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/mathews-tom/armory/benchmark-runnernpx skills add Mathews-Tom/armory --skill benchmark-runnergit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/benchmark-runner)<a href="https://agentmods.dev/skills/mathews-tom/armory/benchmark-runner"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/benchmark-runner.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 | $0.00062 | $0.01974 |
| Opus 5 | $0.00031 | $0.00987 |
| Sonnet 5 | $0.00012 | $0.00395 |
| Haiku 4.5 | $0.00006 | $0.00197 |
Grade A, and why
benchmark-runner 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark Runner
Standardizes performance comparison methodology: metric selection, test case design, environment capture, result formatting, and tradeoff analysis. Produces reproducible benchmark reports that support informed decisions — not just "A is faster than B" but "A is faster for small inputs while B scales better."
Reference Files
| File | Contents | Load When |
|---|---|---|
references/metric-selection.md |
Metric catalog (latency percentiles, throughput, memory, accuracy), selection criteria per task type | Always |
references/test-case-design.md |
Representative input selection, scale variation, edge case coverage, warmup strategies | Always |
references/environment-capture.md |
Hardware/software context recording, reproducibility requirements, variance control | Always |
references/statistical-rigor.md |
Sample sizing, variance measurement, significance testing, outlier handling | Results need statistical validation |
Prerequisites
- Clear candidates to compare (at least 2)
- Access to run or observe the candidates (code, API, or existing results)
- Representative workload definition
Workflow
Phase 1: Define Scope
- What are the candidates? — Name each candidate precisely, including version. "Python dict vs Redis" is too vague. "Python 3.12 dict (in-process) vs Redis 7.2 (localhost, TCP)" is testable.
- What claims need validation? — "A is faster" → faster at what? For what input size? Under what load? Benchmark design flows from the specific claim.
- What is the decision context? — Why does this comparison matter? This determines which metrics are most important.
What ships with it
5 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.
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.
- 4d ago First seen · 194 lines · 62 tokens per session scan A fcc00f47b1c8
benchmark-runner is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed 6d ago), licensed MIT. It adds 62 tokens to every session and 1,974 once invoked, about $0.0003 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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