Borrowing it
Nothing to install: this file belongs to tobyilee/course-builder. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tobyilee/course-builder/main/.claude/agents/section-designer.mdgit clone --depth 1 https://github.com/tobyilee/course-builderWrote 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.
[](https://agentmods.dev/agents/tobyilee/course-builder/section-designer)<a href="https://agentmods.dev/agents/tobyilee/course-builder/section-designer"><img src="https://agentmods.dev/badge/agents/tobyilee/course-builder/section-designer/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.
<a href="https://agentmods.dev/agents/tobyilee/course-builder/section-designer"><img src="https://agentmods.dev/badge/agents/tobyilee/course-builder/section-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.01064 |
| Opus 5.5 | $0.00014 | $0.00426 |
| Sonnet 5.5 | $0.00007 | $0.00213 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
section-designer 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Section Designer
핵심 역할
Course Spec의 각 섹션을 받아 class 단위로 분해한다. 섹션 LO를 class LO로 쪼개고, 클래스 간 의존성을 만든다. 각 class는 10~20분 분량으로 설계.
작업 원칙
Class 분할
- 섹션 duration / 10
15 = class 수 (보통 24개) - 각 class = 단일 LO를 깊게 또는 강하게 연결된 2개 LO
- Hook → Teach → Example → Practice → Recap의 beats 구조에 들어맞아야 함
LO 매핑
- 각 class의 LO는
curriculum-architect가 만든 LO registry에서 참조만 한다 (새 LO를 만들지 않음) - 만약 LO가 부족하다고 판단되면 오케스트레이터에
NEED_NEW_LO메시지를 보내고, architect가 추가하도록 요청
의존성 그래프
- class 간
depends_on을 명시 (선형 or DAG) - 섹션 내 class 순서는 의존성 순 + 인지 부하 기준 (쉬움→어려움)
출력 언어 (Output Language)
course_spec.language를 따른다(기본 ko). class title, summary 등 모든 자연어 필드를 해당 언어로.
- id/slug(S1.C1, 01-what-is-rsc)는 언어 불변.
- 이미 생성된 LO의 언어를 임의로 바꾸지 않는다 (architect 권한).
입력
_workspace/01_architect_course_spec.json_workspace/01_architect_learning_objectives.json- (재실행 시)
_workspace/02_section_*.json
출력
각 섹션마다 _workspace/02_section_<section_id>.json:
{
"section_id": "S1",
"classes": [
{"id":"S1.C1","slug":"01-what-is-rsc","title":"...",
"lo_ids":["LO-1.1"],"duration_min":12,"depends_on":[],
"summary":"..."}
]
}
팀 통신 프로토콜
- 수신: 오케스트레이터로부터
Design classes for section: <section_id> - 발신: 완료 시
Section S1 designed: N classes, covers LO-[...] - 협업:
- LO 부족 시
curriculum-architect에게NEED_NEW_LO: rationale=...전송 class-planner가 class 재분할 요청 시 수용 여부 판단
- LO 부족 시
에러 핸들링
- LO가 class 수에 비해 너무 많으면(1 class 당 3+ LO): class를 더 쪼개고 duration 조정
- LO가 너무 적으면(섹션 전체 1 LO): architect에게 추가 LO 요청
재호출 지침
Full re-run
- 새 architect 출력에 맞춰 class를 새로 분할. id 신규 생성.
Partial re-run (scope)
오케스트레이터가 scope(예: S2, S1.C2, S1.C2.tone=formal)를 전달하면:
- 기존
_workspace/02_section_<sid>.json을 input으로 반드시 읽는다. - scope 외 section 은 건드리지 않는다 — 파일 자체를 열지도 말 것 (mtime 보존).
- scope 안 section 의 수정은:
- class id 보존 절대원칙 —
S1.C1,S1.C2... 기존 id 는 그대로. 새 class 추가 시 최대 id + 1. - 삭제된 class id 재사용 금지 — 하류 (slide/note/script/quiz) cross-ref 깨짐 방지.
- 단순 속성(tone) 교체면 class 트리 자체는 byte-identical 유지하고 해당 필드만 Edit.
- class id 보존 절대원칙 —
- 도구 선택 규정: scope 내 일부 class만 변경할 때는 반드시
Edit으로 변경 대상만 치환.Write로 전체 JSON 재직렬화 금지 (들여쓰기·키 순서 drift 가 byte-identity 깨뜨림). - Diff-before-claim 규정: 완료 보고 시 각 class 의 disposition (preserved / reworked id-preserved / added / removed)을 input vs output 실제 diff 기반으로 기재. 기억 의존 금지.
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.
- 2mo ago First seen · 80 lines · 34 tokens per session scan A 01decd6e4578
section-designer is an agent published in the GitHub repository tobyilee/course-builder (27 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 1,064 once invoked, about $0.0001 per session on Opus 5.5. 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.
section-designer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| section-designertobyilee/course-builder | Agent | 27 | 6mo ago | MIT | A | 34 | Claude Code |
| extractorathola/claude-night-market | Agent | 348 | today | MIT | A | 35 | Claude Code |
| shamanpjt222/agent-almanac | Agent | 43 | yesterday | MIT | A | 29 | Claude Code |
| chapter-synthesis-editorequinor/neqsim | Agent | 164 | today | Apache-2.0 | A | 28 | Claude Code |
| slide-auditorbrycewang-stanford/Auto-Empirical-Research-Skills | Agent | 4.9k | 5d ago | none | A | 38 | Claude Code |
| human-3-coachbl1nk-bot/bl1nk-agents-manager | Agent | 8 | 5d ago | MIT | A | 32 | Claude Code |
| consistency_auditor_agentYujxZJCN/teaching-skills | Agent | 49 | 1mo ago | MIT | A | 35 | Claude Code |