review-code-change

review-code-change is a skill for Codex from RyosukeSAMA/github-ai. It costs 38 tokens per session (235 once invoked), scanned A, original, MIT.

A code-review guide for examining a diff, patch, or pull request for defects, regressions, security risks, and missing tests. It focuses on behavior and failure cases rather than personal style preferences.

In plain words
What is it for?
Use it for pull-request reviews, patch checks, and pre-release quality checks, reporting findings by severity with affected components, failure scenarios, corrections, assumptions, and test gaps.
Why use it?
It gives reviewers a structured way to find problems that may break existing behavior, expose data, cause concurrency issues, or leave important cases untested.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for pull-request reviews, patch checks, and pre-release quality checks, reporting findings by severity with affected components, failure scenarios, corrections, assumptions, and test gaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ryosukesama/github-ai/review-code-change
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.

Any agent
npx skills add RyosukeSAMA/github-ai --skill review-code-change
Clone the repo
git clone --depth 1 https://github.com/RyosukeSAMA/github-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 review-code-change

README.md
[![agentmods](https://agentmods.dev/badge/skills/ryosukesama/github-ai/review-code-change/github.svg)](https://agentmods.dev/skills/ryosukesama/github-ai/review-code-change)
Your own site
<a href="https://agentmods.dev/skills/ryosukesama/github-ai/review-code-change"><img src="https://agentmods.dev/badge/skills/ryosukesama/github-ai/review-code-change/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-code-change

Your own site · 80×15
<a href="https://agentmods.dev/skills/ryosukesama/github-ai/review-code-change"><img src="https://agentmods.dev/badge/skills/ryosukesama/github-ai/review-code-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 235 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00038 $0.00235
Opus 5.5 $0.00015 $0.00094
Sonnet 5.5 $0.00008 $0.00047
Haiku 4.5 $0.00004 $0.00023

Measured 1mo ago against content hash 332a6c35d1cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-code-change 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 1mo 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.

pantheon/skills/review-code-change/SKILL.md · 28 lines

What it actually says

Review Code Change

Athena analyzes contracts and risk; Hephaestus validates implementation details.

Review Order

  1. Understand the intended behavior and the boundaries changed.
  2. Trace modified inputs through state changes, side effects, and outputs.
  3. Look for correctness defects, compatibility breaks, unsafe assumptions, security exposure, concurrency issues, and data-loss paths.
  4. Check whether tests cover the newly introduced behavior and important failures.
  5. Ignore purely stylistic preferences unless they hide a behavioral problem.

Output

Lead with findings ordered by severity. Each finding must name the affected file or component, explain the failure scenario, and propose a concrete correction. Then list open assumptions and test gaps. If there are no actionable findings, say so clearly and identify the remaining verification risk.

Do not invent line numbers, command results, or repository context that was not provided by a file, diff, connected tool, or prior task step.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 28 lines · 38 tokens per session scan A 332a6c35d1cb

Subscribe to this mod's changes

review-code-change is a skill published in the GitHub repository RyosukeSAMA/github-ai (5 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 235 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.