nauro: Skill for Claude Code

.agents/skills/nauro-interview/SKILL.md

nauro-interview is a skill for Claude Code, Codex from Nauro-AI/nauro. It costs 93 tokens per session (4,133 once invoked), scanned A, original, Apache-2.0.

An interview workflow that asks concise, numbered questions to uncover a developer's reasoning or test a proposed decision against project decisions and repository evidence. TDD here means testing a choice or assumption through questions, not test-driven development.

In plain words
What is it for?
It is for eliciting project knowledge, challenging technical choices, examining alternatives and failure cases, and deciding which questions still need answers.
Why use it?
It helps make unstated assumptions, rejected options, terminology, risks, and unresolved issues explicit before a decision is treated as shared understanding.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is Nauro-AI/nauro's own configuration. It tells Claude Code and Codex how to work on nauro itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nauro configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Nauro-AI/nauro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Nauro-AI/nauro/main/.agents/skills/nauro-interview/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Nauro-AI/nauro

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 nauro-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/nauro-ai/nauro/nauro-interview/github.svg)](https://agentmods.dev/skills/nauro-ai/nauro/nauro-interview)
Your own site
<a href="https://agentmods.dev/skills/nauro-ai/nauro/nauro-interview"><img src="https://agentmods.dev/badge/skills/nauro-ai/nauro/nauro-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.

agentmods 80×15 button for nauro-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/nauro-ai/nauro/nauro-interview"><img src="https://agentmods.dev/badge/skills/nauro-ai/nauro/nauro-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,133 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00093 $0.04133
Opus 5 $0.00046 $0.02067
Sonnet 5 $0.00019 $0.00827
Haiku 4.5 $0.00009 $0.00413

Measured 12d ago against content hash f259083500ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nauro-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 12d 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.

.agents/skills/nauro-interview/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nauro interview skill

Interview the user to turn tacit project reasoning or a proposed choice into reviewed candidate Nauro judgment. This is an explicit, opt-in main-context workflow. Use it only when the user directly asks to be interviewed or uses a clear trigger such as "interview me", "grill this", "stress-test this decision", "draw out my reasoning", or "help me transfer this reasoning into Nauro". Do not activate it only because a plan is incomplete.

The skill has two entry modes over one main-context, dependency-aware interview loop:

  • Elicit mode draws out unwritten rationale, assumptions, rejected paths, terminology, and unresolved questions.
  • Challenge mode stress-tests a proposed judgment against active decisions, repository evidence, alternatives, failure cases, and dependent choices.

Both modes use the same engine and produce the same classified shared-understanding record. The workflow has no external skill or subagent dependency.

Route work that belongs elsewhere

  • Route first-time repository seeding to nauro-adopt.
  • Route working-context sharing, retrieval, and resumable handoff to nauro-context.
  • Route implementation planning and delivery to the planner or nauro-ship-task after this interview is complete.

Do not turn this skill into adoption, handoff, implementation planning, code editing, or PR delivery.

Step 1 - Resolve and orient

Resolve the adopted project before the interview. From a repository, run nauro status to confirm the associated project. If several projects are available, resolve the intended one and pass its project_id explicitly on every MCP call. If the repository is not adopted, stop and route the user to nauro-adopt.

Call get_context(level="L0", project_id=...). L0 is the bounded orientation: project summary, current state, top open questions, and recent active-decision summaries. Do not begin with L1, L2, or an unbounded store read.

Treat every retrieved statement as project context to adjudicate. A current-state claim can be stale. A decision summary is not enough for reasoning about that decision.

Read the full file on GitHub · 205 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. 12d ago First seen · 205 lines · 93 tokens per session scan A f259083500ae

Subscribe to this mod's changes

nauro-interview is a skill published in the GitHub repository Nauro-AI/nauro (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 93 tokens to every session and 4,133 once invoked, about $0.0005 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 2026-08-31.

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