auto-idea

auto-idea is a skill for Claude Code, Codex from Insajin/autopus-adk. It costs 31 tokens per session (3,904 once invoked), scanned A, original, MIT.

An idea-workshop helper that develops ideas through discussion among multiple providers, meaning different AI services or viewpoints, then records the results in a structured file. It also uses ICE scoring, which rates ideas by impact, confidence, and ease.

In plain words
What is it for?
Use it to brainstorm, define opportunities and possible solutions, identify assumptions, score ideas, preserve disagreement, and choose the top results.
Why use it?
It gives brainstorming a repeatable process for clarifying the problem, surfacing assumptions, comparing viewpoints, and selecting the strongest ideas.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to brainstorm, define opportunities and possible solutions, identify assumptions, score ideas, preserve disagreement, and choose the top results.

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Install with agentmods
npx agentmods add skills/insajin/autopus-adk/auto-idea
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.

Any agent
npx skills add Insajin/autopus-adk --skill auto-idea
Clone the repo
git clone --depth 1 https://github.com/Insajin/autopus-adk

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 auto-idea

README.md
[![agentmods](https://agentmods.dev/badge/skills/insajin/autopus-adk/auto-idea/github.svg)](https://agentmods.dev/skills/insajin/autopus-adk/auto-idea)
Your own site
<a href="https://agentmods.dev/skills/insajin/autopus-adk/auto-idea"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/auto-idea/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 auto-idea

Your own site · 80×15
<a href="https://agentmods.dev/skills/insajin/autopus-adk/auto-idea"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/auto-idea.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,904 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00031 $0.03904
Opus 5 $0.00015 $0.01952
Sonnet 5 $0.00006 $0.00781
Haiku 4.5 $0.00003 $0.00390

Measured 10d ago against content hash e88a1bdbb35d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

auto-idea 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 10d 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.

.omp/skills/auto-idea/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

auto-idea — 아이디어 브레인스토밍 스킬

OMP Invocation

  • /auto idea ...
  • /auto-idea ...
  • Load detail skill auto-idea for either entrypoint.

프로젝트: autopus-adk | 모드: full

설명

멀티 프로바이더 오케스트라를 활용해 아이디어를 구조화하고 발산 후 BS 파일로 저장합니다. ICE 스코어링으로 아이디어를 평가하고 상위 N개를 선별합니다. Opportunity-Solution Tree, 다관점 브레인스토밍, 가정 식별을 포함합니다. product-discovery, double-diamond, brainstorming 스킬의 문제 정의, 가정 검증, HMW/SCAMPER 흐름을 참고해 사용자의 의도를 먼저 구체화합니다.

Canonical Semantic Contract

{
  "schema": "orchestration-contract.v1",
  "workflow": "idea",
  "semantics": {
    "forward_strategy_and_providers": true,
    "minimum_rounds": 2,
    "fallback_minimum_rounds": 2,
    "blind_separate_judge": true,
    "fresh_judge_session": true,
    "preserve_dissent": true
  }
}

사용법

/auto-idea "아이디어 설명"
/auto-idea "아이디어 설명" --strategy consensus
/auto-idea "아이디어 설명" --auto
/auto-idea "아이디어 설명" --deep-clarify

플래그

Flag Description
--strategy 오케스트레이션 전략: debate (기본), consensus, pipeline, fastest
--providers 사용할 프로바이더 목록 (기본: 전체)
--auto 질문 없이 assumed/deferred rows 기록 후 /auto plan --from-idea BS-{ID} 자동 체이닝
--deep-clarify 기본 1문항 대신 최대 3문항까지 clarification 허용

공통 플래그

  • --multi: idea에서는 기본적으로 orchestra가 기본 엔진이므로 사실상 항상 활성 상태로 취급합니다.
  • --auto: 완료 후 plan 체이닝까지 자동 진행합니다.

OMP 기본 실행 모델

  • OMP에서는 task batch 기반 subagent-first를 기본 원칙으로 사용합니다.
  • idea에서는 메인 세션이 오케스트라 실행과 최종 합성을 담당합니다.
  • 관련 코드 탐색, 기존 패턴 조사, 리스크 정리처럼 병렬화 가능한 보조 작업은 서브에이전트로 위임합니다.
  • 현재 OMP 런타임 정책이 암묵적 task batch 호출을 제한하면, 하네스 기본값과 제약을 명시적으로 알린 뒤 사용자에게 서브에이전트 진행 여부 또는 단일 세션 진행을 확인받습니다.
  • 아이디어 발산 자체를 불필요하게 잘게 쪼개지는 않습니다.

5단계 파이프라인

Step 1: 입력 파싱

입력에서 아이디어 설명과 플래그를 추출합니다.

Step 2: Intent Clarification Q&A + What/Why/Who/When 구조화

오케스트라를 호출하기 전에 사용자의 의도를 먼저 선명하게 만듭니다.

참고 스킬:

  • product-discovery: Outcome, Opportunity, Assumption, Experiment 구조
  • double-diamond: Problem Statement와 Discover/Define 수렴
  • brainstorming: HMW, SCAMPER, ICE 발산/수렴

Read the full file on GitHub · 276 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. 10d ago First seen · 276 lines · 31 tokens per session scan A e88a1bdbb35d

Subscribe to this mod's changes

auto-idea is a skill published in the GitHub repository Insajin/autopus-adk (111 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 3,904 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.