addyosmani/agent-skills is a collection of reusable workflows, quality checks, commands, and other instructions that guide AI coding agents through software development. It is for developers who want agents to follow consistent engineering practices, and the catalogue entries are its packaged skills, commands, agents, plugins, instructions, and hooks.
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 commands/addyosmani/agent-skills/webperfgit clone --depth 1 https://github.com/addyosmani/agent-skillsWrote 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/commands/addyosmani/agent-skills/webperf)<a href="https://agentmods.dev/commands/addyosmani/agent-skills/webperf"><img src="https://agentmods.dev/badge/commands/addyosmani/agent-skills/webperf.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 | $0.00013 | $0.00448 |
| Opus 5 | $0.00006 | $0.00224 |
| Sonnet 5 | $0.00003 | $0.00090 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
webperf 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 5d 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.
Copies of this mod
What it actually says
/webperf targets web applications specifically. Do not use it for utility libraries, CLIs, or server-only code with no browser-facing output.
Determine the mode
Deep mode — activate when any of these is available:
- A Lighthouse JSON report file (e.g.
npx lighthouse <url> --output json --output-path ./report.json, ornpx -p chrome-devtools-mcp chrome-devtools lighthouse_audit --output-format=jsonfrom the Chrome DevTools MCP CLI) - A PageSpeed Insights JSON response (includes Lighthouse + CrUX)
- A CrUX API response (requires
CRUX_API_KEYorGOOGLE_API_KEY) - A DevTools performance trace
- A live URL plus the
chrome-devtoolsMCP server configured in the harness (the agent can capture metrics directly vialighthouse_auditandperformance_*tools) - The Chrome DevTools MCP CLI invoked locally (via
npx -p chrome-devtools-mcp chrome-devtools <tool>or afternpm i -g chrome-devtools-mcp) — the user runs commands likechrome-devtools lighthouse_audit --output-format=jsonand passes the JSON output to the agent
Quick mode — default when none of the above are available. The agent scans source code for structural anti-patterns and labels every finding as potential impact.
Run the audit
Spawn the web-performance-auditor subagent. Pass it explicitly:
- The files, components, or diff under review
- Any artifact paths (Lighthouse JSON, PSI JSON, CrUX response, trace) or pasted JSON content
- The target URL or page name when known
- A note on which mode you expect (Quick or Deep), so the agent surfaces missing inputs if Deep was intended
The subagent returns a scorecard (only populated with sourced values), a ranked list of findings, positive observations, and proactive recommendations.
Output
Return the full audit report to the user. No synthesis or merge step is needed — this is a single-persona command.
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.
- 5d ago First seen · 33 lines · 13 tokens per session scan A 74c0c1335f13
webperf is a command published in the GitHub repository addyosmani/agent-skills (92,284 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 448 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.
Other commands, from other repositories
ship
通过并行 fan-out 到 specialist personas 运行发布前 checklist，然后综合 go/no-go decision.
code-simplify
简化代码以提升清晰度和可维护性 — 在不改变行为的前提下降低复杂度.
review
执行五轴 code review — correctness、readability、architecture、security、performance.
build
增量实现下一个任务 — build、test、verify、commit.
plan
将工作拆解为带 acceptance criteria 和 dependency ordering 的小型可验证 tasks.
spec
启动 spec-driven development — 写代码前先编写结构化 specification.