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 gabrielmoreira/agent-skills-mirror --skill widget-formsgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/widget-forms)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/widget-forms"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/widget-forms/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/gabrielmoreira/agent-skills-mirror/widget-forms"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/widget-forms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.02167 |
| Opus 5 | $0.00020 | $0.01084 |
| Sonnet 5 | $0.00008 | $0.00433 |
| Haiku 4.5 | $0.00004 | $0.00217 |
Grade A, and why
widget-forms 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 9d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Widget Forms
Use the form tool instead of hand-writing markup: the editor chat renders the form as an interactive card and returns the user's structured answer.
Runtime Rule
Call ask_followup_questions. It serializes your fields into the editor's
native form card; the user's submission comes back as their next message.
Plan the whole questionnaire before calling the tool. Send one final form, not a trial form followed by a corrected form. The tool supports at most 12 fields; if the user asks for more questions, merge related prompts into combined fields before the first call.
After calling ask_followup_questions, stop the turn and wait for the submitted
answer to appear in chat. Do not apply a choice, create assets, or continue
planning from a recommendation until the user's selection is present in the
conversation.
Supported Field Mapping
Build a fields array. Write every visible string in the user's conversation
language.
- Native
<form-single>->{ type: "single", variant: "default" } - Native
<form-multi>->{ type: "multi", variant: "default" } - Native
<form-text>/<form-textarea>->{ type: "text" } - Native
<form-visual>->{ type: "single", variant: "visual" } - Voice audition cards ->
{ type: "single", variant: "voice" } - Native start-scenario cards ->
{ type: "single", variant: "scenario" }
Form Copy Tone
For form-level text (title, prompt, fields[].label, submitLabel, and
messagePrefix), write like OpenChatCut is a capable video-making partner inviting
the user to describe what they want, not like a rigid survey.
Aim for:
- Warm, open-ended, and action-oriented. The copy should imply "choose the closest video need or just tell me your idea; we can figure it out together."
- Short and scannable. Use one natural sentence for
promptand concise question labels. - Honest capability framing. OpenChatCut can help with many video workflows, but do not claim unsupported abilities or guarantee a result before inputs are known.
- The user's language and local product terms. Keep "OpenChatCut", "B-roll", "Motion Graphics", "MG 动画", model/product names, and platform names in their established forms.
- User-facing creative wording. For early planning or creative-intake forms, prefer natural terms such as idea, direction, plan, story, shot list, audience, mood, or video need over internal production-document language.
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.
- 9d ago First seen · 199 lines · 40 tokens per session scan A bf6547e87ce6
widget-forms is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 2,167 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.
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