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 skills add rijuvashisht/Magneto --skill benchmarkgit clone --depth 1 https://github.com/rijuvashisht/MagnetoWrote 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/rijuvashisht/magneto/benchmark)<a href="https://agentmods.dev/skills/rijuvashisht/magneto/benchmark"><img src="https://agentmods.dev/badge/skills/rijuvashisht/magneto/benchmark/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.
<a href="https://agentmods.dev/skills/rijuvashisht/magneto/benchmark"><img src="https://agentmods.dev/badge/skills/rijuvashisht/magneto/benchmark.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00374 |
| Opus 5.5 | $0.00000 | $0.00150 |
| Sonnet 5.5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
benchmark 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 2mo 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.
What it actually says
/benchmark — Core Web Vitals + Resource Sizes
Role: Performance Engineer
Inputs: URL(s) to benchmark
Outputs: benchmark report in .magneto/benchmarks/
Audit actions: benchmark.baseline, benchmark.compared
Protocol
Step 1: Run Lighthouse or equivalent via Playwright
magneto browse benchmark <url>
# captures: LCP, FID, CLS, TTFB, TBT, resource sizes
Step 2: Store baseline on first run per URL
.magneto/benchmarks/<url-slug>/
baseline.json # first-run metrics
runs/ # one file per subsequent run
2026-05-12T18:45.json
Step 3: Diff current vs baseline (or vs previous)
## Benchmark: <url>
| Metric | Baseline | Current | Delta |
|---|---|---|---|
| LCP | 2.1s | 2.4s | +14% 🔴 |
| FID | 45ms | 42ms | -7% 🟢 |
| CLS | 0.08 | 0.09 | +12% 🟡 |
| Bundle size | 245KB | 302KB | +23% 🔴 |
Step 4: Flag regressions > 10%
Emit audit: benchmark.compared with deltas. If regression, recommend investigation.
Use in CI
Add to PR check:
- run: magneto benchmark $PREVIEW_URL --fail-over 10%
Trigger Phrases
- "benchmark"
- "measure performance"
- "web vitals"
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.
- 2mo ago First seen · 56 lines · 0 tokens per session scan A 0a6e3752bf26
benchmark is a skill published in the GitHub repository rijuvashisht/Magneto (6 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 374 tokens. 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.
Other skills, from other repositories
expense-review-policy
Review invoices and contracts against accounts-payable policy before human approval.
skill-creator
Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch, (3) updating or restructuring existing skills. Always use this skill for any skill installation or creation task.
image-generation
Generate or edit images from text prompts. Use when the user asks to create, draw, design, or edit an image, illustration, photo, icon, poster, or any visual content.
baby-sit
Monitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.
new-app
Scaffold a new Atomic Agents project from scratch — create the directory, pyproject.toml, env file, first agent, and a runnable entry point. Use when the user asks to start a new atomic-agents project from scratch, says "scaffold" / "new project" / "start from zero", or runs /atomic-agents:new-app.
powerpoint
Create designed, editable PowerPoint .pptx presentations with PptxGenJS. Use when the user asks to create, generate, update, or inspect a deck, slide deck, presentation, or .pptx file.