code-review

code-review is a skill for Claude Code, Codex from nianyi778/jira-dev-mcp. It costs 28 tokens per session (3,018 once invoked), scanned A, original, MIT.

A code-review skill for checking repository changes, reviewing pull requests, and assessing code quality. A pull request is a proposed set of changes for others to review before merging.

In plain words
What is it for?
Use it to review the current branch against another branch, perform a self-review, or review a pull request by number.
Why use it?
It gives developers a defined process for finding problems in their own changes or in someone else’s proposed changes.

Skill for Claude CodeCodex

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 skills/nianyi778/jira-dev-mcp/code-review
Any agent
npx skills add nianyi778/jira-dev-mcp --skill code-review
Clone the repo
git clone --depth 1 https://github.com/nianyi778/jira-dev-mcp

Made for: Claude Code, 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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/nianyi778/jira-dev-mcp/code-review.svg)](https://agentmods.dev/skills/nianyi778/jira-dev-mcp/code-review)
Your own site
<a href="https://agentmods.dev/skills/nianyi778/jira-dev-mcp/code-review"><img src="https://agentmods.dev/badge/skills/nianyi778/jira-dev-mcp/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,018 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 $0.00028 $0.03018
Opus 5 $0.00014 $0.01509
Sonnet 5 $0.00006 $0.00604
Haiku 4.5 $0.00003 $0.00302

Measured 4d ago against content hash 465d942588a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-review 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 4d 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/skills/code-review/SKILL.md · 366 lines

How it starts

The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Skill

Comprehensive code review skill that combines PR review, self-review, and quality checks.

Usage

/code-review                # Self-review: current branch vs main
/code-review <branch>       # Self-review: current branch vs specified branch
/code-review pr <number>    # PR review: review the specified PR

The argument is available as $ARGUMENTS.

Argument Parsing

$ARGUMENTS parsing:
- Empty → Self-review mode (base=main)
- "pr <number>" → PR review mode (use gh pr diff)
- Otherwise → Self-review mode (base=specified branch)

Review Process

IMPORTANT: Use Serena MCP extensively to analyze code efficiently while minimizing token consumption.

CRITICAL: Before starting any code review, you MUST read and understand the implementation guidelines:

  • Read @~/.claude/templates/frontend-implementation-guidelines.md for frontend code reviews
  • Read @~/.claude/templates/backend-implementation-guidelines.md for backend code reviews
  • Apply the specific principles from these guidelines during your review

Step 1: Get Changes

For Self-Review (no args or branch name):

# Get current branch name
git branch --show-current

# Determine base branch (use main if $ARGUMENTS is empty, otherwise use $ARGUMENTS)
BASE_BRANCH=${ARGUMENTS:-main}

# Get list of changed files
git diff $BASE_BRANCH...HEAD --name-status

# Get commit history
git log $BASE_BRANCH..HEAD --oneline

# Get detailed diff
git diff $BASE_BRANCH...HEAD

For PR Review (pr <number>):

# Get PR information
gh pr view <number>

# Get PR diff
gh pr diff <number>

Step 2: Quality Check (All Files)

Perform quality checks on all changed files before detailed review:

Code Quality:

  1. Detect unused code (variables, parameters, functions, classes)
  2. Detect commented-out code blocks
  3. Detect unreachable code branches

Comment Quality:

  1. Detect progress/completion declarations ("implemented", "done", etc.)
  2. Detect date or version references in comments

Read the full file on GitHub · 366 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. 4d ago First seen · 366 lines · 28 tokens per session scan A 465d942588a3

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository nianyi778/jira-dev-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 3,018 once invoked, about $0.0001 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 2026-08-31.

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