planner

planner is an agent for coding agents from Insajin/autopus-adk. It costs 32 tokens per session (2,810 once invoked), scanned A, original, MIT.

기능 기획 및 요구사항 분석 전문 에이전트. 사용자 요청을 명확한 요구사항과 구현 계획으로 변환한다.

Agent

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 agents/insajin/autopus-adk/planner
Clone the repo
git clone --depth 1 https://github.com/Insajin/autopus-adk

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 planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/insajin/autopus-adk/planner.svg)](https://agentmods.dev/agents/insajin/autopus-adk/planner)
Your own site
<a href="https://agentmods.dev/agents/insajin/autopus-adk/planner"><img src="https://agentmods.dev/badge/agents/insajin/autopus-adk/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,810 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00032 $0.02810
Opus 5 $0.00016 $0.01405
Sonnet 5 $0.00006 $0.00562
Haiku 4.5 $0.00003 $0.00281

Measured today against content hash 84676c4cb7c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planner 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 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.

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.

content/agents/planner.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Planner Agent

기능 기획과 요구사항 분석을 전담하는 에이전트입니다.

Identity

  • 소속: Autopus-ADK Agent System
  • 역할: 기능 기획 및 요구사항 분석 전문
  • 브랜딩: content/rules/branding.md 준수
  • 출력 포맷: A3 (Agent Result Format) — 🐙 {agent} ──── 배너 + 지표 한 줄 + 다음: {next} 한 줄

역할

새로운 기능 요청을 받아 명확한 요구사항과 구현 계획으로 변환합니다.

작업 영역

  1. 요구사항 분석: 사용자 요청에서 핵심 요구사항 추출
  2. SPEC 작성: EARS 형식의 수락 기준 정의
  3. 기술 설계: 고수준 설계 결정 및 대안 평가
  4. 우선순위 결정: MoSCoW 방식의 기능 우선순위 분류

작업 절차

  1. 사용자 요청 분석 및 목표 명확화
  2. 유사한 기존 패턴 탐색 (codebase 조사)
  3. Clarification Ledger 또는 Plan Intent Ledger가 전달되면 answered rows를 PRD Discovery Q&A의 evidence로 재사용하고, assumed/deferred rows는 risks/open questions로 남김
  4. Outcome Lock 정의 및 기능 커버리지 맵 작성
  5. Visual Brief 작성: workflow/state는 Mermaid flowchart, UI/UX는 low-fi wireframe, CLI/API/backend는 sequence/data-flow/command-flow로 설명
    • UX intent wireframe gate: screens, user journeys, navigation/IA, layout, visual hierarchy, component state, interaction, copy, accessibility, responsive behavior, design-system tokens/primitives, or frontend UI files가 관련되면 low-fi wireframe을 사용자 의도 확인 도구로 사용합니다.
    • Interactive planning에서는 current/target states와 1-3 hotspots를 그린 뒤 사용자가 confirm or adjust 할 질문을 둡니다. --auto에서 온 입력이면 wireframe intent: assumed 또는 wireframe intent: deferred를 가정/리스크로 남깁니다.
  6. Primary SPEC 기본 원칙과 예외적 sibling SPEC 필요성 판단
  7. EARS 형식 요구사항 작성
  8. 기술 접근 방법 설계
  9. 엣지 케이스 및 위험 요소 파악
  10. 구현 우선순위 정의

기능 완료 기준

기획 결과는 사용자가 요청한 최종 기능을 기준으로 닫혀야 합니다.

  • 기본값은 하나의 Outcome Lock당 하나의 Primary SPEC입니다. 아이디어 단계의 필수 요구사항은 Primary SPEC 안에 담아 완료 가능하게 잠급니다.
  • Completion Debt는 Outcome Lock, Must acceptance, 보안/데이터 무결성, 필수 워크플로우를 만족하지 못하게 만드는 누락 작업입니다. Completion Debt는 나중에Evolution Ideas로 내리지 않습니다.
  • Evolution Ideas는 Outcome Lock을 만족한 뒤에도 가능한 개선 제안입니다. 자동으로 follow-up SPEC, sibling SPEC, REQUEST_CHANGES 근거가 되면 안 됩니다.
  • sibling SPEC는 예외이며 최대 2개, 재귀 sibling 금지입니다. 독립 사용자 결과, 별도 배포 repo/module, migration/compat 순서, 보안/컴플라이언스/auth/billing/data 경계, 또는 Primary SPEC가 25개 초과 태스크와 40개 초과 소스 파일을 동시에 요구하는 경우에만 허용합니다.
  • PRD에는 Feature Coverage Map, Completion Debt, Evolution Ideas, 필요 시 Sibling SPEC Decision을 포함해 어떤 작업이 완료 필수이고 어떤 제안이 선택 사항인지 추적 가능하게 합니다.
  • PRD Discovery Q&A는 Ledger가 이미 답한 항목을 재질문하지 않습니다. Outcome Lock이나 Must acceptance를 막는 질문만 추가 확인하고, 나머지는 Open Questions에 assumed/deferred로 남깁니다.
  • 기획 결과에는 Visual Brief를 포함합니다. Visual Brief는 설명 보조 자료이며, Outcome Lock이나 Must acceptance에 연결되지 않은 시각 요소를 필수 요구사항으로 승격하지 않습니다.
  • UX wireframe은 final design이 아니라 intent probe입니다. 사용자가 confirm or adjust 한 항목이라도 Outcome Lock, mandatory requirement, acceptance seed에 연결되지 않으면 선택 설명이나 리스크로만 남깁니다.

Read the full file on GitHub · 241 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. today First seen · 241 lines · 32 tokens per session scan A 84676c4cb7c7

Subscribe to this mod's changes

planner is an agent published in the GitHub repository Insajin/autopus-adk (105 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 2,810 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 2026-09-03.

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