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 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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 5.5 | $0.00007 | $0.00088 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 6mo ago), licensed MIT. It adds 18 tokens to every session and 220 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
architecture
Architecture Design Command 🏗️.
biome
Biome JavaScript/TypeScript linter and formatter.
laravel
Laravel PHP framework best practices.
nextjs-react19
Next.js with React 19 App Router patterns.
sonicg-implement-admob-ads
OrbitalSonic Gemini Skill: First-time AdMob setup with :gmaAds from orbitalsonic/Admob-Ads — place module if missing, discover mappable screens, ask which screens then which placements, wire confirmed only (RC/prefs only for those). Use when implementing ads for the first time, or @sonicg-implement-admob-ads. Not for…
sonicg-implement-in-app-billing
OrbitalSonic Gemini Skill: Add Google Play in-app billing to a new app — subscriptions and/or one-time products — using orbitalsonic SonicInApp v4 (https://github.com/orbitalsonic/SonicInApp), BillingDataSource, paywalls, and isAppPurchased. Use when setting up billing, IAP, premium, or subscriptions for the first…