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.
Quellinformationen
- Repository
- lout33/scout-oss
- Letzte Quellaktivität
- 27. März 2026 um 19:32
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 0
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- 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/`.
Auf GitHub ansehen