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.
npx agentmods add commands/joonlab/joonlab-claudecode-setting-for-share/agentsgit clone --depth 1 https://github.com/joonlab/joonlab-claudecode-setting-for-shareWrote 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/commands/joonlab/joonlab-claudecode-setting-for-share/agents)<a href="https://agentmods.dev/commands/joonlab/joonlab-claudecode-setting-for-share/agents"><img src="https://agentmods.dev/badge/commands/joonlab/joonlab-claudecode-setting-for-share/agents.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00891 |
| Opus 5 | $0.00015 | $0.00445 |
| Sonnet 5 | $0.00006 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
agents 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.
What it actually says
Agent Execution Command
사용자가 에이전트 실행을 요청했습니다.
요청 분석
입력: $ARGUMENTS
실행 지침
Step 1: 에이전트 목록 확인
먼저 프로젝트의 에이전트 디렉토리를 확인:
.claude/agents/*.md(프로젝트 에이전트)~/.claude/agents/*.md(사용자 에이전트)
각 에이전트 파일의 YAML frontmatter에서 name과 description을 읽어 표시.
Step 2: 요청 파싱
입력에서 다음을 파악:
- 에이전트 이름 (쉼표 또는 공백으로 구분된 여러 개 가능)
--parallel플래그 유무- 추가 컨텍스트/지시사항
Step 3: 실행 계획 출력 (필수!)
에이전트 실행 전 반드시 다음 형식으로 계획 출력:
에이전트 실행 계획
요청된 에이전트: 에이전트-이름-1, 에이전트-이름-2 ...
실행 모드: 병렬 / 순차 / 단일
에이전트별 역할
| 순서 | 에이전트 | 역할 | 의존성 |
|---|---|---|---|
| 1 | agent-1 |
설명... | 없음 |
| 2 | agent-2 |
설명... | 없음 (병렬) 또는 agent-1 완료 후 |
실행 플로우 다이어그램
병렬 실행 시:
Phase 1 (동시 실행)
┌──────────────┐ ┌──────────────┐
│ agent-1 │ │ agent-2 │
│ 작업 내용 │ │ 작업 내용 │
└──────┬───────┘ └──────┬───────┘
│ │
└────────┬────────┘
▼
[결과 병합]
순차 실행 시:
┌──────────────┐
│ agent-1 │
└──────┬───────┘
│ 결과 전달
▼
┌──────────────┐
│ agent-2 │
└──────────────┘
Step 4: 에이전트 실행
단일/순차 실행: Task 도구를 순서대로 호출. 각 호출에서:
subagent_type: 에이전트 이름description: 작업 요약 (3-5 단어)prompt: 구체적인 작업 지시
병렬 실행 (--parallel):
하나의 응답에서 여러 Task 도구를 동시에 호출.
모든 Task 호출을 하나의 메시지 내 별도 tool_use 블록으로 작성하면 Claude가 동시에 실행함.
Step 5: 결과 종합
모든 에이전트 완료 후:
- 각 에이전트의 결과 요약
- 전체 작업 결과 정리
- 필요시 후속 작업 제안
사용 예시
목록 확인
/agents
/agents list
단일 실행
/agents slidev-generator 슬라이드 3개 추가
병렬 실행
/agents slidev-generator, slidev-validator --parallel
파이프라인 실행
/agents slidev-generator -> slidev-validator -> slidev-fixer
(순차 실행, 각 단계 결과를 다음 단계에 전달)
에이전트가 없는 경우
에이전트 디렉토리가 없거나 비어있으면:
"이 프로젝트에 정의된 에이전트가 없습니다. .claude/agents/ 폴더에 에이전트를 추가하세요."
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.
- 5d ago First seen · 128 lines · 30 tokens per session scan A 2c6c3edb724a
agents is a command published in the GitHub repository joonlab/joonlab-claudecode-setting-for-share (10 stars, last pushed 26d ago), licensed MIT. It adds 30 tokens to every session and 891 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.