scout
Run a local web research agent and mission-driven intelligence scanner that searches multiple sources and writes markdown briefs. Best for trend monitoring, opportunity scouting, builder discovery, and technical signal scanning.
소스 정보
- 저장소
- lout33/scout-oss
- 최근 소스 활동
- 2026년 3월 27일 19:32
- 감지된 SKILL.md 언어
- 영어
- 스타
- 0
- 포크
- 0
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- name
- scout
- description
- Run a local web research agent and mission-driven intelligence scanner that searches multiple sources and writes markdown briefs. Best for trend monitoring, opportunity scouting, builder discovery, and technical signal scanning.
- allowed-tools
- ["Bash","Read"]
# Scout
Mission-driven local web research agent backed by the files in this directory.
## What it does
- plans a scan from a mission
- calls source adapters to gather signal
- follows promising leads
- writes a markdown brief to `inbox/`
Best for:
- technical trend monitoring
- open-source discovery
- opportunity scouting
- builder and ecosystem research
## Working adapters
- Hacker News
- GitHub
- Jina Reader
## Setup
```bash
pip install -r requirements.txt
cp .env.example .env
```
Then configure one of:
- Codex auth: `codex login --device-auth`
- `ANTHROPIC_API_KEY`
Optional:
- `JINA_API_KEY`
- `GITHUB_TOKEN`
## Direct commands
```bash
python agent.py --mission "Find 3 interesting technical signals from today" --tokens 5000
./quick.sh --mission "Find 2 interesting GitHub repos from this week"
./scout.sh --tokens 20000 --mission "Find open-source agent tooling worth tracking"
./daily.sh --tokens 10000
```
## Recommended smoke test
```bash
python agent.py --mission "Use hn_front, github_trending, and jina_read to find 2 interesting technical signals from today and write a brief." --tokens 2500
```
If the setup works, Scout writes a markdown brief to `inbox/`.
GitHub에서 보기