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 skeletorflet/opencode-supreme-setup --skill discovery-question-formgit clone --depth 1 https://github.com/skeletorflet/opencode-supreme-setupWrote 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/skeletorflet/opencode-supreme-setup/discovery-question-form)<a href="https://agentmods.dev/skills/skeletorflet/opencode-supreme-setup/discovery-question-form"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/discovery-question-form.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00015 | $0.00285 |
| Opus 5 | $0.00008 | $0.00143 |
| Sonnet 5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
discovery-question-form 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 8d 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.
What it actually says
Discovery question form
When the user's brief is ambiguous, the agent's first turn must surface
the smallest possible set of clarifying questions that unblock the rest
of the workflow. The questions are rendered as a structured form
(GenUI surface kind: form, persist tier: conversation so a follow-
up turn doesn't re-ask).
When to fire
- Brief is missing audience, target medium, or core intent.
- Brief explicitly invites questions ("ask me anything if unclear").
- The discovery skill or pipeline declares a
discoverystage.
Question shape (as the agent emits one)
{
"id": "audience",
"label": "Who's the primary audience?",
"type": "checkbox", // or 'radio' | 'text' | 'number'
"options": ["VC", "Customer", "Internal team"],
"maxSelections": 2,
"required": true
}
Convergence
The discovery atom completes when every required question has an answer
in genui_surfaces for the current conversation. The agent should not
loop back to discovery after that — the same surface id renders cached
on the next turn.
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.
- 8d ago First seen · 42 lines · 15 tokens per session scan A 7b0befe66be1
discovery-question-form is a skill published in the GitHub repository skeletorflet/opencode-supreme-setup (47 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 285 once invoked, about $0.0001 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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