webiny-form-model

webiny-form-model is a skill for Claude Code, Codex from webiny/webiny-js. It costs 93 tokens per session (5,943 once invoked), scanned A, original, no licence file.

A Webiny system for defining how forms work, including their fields, layout, validation, conditional rules, calculated values, and dynamic areas. Form renderers decide how each field appears on screen.

In plain words
What is it for?
Use it to create form fields, arrange them into tabs or rows, validate input with Zod or another supported method, show fields conditionally, and calculate field values.
Why use it?
It brings form structure and behavior into one model, helping developers avoid implementing field display, validation, and layout separately.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to create form fields, arrange them into tabs or rows, validate input with Zod or another supported method, show fields conditionally, and calculate field values.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/webiny/webiny-js/form-model
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 webiny/webiny-js --skill form-model
Clone the repo
git clone --depth 1 https://github.com/webiny/webiny-js

Made for: Claude Code, Codex.

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 webiny-form-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/webiny/webiny-js/form-model/github.svg)](https://agentmods.dev/skills/webiny/webiny-js/form-model)
Your own site
<a href="https://agentmods.dev/skills/webiny/webiny-js/form-model"><img src="https://agentmods.dev/badge/skills/webiny/webiny-js/form-model/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.

agentmods 80×15 button for webiny-form-model

Your own site · 80×15
<a href="https://agentmods.dev/skills/webiny/webiny-js/form-model"><img src="https://agentmods.dev/badge/skills/webiny/webiny-js/form-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,943 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: 1 finding, 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 Tool Misuse · line 741
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
How audits are shown
Origin unknown 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 $0.00093 $0.05943
Opus 5.5 $0.00037 $0.02377
Sonnet 5.5 $0.00019 $0.01189
Haiku 4.5 $0.00009 $0.00594

Measured 1mo ago against content hash e472efa4dfd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

webiny-form-model 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 1mo 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.

skills/user-skills/admin/form-model/SKILL.md · 773 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 773 lines · 93 tokens per session scan A e472efa4dfd0

Subscribe to this mod's changes

webiny-form-model is a skill published in the GitHub repository webiny/webiny-js (8,046 stars, last pushed today), with no licence file. It adds 93 tokens to every session and 5,943 once invoked, about $0.0004 per session on Opus 5.5. 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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