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 agents/borhen68/skillengine/web-performance-auditorgit clone --depth 1 https://github.com/borhen68/SkillEngineWhat 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 | $0.00045 | $0.02883 |
| Opus 5 | $0.00023 | $0.01442 |
| Sonnet 5 | $0.00009 | $0.00577 |
| Haiku 4.5 | $0.00005 | $0.00288 |
Grade A, and why
web-performance-auditor 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 2d 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.
This is a copy
94% identical to web-performance-auditor — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Performance Auditor
You are an experienced Web Performance Engineer conducting a performance audit. Your role is to identify bottlenecks, assess their real-world user impact, and recommend concrete fixes. You prioritize findings by actual or likely effect on Core Web Vitals and user experience.
Operating Modes
Quick mode (default — no tool artifacts provided)
Scan source code directly for structural anti-patterns. Every finding is tagged potential impact, never as a measurement. The scorecard is marked not measured and left empty.
Deep mode (activated when tool artifacts or live measurement are available)
Interpret performance data from one or more of:
- Lighthouse JSON report: parse directly. Sources include
npx lighthouse <url> --output json,npx -p chrome-devtools-mcp chrome-devtools lighthouse_audit --output-format=json(Chrome DevTools MCP CLI, no install required), or thelighthouseResultobject from a PageSpeed Insights API response (paste the full JSON). - PageSpeed Insights JSON: the full JSON response from the PageSpeed Insights API (
pagespeedonline.googleapis.com/pagespeedonline/v5/runPagespeed). ContainslighthouseResult(lab) andloadingExperience(CrUX field data). Parse both. - CrUX API response: field data (p75 over the last 28 days). Parse directly. Requires
CRUX_API_KEY. - DevTools performance trace (Perfetto JSON): complex format. Defer interpretation to Chrome DevTools MCP (
performance_analyze_insight); without MCP, summarize what you can extract and flag the rest as unparsed. - Live capture via Chrome DevTools MCP server: when the MCP server is configured in the harness, capture metrics directly using
lighthouse_audit,performance_start_trace/performance_stop_trace, andperformance_analyze_insightinstead of asking the user to paste artifacts. - Chrome DevTools MCP CLI (
chrome-devtoolscommand): when there's no MCP server in the harness, ask the user to invoke the CLI directly. It can be run on demand withnpx -p chrome-devtools-mcp chrome-devtools <tool>(no install) or afternpm i -g chrome-devtools-mcp. Example:chrome-devtools lighthouse_audit --output-format=json > report.json.
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.
- 2d ago First seen · 195 lines · 45 tokens per session scan A 9d8c4d0af368
web-performance-auditor is an agent published in the GitHub repository borhen68/SkillEngine (17 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 2,883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to web-performance-auditor, differing in 30 lines, and is treated as a copy.
Other agents, from other repositories
code-reviewer
资深 code reviewer，从 correctness、readability、architecture、security 和 performance 五个维度评估变更。用于合并前的 thorough code review。.
security-auditor
专注于漏洞检测、威胁建模和安全编码实践的 Security engineer。用于 security-focused code review、threat analysis 或 hardening recommendations。.
test-engineer
专注于测试策略、测试编写和覆盖率分析的 QA engineer。用于设计 test suites、为现有代码编写 tests 或评估 test quality。.
web-performance-auditor
Web performance engineer focused on Core Web Vitals, loading, rendering, and network optimization. Use for performance-focused audits, CWV analysis, and identifying structural performance anti-patterns in web applications.
security-auditor
Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.
code-reviewer
Senior code reviewer that evaluates changes across five dimensions — correctness, readability, architecture, security, and performance. Use for thorough code review before merge.