agentmods.dev

h3

A code-review command that can examine pull requests, plans, files, or commit ranges using one model or a three-model review group.

In plain words
What is it for?
Use it to review a GitHub pull request, plan file, Markdown file, or range of commits, with options for staged changes, the latest commit, a selected model, or a three-model council.
Why use it?
It gives coding agents a way to get additional review of planned or changed code, including reviews using several models.

Skill for Claude CodeCodex

45 20d ago A scan 22 tokens original MIT
View the source file heavy3-ai/code-audit
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/heavy3-ai/code-audit/skill
Any agent
npx skills add heavy3-ai/code-audit --skill skill
Clone the repo
git clone --depth 1 https://github.com/heavy3-ai/code-audit

Made for: Claude Code, Codex.

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,667 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 $0.00022 $0.07667
Opus 5 $0.00011 $0.03834
Sonnet 5 $0.00004 $0.01533
Haiku 4.5 $0.00002 $0.00767

Measured 2d ago against content hash 6057ddebb1d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

h3 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 2d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/council.py, scripts/list-free-models.py, scripts/review.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skill/SKILL.md · 797 lines

How it starts

The opening of the file, as written. The whole thing — 797 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Heavy3 Code Audit - The Multi-Model Code Review for Coding Agents

Sponsored by Heavy3.ai - Multi-model AI for high-stakes decisions

You are helping the user get AI-powered code reviews via OpenRouter.

All features are free and open source:

  • Single model review with DeepSeek V4 Pro (strong reasoning at low cost)
  • 3-model council with GPT 5.6 Sol + Gemini 3.1 Pro + Grok 4.6
  • Web search integration
  • Up to 200K token context

Arguments

$ARGUMENTS can contain:

Explicit targets (no confirmation needed):

  • pr <number> - Review a GitHub pull request by number
  • plan <path> - Review a specific plan file
  • <file>.md - Shorthand for plan review (any .md file)
  • <range> - Review a commit range (e.g., HEAD~3..HEAD, abc123..def456)

Scope modifiers:

  • --staged - Force review of only staged changes
  • --commit - Force review of the last commit only

Mode options:

  • --council - Use 3-model council (GPT 5.6 Sol + Gemini 3.1 Pro + Grok 4.6)
  • --free - Use rotating free model from config
  • --model <name> - Override model (shortcuts: glm, gpt, kimi, deepseek, free)

Smart Detection

When /h3 is invoked without explicit targets, automatically detect intent and confirm with user.

Detection Priority

Priority Condition Action
1 Explicit argument provided Execute directly, no confirmation
2 Uncommitted changes exist Confirm: review changes?
3 No changes + plan detected Confirm: review the plan?
4 No changes + no plan Ask: review commits or specify target?

Step-by-Step Smart Detection Workflow

Step 1: Check for explicit arguments

If $ARGUMENTS contains any of these, skip detection and execute directly:

  • pr <number> → PR review
  • plan <path> → Plan review of specific file
  • <file>.md (any markdown file path) → Plan review
  • <range> (commit range like HEAD~3..HEAD) → Code review of range
  • --staged → Staged changes review
  • --commit → Last commit review

Read the full file on GitHub · 797 lines

Files

What ships with it

13 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. 2d ago First seen · 797 lines · 22 tokens per session scan A 6057ddebb1d2

Subscribe to this mod's changes

h3 is a skill published in the GitHub repository heavy3-ai/code-audit (45 stars, last pushed 20d ago), licensed MIT. It adds 22 tokens to every session and 7,667 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 2026-08-30.

Code reviewData and AIGit and workflow
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