deep-code-review

deep-code-review is a skill for Claude Code, Codex from subhansh-dev/agent-maxxing. It costs 24 tokens per session (921 once invoked), scanned A, original, MIT.

A structured review of code changes from eight different angles. It examines the diff and surrounding functions for bugs, unsafe assumptions, and likely failure cases.

In plain words
What is it for?
Use it to review a branch, commit, or working-tree diff and produce findings with locations and failure scenarios.
Why use it?
A quick review may miss problems in unchanged lines or unusual inputs; this method broadens the search for real defects.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

Good fit Use it to review a branch, commit, or working-tree diff and produce findings with locations and failure scenarios.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/subhansh-dev/agent-maxxing/deep-code-review
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 subhansh-dev/agent-maxxing --skill deep-code-review
Clone the repo
git clone --depth 1 https://github.com/subhansh-dev/agent-maxxing

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 deep-code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/deep-code-review/github.svg)](https://agentmods.dev/skills/subhansh-dev/agent-maxxing/deep-code-review)
Your own site
<a href="https://agentmods.dev/skills/subhansh-dev/agent-maxxing/deep-code-review"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/deep-code-review/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 deep-code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/subhansh-dev/agent-maxxing/deep-code-review"><img src="https://agentmods.dev/badge/skills/subhansh-dev/agent-maxxing/deep-code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 921 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 $0.00024 $0.00921
Opus 5.5 $0.00010 $0.00368
Sonnet 5.5 $0.00005 $0.00184
Haiku 4.5 $0.00002 $0.00092

Measured 1mo ago against content hash 008ea7610db4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-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 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.

engineering/deep-code-review/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Code Review — 8-Angle Methodology

Extracted from Claude Code's bundled code-review skill. This is the most thorough code review methodology available.

Review for recall: catch every real bug a careful reviewer would catch in one sitting. Catching real bugs matters more than avoiding false positives.

Phase 0 — Gather the diff

Run git diff @{upstream}...HEAD (or git diff main...HEAD / git diff HEAD~1) to get the unified diff under review. If there are uncommitted changes, also run git diff HEAD and include working-tree changes.

Phase 1 — Find candidates (8 independent angles)

Each angle surfaces up to 6 candidate findings with file, line, summary, and failure_scenario.

Angle A — Line-by-line diff scan

Read every hunk in the diff, line by line. Then read the enclosing function for each hunk — bugs in unchanged lines of a touched function are in scope. For every line ask: what input, state, timing, or platform makes this line wrong? Look for:

  • Inverted/wrong conditions
  • Off-by-one errors
  • Null/undefined dereference
  • Missing await
  • Falsy-zero checks
  • Wrong-variable copy-paste
  • Error swallowed in catch
  • Unescaped regex metacharacters

Angle B — Removed-behavior auditor

For every line the diff DELETES or replaces, name the invariant or behavior it enforced, then search the new code for where that invariant is re-established. If you can't find it, that's a candidate: a removed guard, a dropped error path, a narrowed validation, a deleted test covering a real case.

Angle C — Cross-file tracer

For each function the diff changes, find its callers (Grep for the symbol) and check whether the change breaks any call site: a new precondition, a changed return shape, a new exception, a timing/ordering dependency. Also check callees: does a parallel change in the same PR make a call unsafe?

Angle D — Reuse check

Flag new code that re-implements something the codebase already has. Grep shared/utility modules and files adjacent to the change, and name the existing helper to call instead.

Read the full file on GitHub · 84 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. 1mo ago First seen · 84 lines · 24 tokens per session scan A 008ea7610db4

Subscribe to this mod's changes

deep-code-review is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 921 once invoked, about $0.0001 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.

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