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 Ramsbaby/jarvis --skill deep-interviewgit clone --depth 1 https://github.com/Ramsbaby/jarvisWrote 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/ramsbaby/jarvis/deep-interview)<a href="https://agentmods.dev/skills/ramsbaby/jarvis/deep-interview"><img src="https://agentmods.dev/badge/skills/ramsbaby/jarvis/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/ramsbaby/jarvis/deep-interview"><img src="https://agentmods.dev/badge/skills/ramsbaby/jarvis/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 | $0.00069 | $0.00786 |
| Opus 5.5 | $0.00028 | $0.00314 |
| Sonnet 5.5 | $0.00014 | $0.00157 |
| Haiku 4.5 | $0.00007 | $0.00079 |
Grade A, and why
jarvis-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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/deep-interview — Convergent Requirements Interview
Acts as a senior architect. 8-15 rounds of Socratic questions narrow a vague idea into a production-grade spec. Blocks contradictions, edge-case gaps, and security gaps before any code is written.
How it differs from /brainstorm
- /brainstorm (divergent): expand possibilities. 15-20 questions + UI mockup variants. Exits when ideation feels saturated.
- /deep-interview (convergent): spec gating. 8-15 narrowing rounds + decision log. Exits when ambiguity score ≤ threshold.
When to use which:
- Idea itself is undefined →
/brainstorm - Idea exists, implementation decisions are undefined →
/deep-interview
Mechanism (4 stages)
1. Mathematical ambiguity gating
After each round, score across:
- Undefined behavior areas
- Contradiction risk (conflicting requirements)
- Uncovered edge cases
- Security gaps (secrets, PII, permissions)
- Unidentified irreversible decisions
Refuse autonomous implementation until score ≤ 0.2 (default threshold).
2. Socratic question patterns
Examples the agent will ask:
- "What happens when X scenario triggers Y?"
- "What evidence would prove this decision wrong (falsifiability condition)?"
- "What assumptions are you carrying that aren't yet stated?"
- "What technical debt will this create one year out?"
3. Contrarian / Simplifier Challenge Mode
For each major decision, automatically run two checks:
- Contrarian: deliberately raise the counter-hypothesis (debiasing — never confirm a single hypothesis without testing its opposite)
- Simplifier: check whether a much smaller version exists (Karpathy "Simplicity First" — 200 lines vs 50 lines)
4. Decision log auto-write
All decisions, rationale, falsifiability conditions, and challenge results are recorded in JSONL for later audit.
Iron rules integration
- No fix without root cause: 5-why on each decision
- Never lie about status: "don't know" is explicitly marked, not papered over
- User sovereignty: agent questions are strong signals, not commands — user's answer is final
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 · 82 lines · 69 tokens per session scan A e941caa68b78
jarvis-deep-interview is a skill published in the GitHub repository Ramsbaby/jarvis (20 stars, last pushed 5d ago), licensed MIT. It adds 69 tokens to every session and 786 once invoked, about $0.0003 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 2026-08-30.
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