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 wecode-ai/Wegent --skill interactivegit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/interactive)<a href="https://agentmods.dev/skills/wecode-ai/wegent/interactive"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/interactive/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/wecode-ai/wegent/interactive"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/interactive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 143 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00059 | $0.01318 |
| Opus 5.5 | $0.00024 | $0.00527 |
| Sonnet 5.5 | $0.00012 | $0.00264 |
| Haiku 4.5 | $0.00006 | $0.00132 |
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 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.
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
- Gather user preferences or requirements — before starting or when more detail is needed
- Clarify ambiguous instructions — when the request could be interpreted multiple ways
- Get decisions on implementation choices as you work — when a fork in the road requires user input
- Offer choices on direction — let the user steer when multiple valid paths exist
- 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_questioninstead
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: trueto allow multiple answers to be selected - If you recommend a specific option, set
"recommended": trueon that option — the frontend will display the recommended badge automatically. NEVER add "(Recommended)", "(推荐)" or any similar text to thelabelfield — 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-itemquestionsarray. - After receiving answers, call
interactive_form_questionagain 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
questionshas:id: Unique identifierquestion: Question text shown to the userinput_type:"choice"or"text"options(optional):[{label, value, recommended?}]for choice questionsmulti_select(optional): Allow multiple selections; defaultfalserequired(optional): Whether the question must be answered; defaulttruedefault(optional): Pre-selected valuesplaceholder(optional): Placeholder for text input
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.
- 1mo ago First seen · 159 lines · 59 tokens per session scan A 1331c4d20b0c
interactive is a skill published in the GitHub repository wecode-ai/Wegent (872 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 1,318 once invoked, about $0.0002 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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