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 lubusIN/frappe-skills --skill frontend-developmentgit clone --depth 1 https://github.com/lubusIN/frappe-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/skills/lubusin/frappe-skills/frontend-development)<a href="https://agentmods.dev/skills/lubusin/frappe-skills/frontend-development"><img src="https://agentmods.dev/badge/skills/lubusin/frappe-skills/frontend-development/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/lubusin/frappe-skills/frontend-development"><img src="https://agentmods.dev/badge/skills/lubusin/frappe-skills/frontend-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Memory Poisoning · line 110 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium MCP Rug Pull · line 40 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 | $0.00044 | $0.02639 |
| Opus 5 | $0.00022 | $0.01319 |
| Sonnet 5 | $0.00009 | $0.00528 |
| Haiku 4.5 | $0.00004 | $0.00264 |
Grade A, and why
frontend-development 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 12d 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 — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frappe Frontend Development
Build modern frontend applications using Frappe UI (Vue 3 + TailwindCSS) and portal pages.
When to use
- Building a custom SPA frontend for a Frappe app
- Using Frappe UI components (Button, Dialog, ListView, etc.)
- Implementing data fetching with Resource, ListResource, DocumentResource
- Creating portal/public-facing pages
- Setting up Vue 3 frontend tooling inside a Frappe app
Inputs required
- App name and whether frontend already exists
- Frontend type (full SPA via Frappe UI, or portal pages)
- Authentication requirements (logged-in users, guest access)
- Key components and data resources needed
Procedure
0) Choose frontend approach
| Approach | When to Use | Stack |
|---|---|---|
| Frappe UI SPA | Custom app frontend | Vue 3, TailwindCSS, Vite |
| Portal pages | Simple public pages | Jinja + HTML, minimal JS |
| Desk extensions | Admin UI enhancements | Form/List scripts (see desk-customization) |
1) Scaffold Frappe UI frontend
# Inside your Frappe app directory
cd apps/my_app
npx degit frappe/frappe-ui-starter frontend
# Install dependencies
cd frontend
yarn
# Start dev server
yarn dev
2) Configure main.js
import { createApp } from 'vue'
import {
FrappeUI,
setConfig,
frappeRequest,
resourcesPlugin,
pageMetaPlugin
} from 'frappe-ui'
import App from './App.vue'
import './index.css'
let app = createApp(App)
// Register FrappeUI plugin (components + directives)
app.use(FrappeUI)
// Enable Frappe response parsing
setConfig('resourceFetcher', frappeRequest)
// Optional: Options API resource support
app.use(resourcesPlugin)
// Optional: Reactive page titles
app.use(pageMetaPlugin)
app.mount('#app')
3) Fetch data with Resources
Generic Resource — for custom API calls:
import { createResource } from 'frappe-ui'
let stats = createResource({
url: 'my_app.api.get_dashboard_stats',
params: { period: 'monthly' },
auto: true,
cache: 'dashboard-stats',
transform(data) {
return { ...data, formatted_total: format_currency(data.total) }
},
onSuccess(data) { console.log('Loaded:', data) },
onError(error) { console.error('Failed:', error) }
})
// Properties
stats.data // Response data
stats.loading // Boolean: request in progress
stats.error // Error object if failed
stats.fetched // Boolean: data fetched at least once
// Methods
stats.fetch() // Trigger request
stats.reload() // Re-fetch
stats.submit({ period: 'weekly' }) // Fetch with new params
stats.reset() // Reset state
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.
- 12d ago First seen · 358 lines · 44 tokens per session scan A fef656db1187
frontend-development is a skill published in the GitHub repository lubusIN/frappe-skills (58 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 2,639 once invoked, about $0.0002 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 skills, from other repositories
frappe-ui
Build consistent Frappe-style user interfaces using the frappe-ui Vue 3 component library and its design tokens. Use when scaffolding pages, forms, dialogs, lists, or any UI inside a Frappe-based app, when the user mentions frappe-ui, Frappe Cloud / Gameplan / Desk / Drive / Insights styling, or asks to "use frappe-ui…
remotion-saas
Building video apps with Remotion - framework, rendering and Player advice.
nuxt
Nuxt full-stack Vue framework with SSR, auto-imports, and file-based routing. Use when working with Nuxt apps, server routes, useFetch, middleware, or hybrid rendering.
vue-router-best-practices
Vue Router 4 patterns, navigation guards, route params, and route-component lifecycle interactions.
jeecg-codegen
A JeecgBoot code generator that turns a natural-language request into a CRUD module: code for creating, reading, updating, and deleting records. It produces Java backend code, Vue 3 frontend code, menus, permissions, and database migration SQL.
web-3d-graphics-expert
Expert guide for WebGL and 3D graphics in the browser using Three.js, Babylon.js, React Three Fiber (R3F), and TresJS. Covers scene optimization, shaders, lighting, 3D model loading (GLTF/GLB), and performance tuning.