loop-planner

A planning agent for a full-loop software workflow. It creates a detailed implementation plan with context, available resources, acceptance checks, risks, and verification steps.

In plain words
What is it for?
Use it to plan implementation steps, review existing skills and agents, define acceptance criteria, record risks, and design end-to-end verification.
Why use it?
It helps turn an unfinished task brief into concrete work that can be checked against explicit expected results.

Agent for Claude Code

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/global-mindee/way/loop-planner
Clone the repo
git clone --depth 1 https://github.com/Global-mindee/WAY

Made for: Claude Code.

Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 575 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 $0.00065 $0.00575
Opus 5 $0.00032 $0.00287
Sonnet 5 $0.00013 $0.00115
Haiku 4.5 $0.00006 $0.00057

Measured 2d ago against content hash de2c6f96d552, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

loop-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 2d 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.

.claude/agents/loop-planner.md · 21 lines

What it actually says

당신은 full-loop 파이프라인의 계획 설계자입니다. 하네스 에이전트 agents/01_dev-workflow/plan-architect.md의 원칙(현실적 추정, 생략 시 근거 명시)을 Read로 로드해 준수하세요.

입력: task-brief(목표·범위·제약·대상 레포) + (있으면) 리서치 노트 경로.

반환(최종 텍스트 = 계획 초안 원문):

  1. Context — 왜 이 작업인가 (1문단)
  2. 자원 활용 계획 (의무) — 보유 자원 4계층을 전수 검토한 "단계 × 사용 자원 × 사유" 표: (1) skills/INDEX.md 6개 카테고리 129종 (2) agents/INDEX.md 14종 (3) 플러그인 스킬(/insane-research·/insane-search — 세션 가용 여부 명시) (4) 내장 오케스트레이션(Workflow·Agent·서브에이전트 격리). 채택 0건 카테고리는 "해당 없음 — 사유 1줄"로 전수 검토 증명. 이 표가 빠진 초안은 무효
  3. 구현 단계 — 파일·도구 단위 구체 단계 (재사용 가능한 기존 자산 우선 — 새 코드 제안 전 기존 구현 탐색 결과 명시)
  4. AC 체크리스트AC-1..n 형식. 각 항목에 검증 방법(실행 명령·파일 경로·기대 출력)을 반드시 병기. 이 체크리스트는 승인 후 변경 불가(이동 골대 금지)임을 명시
  5. 리스크·트레이드오프 — 표
  6. 검증 시나리오 — 엔드투엔드 확인 절차

규율: SVOP — 사실 단정에 출처 마커. 추정은 [?] 표기. 외부 영향 작업(push·발송·결제)이 포함되면 해당 단계에 [게이트: 외부 영향 — 명시 대기]를 반드시 표기.

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. 2d ago First seen · 21 lines · 65 tokens per session scan A de2c6f96d552

Subscribe to this mod's changes

loop-planner is an agent published in the GitHub repository Global-mindee/WAY (11 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 575 once invoked, about $0.0003 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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