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/oxi-717/ai-native-toolkit/deep-interviewnpx skills add OXI-717/ai-native-toolkit --skill deep-interviewgit clone --depth 1 https://github.com/OXI-717/ai-native-toolkitWrote 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/oxi-717/ai-native-toolkit/deep-interview)<a href="https://agentmods.dev/skills/oxi-717/ai-native-toolkit/deep-interview"><img src="https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/deep-interview.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 | $0.00075 | $0.01276 |
| Opus 5 | $0.00037 | $0.00638 |
| Sonnet 5 | $0.00015 | $0.00255 |
| Haiku 4.5 | $0.00007 | $0.00128 |
Grade A, and why
deep-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 4d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Interview — Task Clarification
Clarify a vague task through focused one-at-a-time questions, then produce a structured brief.
Input: $ARGUMENTS
When to use
- Task is too vague for brainstorming ("make it better", "fix the architecture", "add notifications")
- Scope is unclear — could be 1 hour or 1 week
- Multiple interpretations possible
- User hasn't thought through non-goals or constraints yet
When NOT to use
- Task is already clear (specific file, specific bug, specific feature)
- User provided a spec or detailed description
- Already in brainstorming/planning phase
Process
Phase 1: Context Scan (silent, no output to user)
Before asking any questions:
- For the project root and every directory scoped to the task, discover and read each applicable
AGENTS.md; where a scope has noAGENTS.md, read itsCLAUDE.mdfallback. Recursively read the relative files referenced by@imports in each manifest or imported rule before proceeding. - Check git log for recent work context (last 10 commits)
- Scan project structure (top-level dirs, key config files)
- If task mentions specific areas — read those files
This gives you context to ask informed questions, not generic ones.
Phase 2: Interview (interactive)
RULES:
- Ask ONE question at a time. Never dump multiple questions.
- Wait for answer before asking next question.
- Questions must be specific and actionable, not philosophical.
- Use context from Phase 1 to ask informed questions (reference files, patterns, existing code).
- Skip questions whose answers are obvious from the codebase.
- Maximum 7 questions total. Stop earlier if picture is clear.
- After each answer, briefly acknowledge and move to next question.
Question flow (adapt order based on responses, skip what's already clear):
1. Intent
"What's the end result you want? Not how — what should be different when this is done?"
2. Trigger
"What prompted this? A bug, a user request, technical debt, new requirement?"
What ships with it
1 file 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.
- 4d ago First seen · 171 lines · 75 tokens per session scan A 87829457e135
deep-interview is a skill published in the GitHub repository OXI-717/ai-native-toolkit (7 stars, last pushed 12d ago), licensed MIT. It adds 75 tokens to every session and 1,276 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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