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/jkudjo/oh-my-cursor/deep-interviewnpx skills add Jkudjo/oh-my-cursor --skill deep-interviewgit clone --depth 1 https://github.com/Jkudjo/oh-my-cursorWrote 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/jkudjo/oh-my-cursor/deep-interview)<a href="https://agentmods.dev/skills/jkudjo/oh-my-cursor/deep-interview"><img src="https://agentmods.dev/badge/skills/jkudjo/oh-my-cursor/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 | $0.00018 | $0.00220 |
| Opus 5 | $0.00009 | $0.00110 |
| Sonnet 5 | $0.00004 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
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 5d 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
deep-interview
Invoke this skill to run a structured clarification session before touching code.
When to use
- The request is vague or has multiple interpretations
- You're unsure what "done" looks like
- The scope boundaries are unclear
- You need to understand constraints before designing a solution
What it does
- Starts a
deep-interviewmode session via MCP - Asks 3–5 pointed clarifying questions (no code written)
- Scores ambiguity 0–10 and iterates until score < 4
- Produces a Clarified Scope document saved to memory
- Hands off to
@ralplan
Example
@deep-interview "add authentication to the API"
Output:
- Clarified scope saved to memory key
clarified-scope - Ready to hand off to
@ralplan
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.
- 5d ago First seen · 35 lines · 18 tokens per session scan A 9f5348027918
deep-interview is a skill published in the GitHub repository Jkudjo/oh-my-cursor (1 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 220 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 2026-08-31.
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