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 agentmods add skills/voxtechnologies/anty-framework/quest-interviewnpx skills add VoxTechnologies/anty-framework --skill quest-interviewgit clone --depth 1 https://github.com/VoxTechnologies/anty-frameworkWhat 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 | $0.00074 | $0.01568 |
| Opus 5 | $0.00037 | $0.00784 |
| Sonnet 5 | $0.00015 | $0.00314 |
| Haiku 4.5 | $0.00007 | $0.00157 |
Grade A, and why
quest-interview 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- quest-interview — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QUEST Interview Method
When to Apply
- Onboarding conversational interview
- Gathering business context or validating assumptions
- Post-choice conversational follow-up
- When the founder's reasoning needs to be surfaced
- Any discovery conversation about the business
Core Framework
Socratic Posture
- "I am the beginner, you are the expert" — the founder knows their domain; draw it out
- Empathic neutrality — acknowledge what is said without emotional mirroring, praise, or judgment. No "That's great!" or "That must be tough." Follow with a question instead.
- One question at a time — never stack multiple questions in a single message
- Insert brief acknowledgment before each new question — no rapid-fire
Downward -> Upward Questioning
Each topic follows a two-phase pattern:
Phase 1 — Downward (establish facts):
"Tell me about your current customers."
"Who specifically is using your product today?"
"How did they find you?"
"What do they pay?"
Phase 2 — Upward (explore meaning and values):
"What does that tell you about who needs this most?"
"How does that shape your view of the ideal customer?"
"What would change if you focused entirely on that segment?"
Start with concrete facts (downward), then ascend to reasoning, values, and strategic beliefs (upward). Prevents premature abstraction.
Key Techniques
"Tell me..." Opener: For sensitive topics (failures, pivots, struggles), use "Tell me..." instead of direct questions. Lowers defensiveness, invites narrative.
Echo Questions: Reflect a key phrase back as a question to go deeper:
Founder: "We need to build trust before people buy."
Agent: "You mentioned trust. What does building trust look like
specifically in your sales process?"
Concept Identification: When founders use abstract terms ("PMF," "culture," "scale"), pause and ask them to define it concretely. Different founders mean different things by the same words.
Permission Checks: Before entering sensitive territory:
- "I'd like to explore your competitive landscape more deeply — is that something you'd like to dig into?"
- "Would it be helpful to think through your pricing strategy together?"
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.
- 2d ago First seen · 155 lines · 74 tokens per session scan A a192fdf15a80
quest-interview is a skill published in the GitHub repository VoxTechnologies/anty-framework (6 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 1,568 once invoked, about $0.0004 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 2026-08-31.
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