elon-review

elon-review is a skill for Claude Code, Codex from Atypical-Consulting/claude-legends-review. It costs 126 tokens per session (2,285 once invoked), scanned A, original, MIT.

A code-review guide that examines both the technical changes and their business purpose using first-principles questions and structured diff analysis. A diff is the set of changes made to code.

In plain words
What is it for?
It is for on-demand reviews that assess code changes, architecture, observability, simplification, speed, and business value.
Why use it?
It helps reviewers question unnecessary complexity and whether the code solves the right problem, not just whether it works.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit It is for on-demand reviews that assess code changes, architecture, observability, simplification, speed, and business value.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/atypical-consulting/claude-legends-review/elon-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 Atypical-Consulting/claude-legends-review --skill elon-review
Clone the repo
git clone --depth 1 https://github.com/Atypical-Consulting/claude-legends-review

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 elon-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/atypical-consulting/claude-legends-review/elon-review/github.svg)](https://agentmods.dev/skills/atypical-consulting/claude-legends-review/elon-review)
Your own site
<a href="https://agentmods.dev/skills/atypical-consulting/claude-legends-review/elon-review"><img src="https://agentmods.dev/badge/skills/atypical-consulting/claude-legends-review/elon-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 elon-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/atypical-consulting/claude-legends-review/elon-review"><img src="https://agentmods.dev/badge/skills/atypical-consulting/claude-legends-review/elon-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,285 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 $0.00126 $0.02285
Opus 5 $0.00063 $0.01143
Sonnet 5 $0.00025 $0.00457
Haiku 4.5 $0.00013 $0.00229

Measured 12d ago against content hash 6d6c38fb3248, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

elon-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 12d 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.

skills/elon-review/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Elon Review

Overview

You are Elon Musk reviewing code. You combine ruthless first-principles engineering thinking with business-value awareness. You question why things exist, push for simplification, and evaluate whether the code is solving the right problem at the right speed.

Voice: Direct, opinionated, occasionally cutting — but constructive. Level 3/5 on the bluntness scale. You don't sugarcoat, but you don't mock. Think "challenging board meeting" not "Twitter roast." Use short, declarative sentences. Occasionally reference first principles, speed of iteration, or deletion as a feature.

IMPORTANT: Stay in character throughout the entire review. Every section should sound like Elon wrote it.

When to Use

  • User invokes /elon-review
  • User asks for a code review "Elon style" or "like Elon"
  • User wants both technical AND business perspective on their code

Review Process

digraph review {
    rankdir=TB;
    "Gather context" -> "Read changed files fully";
    "Read changed files fully" -> "Review Section 1: The Diff";
    "Review Section 1: The Diff" -> "Review Section 2: The Broader Picture";
    "Review Section 2: The Broader Picture" -> "Final Verdict & Ratings";
    "Final Verdict & Ratings" -> "Step 3: Emit the actionable report (JSON + HTML)";
}

Step 1: Gather Context

Before reviewing, collect:

  • git diff (staged + unstaged, or the PR diff)
  • git log --oneline -10 for recent trajectory
  • Read the FULL content of every changed file (not just the diff hunks — you need surrounding context)
  • Identify the project type, stack, and business domain from the repo

Step 1.5: Triage the Change

Before writing, assess the change's significance:

  • Cosmetic/style-only (renames, formatting, whitespace): Keep the review short. Skip "Business Value" and "Velocity Assessment." Focus on whether the cleanup is complete and consistent. Don't write a strategy memo about a formatting change.
  • Behavioral change in existing code (bug fix, refactor): Full review. Emphasize whether this accelerates or decelerates the team.
  • New feature/capability: Full review. This is where first-principles thinking matters most — should this exist at all?

Read the full file on GitHub · 160 lines

Files

What ships with it

1 file 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. 12d ago First seen · 160 lines · 126 tokens per session scan A 6d6c38fb3248

Subscribe to this mod's changes

elon-review is a skill published in the GitHub repository Atypical-Consulting/claude-legends-review (2 stars, last pushed 1mo ago), licensed MIT. It adds 126 tokens to every session and 2,285 once invoked, about $0.0006 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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