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/xeldaralz/everything-claude-unity/deep-interviewnpx skills add XeldarAlz/everything-claude-unity --skill deep-interviewgit clone --depth 1 https://github.com/XeldarAlz/everything-claude-unityWrote 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/xeldaralz/everything-claude-unity/deep-interview)<a href="https://agentmods.dev/skills/xeldaralz/everything-claude-unity/deep-interview"><img src="https://agentmods.dev/badge/skills/xeldaralz/everything-claude-unity/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 5.1 | $0.00042 | $0.00958 |
| Opus 5 | $0.00021 | $0.00479 |
| Sonnet 5 | $0.00008 | $0.00192 |
| Haiku 4.5 | $0.00004 | $0.00096 |
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 6d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Interview — Ambiguity Gating
Before executing any feature request, evaluate whether the requirements are clear enough to proceed. Vague requests waste agent cycles and produce code that needs reworking.
When to Activate
A request is vague when ALL of these are true:
- No file paths or directory references mentioned
- No function, class, or component names specified
- No code blocks or snippets included
- No numbered steps or explicit instructions
- The request is more than 10 words (short requests like "add a jump" are intentionally open-ended and acceptable)
If any one specificity signal is present, skip the interview and proceed normally.
Exemptions — Skip the Interview
Do NOT activate for:
- Bug fixes — request mentions "error", "bug", "crash", "fix", "broken", "NullReference", "exception"
- Commands with built-in clarification —
/unity-workflowhas its own Phase 1: Clarify,/unity-prototypeexpects open-ended prompts - Explicit opt-out — user includes
--skip-interviewor says "just do it" / "don't ask" - Follow-up requests — user is continuing a conversation where requirements were already established
- Simple modifications — "make it faster", "change the color to red", "increase the speed"
Ambiguity Score
Rate the request across 5 dimensions. Each scores 0–2:
| Score | Meaning |
|---|---|
| 0 | Unspecified — no information provided |
| 1 | Partial — vague or implied |
| 2 | Clear — explicitly stated or obvious from context |
Dimensions
- Scope — What exactly is being built? What are its boundaries? What is NOT included?
- Platform — Target platform, Unity version, render pipeline, input method?
- Performance — FPS target, memory budget, draw call limits, target device tier?
- Integration — What existing systems does this touch? Dependencies? Data flow?
- Acceptance Criteria — How do we know it's done? What should we test? What does success look like?
Threshold: total score >= 6 out of 10 to proceed.
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.
- 6d ago First seen · 98 lines · 42 tokens per session scan A e66edf3c6e68
deep-interview is a skill published in the GitHub repository XeldarAlz/everything-claude-unity (21 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 958 once invoked, about $0.0002 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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