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/q00/ouroboros/interviewnpx skills add Q00/ouroboros --skill interviewgit clone --depth 1 https://github.com/Q00/ouroborosWhat 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 | $0.00011 | $0.11580 |
| Opus 5 | $0.00005 | $0.05790 |
| Sonnet 5 | $0.00002 | $0.02316 |
| Haiku 4.5 | $0.00001 | $0.01158 |
Grade A, and why
interview scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s --max-time 3 https://api.github.com/repos/Q00/ouroboros/releases/latest | grep -o '"tag_name": "[^"]*"' | head -1 How it starts
The opening of the file, as written. The whole thing — 914 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ouroboros:interview
Socratic interview to crystallize vague requirements into clear specifications.
Required Skill Capabilities
ask_user— ask human-judgment questions through the active runtime's user-question surface.inspect_code— answer repo-local factual questions from exact local files before asking the user.call_mcp— use Ouroboros MCP tools for persistent interview state and seed generation.run_lateral_review— invoke lateral thinking subagents before milestone turns and direct-answer synthesis.web_research— fetch current external facts only when the interview genuinely depends on them.run_shell— run bounded local commands for version checks and repository inspection.refine_answer— confirm structured interpretations of free-text answers before forwarding them.maintain_ledger— keep ambiguity, gates, and unresolved decisions visible in the main session.run_closure_gate— audit readiness locally even when MCP reportsseed-ready.restate_goal— restate the goal and require explicit approval before seed generation.
Non-Skippable Gates
- Refine free-text answers that carry scope, constraints, or decisions.
- Maintain a visible ambiguity ledger in the main session.
- Treat MCP
seed-readyas permission to audit closure, not as completion. - Apply Seed Closer criteria before suggesting or running seed generation.
- Run the Restate gate before seed generation.
- Require explicit user approval before suggesting or running seed generation.
Usage
ooo interview [topic]
/ouroboros:interview [topic]
Trigger keywords: "interview me", "clarify requirements"
Instructions
When the user invokes this skill:
Step 0: Version Check (runs before interview)
Before starting the interview, check if a newer version is available:
# Fetch latest release tag from GitHub (timeout 3s to avoid blocking)
curl -s --max-time 3 https://api.github.com/repos/Q00/ouroboros/releases/latest | grep -o '"tag_name": "[^"]*"' | head -1
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.
- today Changed · +29 lines 404cf415e3ff
- 3d ago First seen · 885 lines · 11 tokens per session scan A 0e9a26b48429
interview is a skill published in the GitHub repository Q00/ouroboros (5,747 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 11,580 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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