ai-code-reviewer AGENTS.md

ai-code-reviewer AGENTS.md is an instructions file for Codex, OpenCode from jordanhubbard/ai-code-reviewer. It costs 1,213 tokens per session, scanned A, original, BSD-2-Clause.

Project instructions for an AI-based code reviewer that uses configurable review personas and workflows. A persona is a review profile, such as one focused on security or FreeBSD compatibility.

In plain words
What is it for?
Validating reviewer personas and running the reviewer once or continuously against a configured codebase.
Why use it?
They explain where review behavior, build commands, and rewrite rules belong, avoiding assumptions hard-coded into the reviewer.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

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 instructions/jordanhubbard/ai-code-reviewer/agents-md
Clone the repo
git clone --depth 1 https://github.com/jordanhubbard/ai-code-reviewer

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/jordanhubbard/ai-code-reviewer/agents-md.svg)](https://agentmods.dev/instructions/jordanhubbard/ai-code-reviewer/agents-md)
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<a href="https://agentmods.dev/instructions/jordanhubbard/ai-code-reviewer/agents-md"><img src="https://agentmods.dev/badge/instructions/jordanhubbard/ai-code-reviewer/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,213 This file is loaded in full into every session.
When invoked 1,213 The same file — it is already loaded in full.
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 5.1 $0.01213 $0.01213
Opus 5 $0.00607 $0.00607
Sonnet 5 $0.00243 $0.00243
Haiku 4.5 $0.00121 $0.00121

Measured 6d ago against content hash e0bb4a02f3d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ai-code-reviewer AGENTS.md 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 6d 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.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Code Reviewer - Agent Instructions

This repository is an AI-powered code review and rewrite tool. The core design is data-driven:

  • Agent behavior lives in personas/<agent-name>/agent.yaml using Oracle Agent Spec format.
  • Workflow behavior is configured in config.yaml.
  • Build validation is configured with source.build_command.
  • Rewrite acceptance belongs in review.rewrite.contract, not hard-coded language, OS, or build-tool assumptions in the runner.

Quick Start

Validate an agent:

python3 persona_validator.py personas/security-hawk

Run the reviewer:

cp config.yaml.sample config.yaml
# Edit config.yaml: set source.root, source.build_command, review.workflow, review.persona
python3 reviewer.py --config config.yaml

Run forever mode:

python3 reviewer.py --config config.yaml --forever

Available Agents

Load agent configuration from personas/<agent-name>/agent.yaml.

Agent Focus Use When
freebsd-angry-ai Security, style(9), POSIX FreeBSD-oriented production audits
freebsd-rust-rewriter C/C++ to Rust, FreeBSD build integration FreeBSD-specific rewrite persona
security-hawk Vulnerabilities, exploits Security audits and penetration-test style review
performance-cop Speed, algorithms, cache Performance optimization
friendly-mentor Learning, best practices Training, onboarding, open source
example Balanced, educational General code review

Workflow Modes

review.workflow controls runner protocol and metadata files:

  • review uses REVIEW-INDEX.md and REVIEW-SUMMARY.md for audits and fixes.
  • rewrite uses REWRITE-INDEX.md and REWRITE-SUMMARY.md for scoped source transformations such as refactors, API migrations, decomposition, simplification, hardening rewrites, or translations.

Personas provide project-specific taste and instructions. Do not add language-specific rewrite policy to reviewer.py when the requirement can live in the persona or review.rewrite.contract.

Read the full file on GitHub · 164 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. 6d ago First seen · 164 lines · 1,213 tokens per session scan A e0bb4a02f3d8

Subscribe to this mod's changes

ai-code-reviewer AGENTS.md is an instructions file published in the GitHub repository jordanhubbard/ai-code-reviewer (44 stars, last pushed 3mo ago), licensed BSD-2-Clause. It adds 1,213 tokens to every session, about $0.0061 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.

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