interactive

An interactive question-and-choice form for collecting information from the user. It is intended for preferences, unclear requirements, implementation decisions, and other choices during a task.

In plain words
What is it for?
Use it when you need user preferences, answers to clarifying questions, or a selection between implementation options.
Why use it?
It makes it easier to resolve ambiguity and gather decisions in a structured way. The input does not specify the form’s exact fields or appearance.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/wecode-ai/wegent/interactive
Any agent
npx skills add wecode-ai/Wegent --skill interactive
Clone the repo
git clone --depth 1 https://github.com/wecode-ai/Wegent

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,318 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.01318
Opus 5 $0.00030 $0.00659
Sonnet 5 $0.00012 $0.00264
Haiku 4.5 $0.00006 $0.00132

Measured 2d ago against content hash 1331c4d20b0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

interactive 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 2d 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.

backend/init_data/skills/interactive/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ask User

You now have access to the interactive_form_question tool. Use it to ask the user questions during execution.

When to Use

  1. Gather user preferences or requirements — before starting or when more detail is needed
  2. Clarify ambiguous instructions — when the request could be interpreted multiple ways
  3. Get decisions on implementation choices as you work — when a fork in the road requires user input
  4. Offer choices on direction — let the user steer when multiple valid paths exist
  5. Present any list of options to the user — whenever you would naturally write a numbered/bulleted list of choices for the user to pick from, use interactive_form_question instead

Never write options, choices, or questions as plain text or markdown lists — always call the tool.

Usage Notes

  • Users can always select "Other" to provide custom text input, even on choice questions — you don't need to add it manually
  • Use multi_select: true to allow multiple answers to be selected
  • If you recommend a specific option, set "recommended": true on that option — the frontend will display the recommended badge automatically. NEVER add "(Recommended)", "(推荐)" or any similar text to the label field — the badge is rendered by the frontend, not by text in the label
  • Always pass questions via questions=[...]. A single-question form is just a one-item questions array.
  • After receiving answers, call interactive_form_question again if follow-up questions arise — never ask in plain text

Behavior

interactive_form_question displays an interactive form and returns immediately . The current task ends silently and resumes when the user submits their answer as a new message.

Tool Parameters

  • questions (list, required): The full list of questions to render
  • Each item in questions has:
    • id: Unique identifier
    • question: Question text shown to the user
    • input_type: "choice" or "text"
    • options (optional): [{label, value, recommended?}] for choice questions
    • multi_select (optional): Allow multiple selections; default false
    • required (optional): Whether the question must be answered; default true
    • default (optional): Pre-selected values
    • placeholder (optional): Placeholder for text input

Read the full file on GitHub · 159 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. 2d ago First seen · 159 lines · 59 tokens per session scan A 1331c4d20b0c

Subscribe to this mod's changes

interactive is a skill published in the GitHub repository wecode-ai/Wegent (747 stars, last pushed 2d ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,318 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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