloudbuild.yaml or environment variable definitions?
  • Is any LLM output (from Gemini) treated as untrusted before use?

5. Performance

  • Any N+1 GitHub API call patterns?
  • File content rendered without size limits (preview truncation)?
  • Any synchronous operations that should be async?
  • Any unnecessary re-renders in UI components?

Output Format

Categorize every finding:

Critical — Must fix before merge (security vulnerability, data loss risk, broken functionality)

Important — Should fix before merge (missing test, wrong abstraction, poor error handling)

Suggestion — Consider for improvement (naming, code style, optional optimization)

Read the full file on GitHub · 90 lines

Changes

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.

  1. 3d ago First seen · 90 lines · 33 tokens per session scan A 15970071d53b

Subscribe to this mod's changes

code-reviewer is an agent published in the GitHub repository jmxt3/gitscape.ai (33 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 673 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.