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 skills add mupengi-bot/mupengism --skill trend-radargit clone --depth 1 https://github.com/mupengi-bot/mupengismWrote 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/skills/mupengi-bot/mupengism/trend-radar)<a href="https://agentmods.dev/skills/mupengi-bot/mupengism/trend-radar"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/trend-radar/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/skills/mupengi-bot/mupengism/trend-radar"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/trend-radar.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 | $0.00017 | $0.01260 |
| Opus 5 | $0.00009 | $0.00630 |
| Sonnet 5 | $0.00003 | $0.00252 |
| Haiku 4.5 | $0.00002 | $0.00126 |
Grade A, and why
trend-radar 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 11d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
trend-radar
기술 및 시장 트렌드를 자동으로 모니터링하고 주간 리포트를 생성하는 스킬입니다.
기능
- 키워드 리스트 기반 웹 검색 (
web_search활용) - 카테고리: AI, SaaS, 한국 스타트업, OpenClaw 생태계
- 주간 변화 감지 + 중요도 점수 (1-10)
- 결과:
memory/research/trend-YYYY-WXX.md - cron 연동: 매주 월요일 09:00 자동 실행
사용법
트리거 키워드:
- "트렌드"
- "trend radar"
- "이번주 동향"
- "시장 트렌드"
예시:
이번주 AI 트렌드 리포트 작성해줘
모니터링 키워드
AI/ML
- Claude, GPT-5, Gemini, Llama
- AI agents, RAG, multimodal AI
- AI startup funding
- AI regulation (EU AI Act, Korea)
SaaS/Productivity
- Notion AI, Linear, Slack AI
- Low-code/No-code platforms
- Developer tools (GitHub Copilot, Cursor)
한국 스타트업
- 토스, 당근마켓, 무신사
- 신규 투자 뉴스 (500억 이상)
- 정부 지원 정책
OpenClaw 생태계
- Anthropic announcements
- Claude API updates
- Community showcase
리포트 형식
# 트렌드 레이더 YYYY-WXX
**리포트 기간**: YYYY-MM-DD ~ YYYY-MM-DD
**생성일**: YYYY-MM-DD
**카테고리**: AI, SaaS, 한국 스타트업, OpenClaw
---
## 🔥 Top 3 하이라이트
1. **[제목]** (중요도: ⭐⭐⭐⭐⭐ 9/10)
- 요약: ...
- 출처: [링크]
- 왜 중요한가: ...
2. **[제목]** (중요도: ⭐⭐⭐⭐ 8/10)
- ...
3. **[제목]** (중요도: ⭐⭐⭐⭐ 7/10)
- ...
---
## 📊 카테고리별 동향
### AI/ML
- **Claude 3.5 Sonnet 업데이트**: ...
- **OpenAI GPT-5 루머**: ...
- **한국 AI 규제 법안 통과**: ...
**변화 감지**:
- ⬆️ AI agent 검색량 +35% (전주 대비)
- ⬇️ NFT/Web3 언급 -20%
### SaaS/Productivity
- **Notion Q4 실적 발표**: ...
- **Linear 신규 기능**: ...
### 한국 스타트업
- **토스뱅크 IPO 소식**: ...
- **무피 포토부스 대학 축제 확산**: (직접 관련 있으면 추가)
### OpenClaw 생태계
- **Anthropic Claude 4 발표**: ...
- **커뮤니티 쇼케이스**: ...
---
## 📈 주간 통계
| 카테고리 | 신규 뉴스 | 중요 이슈 | 전주 대비 |
|----------|-----------|-----------|-----------|
| AI/ML | 47건 | 12건 | +5% |
| SaaS | 23건 | 3건 | -2% |
| 한국 스타트업 | 18건 | 5건 | +12% |
| OpenClaw | 8건 | 2건 | +1% |
---
## 💡 인사이트
- **AI 에이전트 생태계 급성장**: ...
- **한국 정부 AI 규제 강화 조짐**: ...
- **개발자 도구 시장 재편**: ...
---
## 🔮 다음 주 주목할 키워드
- [ ] GPT-5 공식 발표 여부
- [ ] 토스 IPO 일정
- [ ] Claude API 가격 인하 가능성
---
**생성**: trend-radar v1.0 | 무펭이 🐧
중요도 점수 기준
| 점수 | 기준 |
|---|---|
| 9-10 | 산업 전체 영향 / 즉시 대응 필요 |
| 7-8 | 주요 플레이어 동향 / 관심 필요 |
| 5-6 | 흥미로운 발견 / 참고용 |
| 1-4 | 미미한 영향 / 선택적 |
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.
- 11d ago First seen · 188 lines · 17 tokens per session scan A ac26deee6f7f
trend-radar is a skill published in the GitHub repository mupengi-bot/mupengism (10 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 1,260 once invoked, about $0.0001 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.
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