supreme-benchmarking

supreme-benchmarking is a skill for Claude Code from davccavalcante/supreme-coding-guidelines-skill.ah. It costs 602 tokens per session (2,875 once invoked), scanned A, original, no licence file.

A research and data-analysis guide for measuring AI, machine-learning, language-model, and npm/Node.js projects.

In plain words
What is it for?
Designing benchmarks, comparing models or software, analysing results, and documenting benchmarking methods.
Why use it?
It helps produce trustworthy comparisons by requiring clear methods, evidence, error information, and disclosure of how results were obtained.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the supreme-coding-guidelines plugin — 11 skills shipped together

Good fit Designing benchmarks, comparing models or software, analysing results, and documenting benchmarking methods.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking
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 davccavalcante/supreme-coding-guidelines-skill.ah --skill supreme-benchmarking
Clone the repo
git clone --depth 1 https://github.com/davccavalcante/supreme-coding-guidelines-skill.ah

Made for: Claude Code.

Or install supreme-coding-guidelines, the plugin that ships this one along with the rest of its 11 skills.

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 supreme-benchmarking

README.md
[![agentmods](https://agentmods.dev/badge/skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking/github.svg)](https://agentmods.dev/skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking)
Your own site
<a href="https://agentmods.dev/skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking"><img src="https://agentmods.dev/badge/skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking/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 supreme-benchmarking

Your own site · 80×15
<a href="https://agentmods.dev/skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking"><img src="https://agentmods.dev/badge/skills/davccavalcante/supreme-coding-guidelines-skill.ah/supreme-benchmarking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 602 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,875 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 unknown 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 $0.00602 $0.02875
Opus 5 $0.00301 $0.01437
Sonnet 5 $0.00120 $0.00575
Haiku 4.5 $0.00060 $0.00287

Measured 9d ago against content hash 6875f959eac1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

supreme-benchmarking 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 9d 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/supreme-benchmarking/SKILL.md · 129 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 9d ago First seen · 129 lines · 602 tokens per session scan A 6875f959eac1

Subscribe to this mod's changes

supreme-benchmarking is a skill published in the GitHub repository davccavalcante/supreme-coding-guidelines-skill.ah (4 stars, last pushed 2mo ago), with no licence file. It adds 602 tokens to every session and 2,875 once invoked, about $0.0030 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.

Related

Other skills, from other repositories

model-cost-compare

Trigger when the user asks which model to use, wants to compare model costs, says "what's cheapest for this task", "should I use Opus or Sonnet", "can a smaller model handle this", or "/model-cost-compare". Estimates token cost across Opus 4.6, Sonnet 4.6, GLM-5.1, Minimax M2.7, and local Gemma 4, then recommends the…

mergisi/awesome-openclaw-agents · 104 tokens

claude-api-cost-optimization

Save 50-90% on Claude API costs with Batch API, Prompt Caching & Extended Thinking. Official techniques, verified.

Louishin/claude-api-cost-optimization · 33 tokens

prompt-engineer

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.

zacklecon/claude-skills · 40 tokens

rag-architect

Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.

zacklecon/claude-skills · 31 tokens

spark-engineer

Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.

zacklecon/claude-skills · 41 tokens

fine-tuning-expert

Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.

zacklecon/claude-skills · 40 tokens