interview

interview is a skill for Claude Code, Codex from ttxttx1111/sts2-llm. It costs 34 tokens per session (512 once invoked), scanned A, original, MIT.

A planning interview workflow that questions a design plan before implementation. It uses repeated follow-up questions to uncover assumptions, edge cases, technical choices, and integration details.

In plain words
What is it for?
Use it to review a plan file, discuss implementation and protocol details, define error behavior and edge cases, and turn the answers into a complete specification.
Why use it?
It helps expose unclear decisions before code is written, reducing the risk of implementing an incomplete or contradictory plan.

Skill for Claude CodeCodex

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 skills/ttxttx1111/sts2-llm/interview
Any agent
npx skills add ttxttx1111/sts2-llm --skill interview
Clone the repo
git clone --depth 1 https://github.com/ttxttx1111/sts2-llm

Made for: Claude Code, Codex.

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 interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/ttxttx1111/sts2-llm/interview.svg)](https://agentmods.dev/skills/ttxttx1111/sts2-llm/interview)
Your own site
<a href="https://agentmods.dev/skills/ttxttx1111/sts2-llm/interview"><img src="https://agentmods.dev/badge/skills/ttxttx1111/sts2-llm/interview.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 512 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 $0.00034 $0.00512
Opus 5 $0.00017 $0.00256
Sonnet 5 $0.00007 $0.00102
Haiku 4.5 $0.00003 $0.00051

Measured 3d ago against content hash 433e0b0093da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 3d 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.

deprecated/1/llm-slay-the-spire/.claude/skills/interview/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Skill

Read the plan file at $ARGUMENTS and conduct an exhaustive interview using the AskUserQuestion tool.

Critical Instructions

ASK MANY QUESTIONS. This is not a quick review — it's a thorough interrogation of the design. 10, 15, 20+ questions is normal and expected. Do NOT rush. Do NOT summarize early. Keep asking until EVERY ambiguity is resolved.

After EACH answer:

  • Dig deeper with follow-up questions on that topic
  • Surface implications the user may not have considered
  • Only move to the next topic when the current one is fully explored

You are done when:

  • Every technical decision has a clear rationale
  • Every edge case has a defined behavior
  • Every integration point is specified
  • You cannot think of any more meaningful questions to ask

Use your judgment — when answers start feeling complete and consistent, and you've covered all the topics below, wrap up and write the final spec. But if in doubt, ask another question.

Interview Topics (Cover ALL of These)

  • Technical implementation details (data structures, algorithms, system interactions)
  • MCP protocol specifics (tool schemas, resource URIs, error responses)
  • CommunicationMod integration (state handling, command timing, error recovery)
  • Edge cases and error handling (what happens when things go wrong?)
  • Testing strategy (unit tests, integration tests, mock game state)
  • Risks and mitigation
  • Future extensibility (how might this need to change later?)
  • Dependencies and ordering (what needs to exist first?)

Process

  1. Read the specified plan file thoroughly
  2. Identify ALL ambiguous or underspecified areas
  3. Use AskUserQuestion with 2-4 focused options per question
  4. After each answer, ask follow-up questions to go deeper
  5. Continue interviewing until the user confirms completion
  6. Update the plan file with the complete, detailed specification

Anti-Patterns to Avoid

  • Asking only 3-5 surface-level questions
  • Accepting vague answers without digging deeper
  • Moving on before a topic is fully explored
  • Summarizing and finishing early to "save time"
  • Assuming you know what the user wants

Read the full file on GitHub · 57 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. 3d ago First seen · 57 lines · 34 tokens per session scan A 433e0b0093da

Subscribe to this mod's changes

interview is a skill published in the GitHub repository ttxttx1111/sts2-llm (41 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 512 once invoked, about $0.0002 per session on Opus 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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