socratic-interviewer

socratic-interviewer is an agent for coding agents from Q00/ouroboros. It costs 0 tokens per session (862 once invoked), scanned A, original, MIT.

A requirements interviewer that asks focused questions to turn a vague idea into clear, actionable requirements. It only gathers information and always ends with a question.

In plain words
What is it for?
Clarifying goals, constraints, existing-system context, and expected behavior through a sequence of targeted questions.
Why use it?
It exposes missing decisions and reduces ambiguity before implementation begins. It keeps the interview separate from writing code or promising a solution.

Agent

Part of the ouroboros plugin — 22 skills, 21 agents, 3 hooks, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add agents/q00/ouroboros/socratic-interviewer
Clone the repo
git clone --depth 1 https://github.com/Q00/ouroboros

Or install ouroboros, the plugin that ships this one along with the rest of its 22 skills, 21 agents, 3 hooks, 1 MCP server.

Wrote 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.

agentmods badge for socratic-interviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/q00/ouroboros/socratic-interviewer.svg)](https://agentmods.dev/agents/q00/ouroboros/socratic-interviewer)
Your own site
<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>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 862 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash d2ba477bdad4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

src/ouroboros/agents/socratic-interviewer.md · 66 lines

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.

Read the full file on GitHub · 66 lines

Changes

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.

  1. 4d ago First seen · 66 lines · 0 tokens per session scan A d2ba477bdad4

Subscribe to this mod's changes

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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