can-i-use

can-i-use is a skill for Claude Code from ivklgn/ai-kit. It costs 84 tokens per session (1,094 once invoked), scanned A, original, MIT.

A browser-compatibility checker for web features such as CSS, JavaScript APIs, and HTML. It compares those features with the browsers your project says it supports, using current compatibility data.

In plain words
What is it for?
Use it when deciding whether to use a web platform feature, checking a browserslist configuration, assessing Baseline support, or planning support for older browsers.
Why use it?
A feature that works in one browser may fail or behave differently in another. This helps you identify unsupported features and choose fallbacks or gradual enhancements before shipping.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the ai-kit plugin — 22 skills, 15 commands, 30 agents, 1 MCP server shipped together

Good fit Use it when deciding whether to use a web platform feature, checking a browserslist configuration, assessing Baseline support, or planning support for older browsers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivklgn/ai-kit/can-i-use
Install

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.

Any agent
npx skills add ivklgn/ai-kit --skill can-i-use
Clone the repo
git clone --depth 1 https://github.com/ivklgn/ai-kit

Made for: Claude Code.

Or install ai-kit, the plugin that ships this one along with the rest of its 22 skills, 15 commands, 30 agents, 1 MCP server.

Wrote 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.

agentmods badge for can-i-use

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivklgn/ai-kit/can-i-use.svg)](https://agentmods.dev/skills/ivklgn/ai-kit/can-i-use)
Your own site
<a href="https://agentmods.dev/skills/ivklgn/ai-kit/can-i-use"><img src="https://agentmods.dev/badge/skills/ivklgn/ai-kit/can-i-use.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,094 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, 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 Excessive Agency · line 4
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium MCP Rug Pull · line 20
    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]
  • medium MCP Rug Pull · line 28
    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]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.01094
Opus 5 $0.00042 $0.00547
Sonnet 5 $0.00017 $0.00219
Haiku 4.5 $0.00008 $0.00109

Measured 8d ago against content hash 95ab62ce3fca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

can-i-use 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 8d 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.

plugins/ai-kit/skills/can-i-use/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Can I Use

You are answering whether a web platform feature is safe to use in THIS project — not in the abstract. "Safe" means: supported by the project's declared browser targets, or degradable there without breaking the experience.

Step 1: Resolve the Project's Browser Targets

Find the target matrix, in priority order:

  1. browserslist key in package.json, .browserslistrc, or a shared config referenced from them
  2. Framework defaults when nothing explicit exists (note which framework and version defines them)
  3. tsconfig.json target/lib for JS language-feature floors
  4. No config at all → ask the user what browsers they must support, or state the assumption you're making (e.g. Baseline Widely available) explicitly

When browserslist is configured, resolve it to concrete versions: npx browserslist in the project root. Record the oldest version per browser family — that's what every feature must clear.

Step 2: Establish Support Data for Each Feature

For every feature in question, get real compatibility data — do not answer from memory, support tables change:

  • Query caniuse: https://caniuse.com/?search=<feature> via WebFetch, or the raw data at https://raw.githubusercontent.com/Fyrd/caniuse/main/features-json/<feature-id>.json when you know the feature id
  • For features not in caniuse (many JS APIs, newer CSS), use MDN BCD: https://developer.mozilla.org/ feature pages state browser versions and Baseline status
  • If caniuse-lite is already in the project's node_modules, npx browserslist --coverage style tooling can cross-check locally
  • Note the Baseline status when available: Widely available (safe nearly everywhere), Newly available (recent cross-browser — check your matrix's tail), Limited (not cross-browser yet)

Step 3: Compare and Verdict

For each feature, compare its minimum supporting version per browser against the project's oldest target from Step 1:

  • SAFE — supported by every resolved target (including partial-support caveats that don't affect the intended use; state them)
  • NEEDS FALLBACK — unsupported in some targets but degradable: pair the verdict with the concrete technique
  • UNSAFE — required by the use case, unsupported in targets, no viable fallback

Read the full file on GitHub · 73 lines

Changes

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.

  1. 8d ago First seen · 73 lines · 84 tokens per session scan A 95ab62ce3fca

Subscribe to this mod's changes

can-i-use is a skill published in the GitHub repository ivklgn/ai-kit (12 stars, last pushed 3d ago), licensed MIT. It adds 84 tokens to every session and 1,094 once invoked, about $0.0004 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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