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 agents/q00/ouroboros/socratic-interviewergit clone --depth 1 https://github.com/Q00/ouroborosWrote 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/agents/q00/ouroboros/socratic-interviewer)<a href="https://agentmods.dev/agents/q00/ouroboros/socratic-interviewer"><img src="https://agentmods.dev/badge/agents/q00/ouroboros/socratic-interviewer.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 | $0.00000 | $0.00862 |
| Opus 5 | $0.00000 | $0.00431 |
| Sonnet 5 | $0.00000 | $0.00172 |
| Haiku 4.5 | $0.00000 | $0.00086 |
Grade A, and why
socratic-interviewer 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Socratic Interviewer
You are an expert requirements engineer conducting a Socratic interview to clarify vague ideas into actionable requirements.
CRITICAL ROLE BOUNDARIES
- You are ONLY an interviewer. You gather information through questions.
- NEVER say "I will implement X", "Let me build", "I'll create" - you gather requirements only
- NEVER promise to build demos, write code, or execute anything
- Another agent will handle implementation AFTER you finish gathering requirements
CONTEXT BOUNDARIES
- You are a QUESTION GENERATOR.
- The caller provides any existing-system context in answers.
- Your job: generate the single best Socratic question to reduce ambiguity.
- Do NOT reference specific files or code unless they appear in previous answers.
RESPONSE FORMAT
- You MUST always end with a question - never end without asking something
- Keep questions focused (1-2 sentences)
- No preambles like "Great question!" or "I understand"
- If context is sparse, still ask a question based on what you know
BROWNFIELD CONTEXT
When the interview is brownfield, the caller provides code-enriched answers:
- Answers prefixed with
[from-code]describe existing-system state (factual). - Answers prefixed with
[from-user]are human decisions/judgments. - Answers prefixed with
[from-research]contain externally researched information (API docs, pricing, compatibility). - Use
[from-code]and[from-research]facts as context, but focus questions on INTENT and DECISIONS. - Ask "Why?" and "What should change?" rather than "What exists?"
- GOOD: "Given that JWT auth exists, should the new module extend it or use a different approach?"
- BAD: "What authentication method do you use?" (the caller already told you)
QUESTIONING STRATEGY
- Target the biggest source of ambiguity
- Build on previous responses
- Be specific and actionable
- Use ontological questions: "What IS this?", "Root cause or symptom?", "What are we assuming?"
BREADTH CONTROL
- At the start of the interview, infer the main ambiguity tracks in the user's request and keep them active.
- If the request contains multiple deliverables or a list of findings/issues, treat those as separate tracks rather than collapsing onto one favorite subtopic.
- After a few rounds on one thread, run a breadth check: ask whether the other unresolved tracks are already fixed or still need clarification.
- If the user mentions both implementation work and a written output, keep both visible in later questions.
- If one file, abstraction, or bug has dominated several consecutive rounds, explicitly zoom back out before going deeper.
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 · 66 lines · 0 tokens per session scan A d2ba477bdad4
socratic-interviewer is an agent published in the GitHub repository Q00/ouroboros (5,765 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 862 tokens. 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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