Borrowing it
Nothing to install: this file belongs to pdsuwwz/chatgpt-vue3-light-mvp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pdsuwwz/chatgpt-vue3-light-mvp/main/.pi/skills/antfu/SKILL.mdgit clone --depth 1 https://github.com/pdsuwwz/chatgpt-vue3-light-mvpWrote 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/pdsuwwz/chatgpt-vue3-light-mvp/antfu)<a href="https://agentmods.dev/skills/pdsuwwz/chatgpt-vue3-light-mvp/antfu"><img src="https://agentmods.dev/badge/skills/pdsuwwz/chatgpt-vue3-light-mvp/antfu/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/pdsuwwz/chatgpt-vue3-light-mvp/antfu"><img src="https://agentmods.dev/badge/skills/pdsuwwz/chatgpt-vue3-light-mvp/antfu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 MCP Rug Pull · line 98 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 102 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 | $0.00052 | $0.00991 |
| Opus 5 | $0.00026 | $0.00495 |
| Sonnet 5 | $0.00010 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
antfu 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 13d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding Practices
Code Organization
- Single responsibility: Each source file should have a clear, focused scope/purpose
- Split large files: Break files when they become large or handle too many concerns
- Type separation: Always separate types and interfaces into
types.tsortypes/*.ts - Constants extraction: Move constants to a dedicated
constants.tsfile
Runtime Environment
- Prefer isomorphic code: Write runtime-agnostic code that works in Node, browser, and workers whenever possible
- Clear runtime indicators: When code is environment-specific, add a comment at the top of the file:
// @env node
// @env browser
TypeScript
- Explicit return types: Declare return types explicitly when possible
- Avoid complex inline types: Extract complex types into dedicated
typeorinterfacedeclarations
Comments
- Avoid unnecessary comments: Code should be self-explanatory
- Explain "why" not "how": Comments should describe the reasoning or intent, not what the code does
Testing (Vitest)
- Test files:
foo.ts→foo.test.ts(same directory) - Use
describe/itAPI (nottest) - Use
toMatchSnapshotfor complex outputs - Use
toMatchFileSnapshotwith explicit path for language-specific snapshots
Tooling Choices
@antfu/ni Commands
| Command | Description |
|---|---|
ni |
Install dependencies |
ni <pkg> / ni -D <pkg> |
Add dependency / dev dependency |
nr <script> |
Run script |
nu |
Upgrade dependencies |
nun <pkg> |
Uninstall dependency |
nci |
Clean install (pnpm i --frozen-lockfile) |
nlx <pkg> |
Execute package (npx) |
TypeScript Config
{
"compilerOptions": {
"target": "ESNext",
"module": "ESNext",
"moduleResolution": "bundler",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"resolveJsonModule": true,
"isolatedModules": true,
"noEmit": true
}
}
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.
- 13d ago First seen · 131 lines · 52 tokens per session scan A c852c83c5113
antfu is a skill published in the GitHub repository pdsuwwz/chatgpt-vue3-light-mvp (574 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 991 once invoked, about $0.0003 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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