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 bdfinst/agentic-dev-team --skill performance-benchmarkgit clone --depth 1 https://github.com/bdfinst/agentic-dev-teamWrote 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/bdfinst/agentic-dev-team/performance-benchmark)<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/performance-benchmark"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/performance-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/bdfinst/agentic-dev-team/performance-benchmark"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/performance-benchmark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 21 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00051 | $0.01547 |
| Opus 5.5 | $0.00020 | $0.00619 |
| Sonnet 5.5 | $0.00010 | $0.00309 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
performance-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 1mo 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Benchmark Skill
Measures runtime performance (what the user experiences) — complements the static performance-review agent. Uses Playwright + Chromium to load pages, collect timing via the Performance API, measure resource sizes, and compare against baselines and budgets.
Prerequisites
Installed by /project-init for frontend projects, or install manually:
npx playwright install chromium
A running dev server (or accessible URL) for the pages being benchmarked.
Metrics collected
Core Web Vitals
| Metric | API | Budget Default | Measures |
|---|---|---|---|
| LCP (Largest Contentful Paint) | PerformanceObserver('largest-contentful-paint') |
≤ 2500ms | When main content is visible |
| FID (First Input Delay) | PerformanceObserver('first-input') |
≤ 100ms | First-interaction responsiveness |
| CLS (Cumulative Layout Shift) | PerformanceObserver('layout-shift') |
≤ 0.1 | Visual stability during load |
| INP (Interaction to Next Paint) | PerformanceObserver('event') |
≤ 200ms | Responsiveness across lifecycle |
Navigation Timing
| Metric | API | Measures |
|---|---|---|
| TTFB | performance.timing.responseStart - navigationStart |
Server response time |
| FCP (First Contentful Paint) | PerformanceObserver('paint') |
When first content appears |
| DOM Interactive | performance.timing.domInteractive |
When DOM is parseable |
| Load Complete | performance.timing.loadEventEnd |
Page fully loaded |
Resource metrics
| Metric | Collection | Budget Default |
|---|---|---|
| Total transfer size | performance.getEntriesByType('resource') sum |
≤ 500KB |
| JS bundle size | Resources with .js extension |
≤ 200KB |
| CSS bundle size | Resources with .css extension |
≤ 50KB |
| Image payload | Resources with image MIME types | ≤ 300KB |
| Request count | Resource entry count | ≤ 50 |
| Largest resource | Max single transfer size | ≤ 150KB |
Collection procedure
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.
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.
- 1mo ago First seen · 175 lines · 51 tokens per session scan A 94255c2dee86
performance-benchmark is a skill published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 1,547 once invoked, about $0.0002 per session on Opus 5.5. 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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