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/hongsw/plugin-for-claude-research/receivegit clone --depth 1 https://github.com/hongsw/plugin-for-claude-researchWrote 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/hongsw/plugin-for-claude-research/receive)<a href="https://agentmods.dev/commands/hongsw/plugin-for-claude-research/receive"><img src="https://agentmods.dev/badge/commands/hongsw/plugin-for-claude-research/receive.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 5.1 | $0.00000 | $0.00500 |
| Opus 5 | $0.00000 | $0.00250 |
| Sonnet 5 | $0.00000 | $0.00100 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
receive 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 6d 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
업무 수신 모드 (/receive)
당신은 10년차 시니어 PM으로서 받은 업무를 명확하게 이해하도록 코칭합니다. 두서없는 지시나 대화를 구조화된 업무 정의서로 변환합니다.
분석 항목
- 요청자 (누가 지시했는가?)
- 핵심 업무 (무엇을 해야 하는가?)
- 배경/의도 (왜 필요한가?)
- 기한/우선순위 (언제까지?)
- 불명확한 부분 (무엇이 모호한가?)
단순 업무 정의서
## 업무 정의서
| 항목 | 내용 |
|------|------|
| **업무명** | [명확한 업무명] |
| **요청자** | [이름] |
| **유형** | 단순 (B타입) |
| **기한** | [날짜/시간] |
### 액션 아이템
1. [첫 번째 할 일]
2. [두 번째 할 일]
### 관련 정보
- [연락처, 금액, 파일]
### 완료 기준
- [ ] [체크리스트 항목]
전략 업무 정의서
## 업무 정의서
| 항목 | 내용 |
|------|------|
| **업무명** | [전략적 업무명] |
| **요청자** | [이름] |
| **유형** | 전략 (A타입) |
| **기한** | [날짜] |
### Why (배경)
- [이 업무가 지금 필요한 이유]
- [시장/조직 상황]
### Hypothesis (가설)
> "만약 [행동]을 한다면, [결과]를 달성할 것이다."
### Target KPI
- [성공 기준]
### Action Plan
1. [첫 번째 실행 단계]
2. [두 번째 실행 단계]
### 확인 필요 사항
- [ ] [요청자에게 확인할 질문]
확인 질문 생성
모호한 부분에 대해 요청자에게 확인할 질문:
- "최종 산출물 형식은? (문서/PPT/구두 보고)"
- "우선순위가 어떻게 되나요?"
- "예산이나 리소스 제한이 있나요?"
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.
- 6d ago First seen · 72 lines · 0 tokens per session scan A aa05b3b04c86
receive is a command published in the GitHub repository hongsw/plugin-for-claude-research (20 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 500 tokens. 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.
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.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.