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.
npx agentmods add skills/liatrio-labs/claude-code-gauntlet/code-gauntletnpx skills add liatrio-labs/claude-code-gauntlet --skill code-gauntletgit clone --depth 1 https://github.com/liatrio-labs/claude-code-gauntletWrote 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.
[](https://agentmods.dev/skills/liatrio-labs/claude-code-gauntlet/code-gauntlet)<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>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.
| Model | Per session | Once 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 |
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.
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:
What ships with it
15 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.
- references/complete-read-contract.md 3.5 KB
- references/crash-recovery.md 3.2 KB
- references/delivery-guide.md 13 KB
- references/false-positive-exclusions.md 8.9 KB
- references/fix-task-metadata.md 3.9 KB
- references/headless-mode.md 15 KB
- references/investigation-methodology.md 2.0 KB
- references/ndjson-emission-contract.md 4.7 KB
- references/phase1-preflight.md 16 KB
- references/phase2-triage.md 46 KB
- references/phase3-dispatch.md 19 KB
- references/phase8-delivery.md 17 KB
- references/report-format.md 18 KB
- references/review-md-spec.md 21 KB
- references/validation-pipeline.md 18 KB
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.
- today Changed · +7 lines 9904e807e3c3
- 4d ago First seen · 591 lines · 218 tokens per session scan A feb49722b329
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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