open-benchmark-methodology

open-benchmark-methodology is a skill for Claude Code from vibeic/vibe-ic. It costs 114 tokens per session (5,970 once invoked), scanned A, original, Apache-2.0.

A set of rules for running and interpreting open benchmarks, which are standard test collections used to compare how well systems solve hardware-design tasks.

In plain words
What is it for?
It helps run, resume, and score supported RTL and whole-chip benchmarks with a common solver, independent review, and clean evaluation boundaries.
Why use it?
It prevents benchmark-specific shortcuts and keeps the evaluated path the same as the normal product path, making scores easier to interpret.

Skill for Claude Code

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 programs/benchmark_dispatch.py <bench> \.

Part of the vibe-ic plugin — 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server shipped together

Good fit It helps run, resume, and score supported RTL and whole-chip benchmarks with a common solver, independent review, and clean evaluation boundaries.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/vibeic/vibe-ic
agentmods
npx agentmods add skills/vibeic/vibe-ic/open-benchmark-methodology

Made for: Claude Code.

Or install vibe-ic, the plugin that ships this one along with the rest of its 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server.

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 open-benchmark-methodology

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibeic/vibe-ic/open-benchmark-methodology/github.svg)](https://agentmods.dev/skills/vibeic/vibe-ic/open-benchmark-methodology)
Your own site
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/open-benchmark-methodology"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/open-benchmark-methodology/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 open-benchmark-methodology

Your own site · 80×15
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/open-benchmark-methodology"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/open-benchmark-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,970 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00114 $0.05970
Opus 5 $0.00057 $0.02985
Sonnet 5 $0.00023 $0.01194
Haiku 4.5 $0.00011 $0.00597

Measured yesterday against content hash f97c5eb36a9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

open-benchmark-methodology 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test_compliance.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.

vibe-ic-marketplace/plugins/vibe-ic/skills/open-benchmark-methodology/SKILL.md · 512 lines

How it starts

The opening of the file, as written. The whole thing — 512 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Open-Benchmark Methodology

The benchmark measures the Vibe-IC product path, not a benchmark-tuned agent. Every runnable RTL evaluation uses the same solve core as an ordinary IC-design request. Dataset differences are allowed only at the input/output boundary.

Rule 0 — one product entry

For the open RTL suites in benchmark/BENCHMARK_REGISTRY.json, the only authoring path is:

benchmark_dispatch.py <bench> --solve
  -> benchmark_io_adapter.stage           (input translation only)
  -> task_nature_route                     (prompt/context evidence only)
  -> vibe_ic_one_shot_runner --entry-step  (normal product runner)
  -> Program candidate or declared AI backup
  -> independent hash-bound AI review
  -> benchmark_dispatch.py <bench> --resume
  -> accepted candidate
  -> benchmark_dispatch.py <bench> --score
  -> official host scorer

For whole-IC benchmark_clean, use the ordinary /vibe-ic-all entry, vibe_ic_one_shot_runner.py, and the benchmark-verify skill. A benchmark IC must not select another solver because of its IC name.

Forbidden alternatives include:

  • benchmark-name or problem-id routers, task loops, tier pipelines, solve pipelines, Phase-1 wrappers, prompt exporters, or free-hand authoring loops;
  • choosing a route from a CVDP cid, benchmark label, problem name, expected answer, prior score, or hidden harness;
  • writing scoreable RTL directly and then calling a gate/scorer;
  • publishing a partial previous-failure run as a benchmark result.

benchmark/benchmark_entry_surface_check.py enforces the shipped entry surface and is called by --solve. If it fails, stop and repair the product entry before running a benchmark.

GENERAL-CORE / THIN-ADAPTER

Benchmark-specific code may only translate formats or invoke the official scorer. A thin adapter may:

  • stage the current record's visible prompt and supplied context into a normal project;
  • collect an already-produced candidate;
  • package exact accepted bytes into the scorer's required envelope;
  • run image/tool preflight and translate official verdict files.

Read the full file on GitHub · 512 lines

Files

What ships with it

2 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. yesterday Changed · +51 lines f97c5eb36a9b
  2. 3d ago Changed · +70 lines 75e76bdaea70
  3. 4d ago Changed · +4 lines d0a5f70a0741
  4. 5d ago First seen · 387 lines · 114 tokens per session scan A ea5bd98cc1df

Subscribe to this mod's changes

open-benchmark-methodology is a skill published in the GitHub repository vibeic/vibe-ic (23 stars, last pushed today), licensed Apache-2.0. It adds 114 tokens to every session and 5,970 once invoked, about $0.0006 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 2026-09-03.

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