ln-34-benchmark-comparator

ln-34-benchmark-comparator is a skill for Claude Code from levnikolaevich/claude-code-skills. It costs 26 tokens per session (2,484 once invoked), scanned A, original, MIT.

A method for comparing tools or implementations with repeatable tests, correctness checks, and controlled measurements. An A/B workload runs the alternatives under comparable conditions.

In plain words
What is it for?
Use it to compare alternatives, define a correctness check before testing, measure their workloads, and decide which option fits the results.
Why use it?
It separates measured results from estimates and opinions, so choices are based on reproducible evidence and correct outputs.

Skill for Claude Code

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

Part of the optimization-suite plugin — 5 skills shipped together

Good fit Use it to compare alternatives, define a correctness check before testing, measure their workloads, and decide which option fits the results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator
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 levnikolaevich/claude-code-skills --skill ln-34-benchmark-comparator
Clone the repo
git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills

Made for: Claude Code.

Or install optimization-suite, the plugin that ships this one along with the rest of its 5 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 ln-34-benchmark-comparator

README.md
[![agentmods](https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator/github.svg)](https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator)
Your own site
<a href="https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator"><img src="https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator/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 ln-34-benchmark-comparator

Your own site · 80×15
<a href="https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator"><img src="https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-34-benchmark-comparator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,484 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 $0.00026 $0.02484
Opus 5 $0.00013 $0.01242
Sonnet 5 $0.00005 $0.00497
Haiku 4.5 $0.00003 $0.00248

Measured 4d ago against content hash 602b119faf07, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ln-34-benchmark-comparator 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 4d 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.

plugins/optimization-suite/skills/ln-34-benchmark-comparator/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Benchmark Comparator

Goal: Compare alternatives under controlled, reproducible conditions. Correctness comes before speed, and measured data must remain separate from estimates, setup cost, and interpretation.

Execution contract: The ordered checkboxes are the Definition of Done. Track every item internally as PENDING, PROVEN with concrete evidence, CLEARED with evidence that its condition is absent, or UNPROVEN with a gap; reading, delegation, or tool failure is not proof. Reconcile items after each section. Before returning, resolve all PENDING and count only PROVEN and CLEARED; apply the skill's verdict and approval rules to every gap. Preserve user intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. Scale depth to material risk without silently skipping checks. Preserve dependency and safety ordering; otherwise choose the verification method appropriate to each obligation.

Tool Routing

Need Preferred tool Use it when Fallback
Canonical workload and oracle Repository fixtures, tests, expected diffs, schemas, or independently specified outcomes Defining what success means before either candidate runs Create the smallest deterministic fixture that represents the decision
Isolation Clean Git worktrees, temporary directories, controlled environment, fixed seeds, and resettable caches Preventing one candidate or run from contaminating another Sequential clean-room setup with verified cleanup
Execution The same shell runner and wrapper for every candidate Capturing commands, exit status, stdout, stderr, timing, and artifacts consistently Manual execution with an explicit reproducibility limitation
Activation proof Logs, traces, command records, process metadata, or candidate-specific artifacts Verifying the intended alternative actually ran and did not fall back Treat the run as invalid when activation cannot be proven
Correctness grading Tests, output parser, diff, schema validation, or independent oracle Every scenario before cost comparison Manual blind grading against written expectations
Performance and cost Monotonic timer, resource metrics, token or usage telemetry, tool-call logs, and failure counts Metrics are observable through the same method for all candidates Label derived or estimated values and keep them out of measured aggregates
External semantics Official documentation and specifications Candidate configuration or claimed behavior needs current verification Primary-source web research; otherwise mark the claim UNVERIFIED

Read the full file on GitHub · 115 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. 4d ago Changed · -14 lines · -15 tokens per session 602b119faf07
  2. 11d ago First seen · 129 lines · 41 tokens per session scan A 3f693bfee396

Subscribe to this mod's changes

ln-34-benchmark-comparator is a skill published in the GitHub repository levnikolaevich/claude-code-skills (559 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 2,484 once invoked, about $0.0001 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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