benchmark-models

benchmark-models is a skill for Claude Code, Codex from timurgaleev/vibestack. It costs 65 tokens per session (2,077 once invoked), scanned C, original, MIT.

A tool for comparing Claude, GPT, and Gemini on the same skill or prompt. It records measures such as response time, token use, cost, and optionally judged output quality.

In plain words
What is it for?
Use it to run model shootouts, compare performance on a skill, measure latency and usage, and evaluate quality with an automated judge when enabled.
Why use it?
It replaces guesses about which model works best with side-by-side results.

Skill for Claude CodeCodex

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/timurgaleev/vibestack/benchmark-models
Any agent
npx skills add timurgaleev/vibestack --skill benchmark-models
Clone the repo
git clone --depth 1 https://github.com/timurgaleev/vibestack

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 benchmark-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/timurgaleev/vibestack/benchmark-models.svg)](https://agentmods.dev/skills/timurgaleev/vibestack/benchmark-models)
Your own site
<a href="https://agentmods.dev/skills/timurgaleev/vibestack/benchmark-models"><img src="https://agentmods.dev/badge/skills/timurgaleev/vibestack/benchmark-models.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,077 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00065 $0.02077
Opus 5 $0.00032 $0.01038
Sonnet 5 $0.00013 $0.00415
Haiku 4.5 $0.00006 $0.00208

Measured yesterday against content hash 524daaf083cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

benchmark-models scanned grade C with 2 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 yesterday.

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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

[ -n "$ANTHROPIC_API_KEY" ] || grep -q 'ANTHROPIC' "$HOME/.claude/.credentials.json" 2>/dev/null && echo "JUDGE_AVAILABLE" || echo "JUDGE_UNAVAILABLE"

Enumerates other installed skillsmediumAgent snooping

Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.

If A: list skills that have SKILL.md files (from `find ~/.claude/skills -name SKILL.md -not -path '*/vibestack/*'`), ask the user to pick one via a second AskUserQuestion. Use the picked SKILL.md path as the prompt file.
skills/benchmark-models/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to invoke

Use when: "benchmark models", "compare models", "which model is best for X", "cross-model comparison", "model shootout".

Preamble

eval "$(~/.vibestack/bin/vibe-slug 2>/dev/null)" 2>/dev/null || SLUG="unknown"
_LEARN_FILE="${VIBESTACK_HOME:-$HOME/.vibestack}/projects/${SLUG:-unknown}/learnings.jsonl"
if [ -f "$_LEARN_FILE" ]; then
  _LEARN_COUNT=$(wc -l < "$_LEARN_FILE" 2>/dev/null | tr -d ' ')
  echo "LEARNINGS: $_LEARN_COUNT entries loaded"
  if [ "$_LEARN_COUNT" -gt 5 ] 2>/dev/null; then
    ~/.vibestack/bin/vibe-learnings-search --limit 5 2>/dev/null || true
  fi
else
  echo "LEARNINGS: none yet"
fi

{{include lib/snippets/session-host.md}}

{{include lib/snippets/decision-brief.md}}

{{include lib/snippets/working-protocols.md}}

{{include lib/snippets/state-protocols.md}}

/benchmark-models — Cross-Model Skill Benchmark

Different from /benchmark — that skill measures web page performance (Core Web Vitals, load times). This skill measures AI model performance on skills or arbitrary prompts.


Step 0: Locate the binary

BIN="$HOME/.vibestack/bin/vibe-model-benchmark"
[ -x "$BIN" ] || { echo "ERROR: model benchmark binary not found." >&2; exit 1; }
echo "BIN: $BIN"

If not found, stop and tell the user: "vibe-model-benchmark is required for this skill but is not installed at ~/.vibestack/bin/vibe-model-benchmark. vibestack does not bundle this binary — it's a separate dependency. See docs/external-tools.md for current options."


Step 1: Choose a prompt

Use AskUserQuestion with the preamble format:

  • Re-ground: current project + branch.
  • Simplify: "A cross-model benchmark runs the same prompt through 2-3 AI models and shows you how they compare on speed, cost, and output quality. What prompt should we use?"
  • RECOMMENDATION: A because benchmarking against a real skill exposes tool-use differences, not just raw generation.
  • Options:
    • A) Benchmark one of my skills (we'll pick which skill next). Completeness: 10/10.
    • B) Use an inline prompt — type it on the next turn. Completeness: 8/10.
    • C) Point at a prompt file on disk — specify path on the next turn. Completeness: 8/10.

Read the full file on GitHub · 185 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. yesterday Changed · +6 lines 524daaf083cc
  2. 4d ago First seen · 179 lines · 65 tokens per session scan C bb70d8d6fb33

Subscribe to this mod's changes

benchmark-models is a skill published in the GitHub repository timurgaleev/vibestack (6 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 2,077 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (reads agent configuration directories, enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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