bootstrap-interviewer

bootstrap-interviewer is a skill for Claude Code, Codex from regen-coordination/org-os-template. It costs 16 tokens per session (1,423 once invoked), scanned A, original, MIT.

A guided setup interview for creating a new org-os workspace. It asks about the organization, its type, mission, values, and network, then uses the answers to create core workspace files.

In plain words
What is it for?
Use it when starting an org-os instance for a DAO, cooperative, nonprofit, local node, network hub, fund, initiative, or coalition. It helps set up identity, mission, values, and federation details.
Why use it?
It removes the need to create and fill in the initial organization files by hand. The interview also gives the workspace enough identity and context to guide later work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/regen-coordination/org-os-template/bootstrap-interviewer
Any agent
npx skills add regen-coordination/org-os-template --skill bootstrap-interviewer
Clone the repo
git clone --depth 1 https://github.com/regen-coordination/org-os-template

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 bootstrap-interviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/regen-coordination/org-os-template/bootstrap-interviewer.svg)](https://agentmods.dev/skills/regen-coordination/org-os-template/bootstrap-interviewer)
Your own site
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/bootstrap-interviewer"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/bootstrap-interviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,423 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 5.1 $0.00016 $0.01423
Opus 5 $0.00008 $0.00711
Sonnet 5 $0.00003 $0.00285
Haiku 4.5 $0.00002 $0.00142

Measured 5d ago against content hash 9ccfce5dddc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

bootstrap-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 5d 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.

skills/bootstrap-interviewer/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bootstrap Interviewer

When to Use

Activate when setting up a new org-os instance for the first time, or when an operator says "bootstrap", "setup", or "initialize". This skill replaces the manual file creation process with a guided conversation.

Procedure

Step 1: Welcome & Context

Greet the operator and explain what will happen:

"Welcome to org-os! I'll ask you a few questions to set up your organizational workspace. This will take about 10 minutes. I'll generate your core files automatically — you can always edit them later."

Step 2: Organization Identity

Ask these questions (adapt based on answers):

  1. "What is your organization's name?" → Used for: SOUL.md title, IDENTITY.md name, federation.yaml identity.name

  2. "What type of organization is this?" Options: DAO, cooperative, nonprofit, local node, network hub, fund, initiative, coalition → Used for: IDENTITY.md type, federation.yaml identity.type

  3. "What is your mission in one or two sentences?" → Used for: SOUL.md mission section

  4. "What are your core values? (list 3-5)" → Used for: SOUL.md values section

  5. "What blockchain or network does your organization operate on? (if any)" → Used for: IDENTITY.md chain, federation.yaml identity.chain

Step 3: Team

  1. "Who are the core members? For each, give me: name, role, and how to reach them (GitHub, Telegram, email)" → Used for: data/members.yaml

Step 4: Projects

  1. "What are your active projects or initiatives? For each: name, status (idea/developing/executing), and who leads it" → Used for: data/projects.yaml

Step 5: Communication

  1. "What communication channels does your org use? (Telegram, Discord, email, etc.) For each: name, URL, and purpose" → Used for: data/channels.yaml

Step 6: Network

  1. "Is this organization part of a larger network or federation? If so, which one?" → Used for: federation.yaml federation section

  2. "Are there peer organizations you coordinate with?" → Used for: federation.yaml peers

Read the full file on GitHub · 187 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. 5d ago First seen · 187 lines · 16 tokens per session scan A 9ccfce5dddc2

Subscribe to this mod's changes

bootstrap-interviewer is a skill published in the GitHub repository regen-coordination/org-os-template (5 stars, last pushed 6d ago), licensed MIT. It adds 16 tokens to every session and 1,423 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens