code-gauntlet

code-gauntlet is a skill for Claude Code, Codex from liatrio-labs/claude-code-gauntlet. It costs 218 tokens per session (16,892 once invoked), scanned A, original, Apache-2.0.

A code-review process that sends changes through several review stages and has separate agents challenge whether reported problems are real. Code review means examining changed code for bugs, risks, and maintainability issues.

In plain words
What is it for?
Use it for reviews of code changes, branches, pull requests, or merge requests when you want independently verified findings.
Why use it?
It reduces false alarms by checking findings against the actual code and trying to disprove them before reporting them.

Skill for Claude CodeCodex

Part of the code-gauntlet plugin — 2 skills, 15 agents, 1 hook shipped together

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/liatrio-labs/claude-code-gauntlet/code-gauntlet
Any agent
npx skills add liatrio-labs/claude-code-gauntlet --skill code-gauntlet
Clone the repo
git clone --depth 1 https://github.com/liatrio-labs/claude-code-gauntlet

Made for: Claude Code, Codex.

Or install code-gauntlet, the plugin that ships this one along with the rest of its 2 skills, 15 agents, 1 hook.

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-gauntlet

README.md
[![agentmods](https://agentmods.dev/badge/skills/liatrio-labs/claude-code-gauntlet/code-gauntlet.svg)](https://agentmods.dev/skills/liatrio-labs/claude-code-gauntlet/code-gauntlet)
Your own site
<a href="https://agentmods.dev/skills/liatrio-labs/claude-code-gauntlet/code-gauntlet"><img src="https://agentmods.dev/badge/skills/liatrio-labs/claude-code-gauntlet/code-gauntlet.svg" alt="Measured on agentmods" height="20"></a>
Per session 218 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 16,892 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 $0.00218 $0.16892
Opus 5 $0.00109 $0.08446
Sonnet 5 $0.00044 $0.03378
Haiku 4.5 $0.00022 $0.01689

Measured today against content hash 9904e807e3c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-gauntlet 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 today.

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/code-gauntlet/SKILL.md · 598 lines

How it starts

The opening of the file, as written. The whole thing — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Gauntlet

Concern-parallel agents with context-pulling and deterministic verification. When in doubt about whether something is a real issue, err on the side of not reporting it. A review with 5 real issues is far more valuable than one with 5 real issues buried in 20 false positives.

This is a code gauntlet tool built for thoroughness, not speed. The user chose this tool because they want aggressive, high-confidence review. Cost and time concerns do not justify skipping any phase — especially the blind-challenge stage, which requires spawning sub-agents. Every stage exists for a reason; skipping any of them degrades the result.

How v3 runs

The skill layer (this file) does three things: prepare (Phases 1–2 — gate, checkout, git artifacts, args), run (Phase 3 — a single Workflow tool call), and deliver (Phase 8 — read the persisted artifacts and run the delivery gates). The eight review stages themselves — Summarize, Discover, Merge, Verify, Validate, Filter, Challenge, Report — run inside the workflow (workflows/pipeline.js), which orchestrates them through injected agent()/parallel() runtime globals and returns a compact result. The workflow script has no disk, shell, or process.env access, so everything it needs arrives through the args object, and everything it produces is persisted by a writer agent to {output_dir}.


Phase 1: Pre-Flight

Inline checks before any workflow run — no subagent dispatch. Read references/phase1-preflight.md for full templates.

Workflow-tool availability check — MANDATORY, FIRST

Before anything else, confirm the Workflow tool is present in this session's tool definitions. This is passive self-inspection — no tool call verifies it. Never probe with ToolSearch: it searches deferred tools only and returns zero hits for a top-level Workflow, which reads as a false "absent". v3 orchestration is a single Workflow invocation; there is no in-session fallback. If Workflow is absent from your tool definitions, print exactly:

Read the full file on GitHub · 598 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. today Changed · +7 lines 9904e807e3c3
  2. 4d ago First seen · 591 lines · 218 tokens per session scan A feb49722b329

Subscribe to this mod's changes

code-gauntlet is a skill published in the GitHub repository liatrio-labs/claude-code-gauntlet (12 stars, last pushed today), licensed Apache-2.0. It adds 218 tokens to every session and 16,892 once invoked, about $0.0011 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.

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