stock-data-skill
OpenClaw Skill for stock data analysis
Control PhantomBuster automation agents via API. List agents, launch automations, get output/results, check status, and abort running agents. Use when the user needs to run LinkedIn scraping, Twitter automation, lead generation phantoms, or any PhantomBuster workflow.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install capt-marbles/phantombusterExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Control your PhantomBuster automation agents from the command line.
export PHANTOMBUSTER_API_KEY=your-api-key-here
All commands use the bundled pb.py script in this skill's directory.
See all your configured PhantomBuster agents.
python3 pb.py list
python3 pb.py list --json # JSON output
Start a phantom by ID or name.
python3 pb.py launch <agent-id>
python3 pb.py launch <agent-id> --argument '{"search": "CEO fintech"}'
Fetch the results/output from the most recent run.
python3 pb.py output <agent-id>
python3 pb.py output <agent-id> --json # Raw JSON
See if an agent is running, finished, or errored.
python3 pb.py status <agent-id>
Stop an agent that's currently running.
python3 pb.py abort <agent-id>
Full details about a specific agent.
python3 pb.py get <agent-id>
Download the actual result data (CSV) from an agent's latest run.
python3 pb.py fetch-result <agent-id>
python3 pb.py fetch-result <agent-id> > output.csv
This downloads the result.csv file from the agent's S3 storage, perfect for integrating PhantomBuster data into your workflows.
PhantomBuster offers many pre-built automations:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# PhantomBuster Skill
Control your [PhantomBuster](https://phantombuster.com) automation agents from the command line.
## Setup
1. Get your API key from [Workspace Settings](https://phantombuster.com/workspace-settings)
2. Set the environment variable:
```bash
export PHANTOMBUSTER_API_KEY=your-api-key-here
```
## Usage
All commands use the bundled `pb.py` script in this skill's directory.
### List Agents
See all your configured PhantomBuster agents.
```bash
python3 pb.py list
python3 pb.py list --json # JSON output
```
### Launch an Agent
Start a phantom by ID or name.
```bash
python3 pb.py launch <agent-id>
python3 pb.py launch <agent-id> --argument '{"search": "CEO fintech"}'
```
### Get Agent Output
Fetch the results/output from the most recent run.
```bash
python3 pb.py output <agent-id>
python3 pb.py output <agent-id> --json # Raw JSON
```
### Check Agent Status
See if an agent is running, finished, or errored.
```bash
python3 pb.py status <agent-id>
```
### Abort Running Agent
Stop an agent that's currently running.
```bash
python3 pb.py abort <agent-id>
```
### Get Agent Details
Full details about a specific agent.
```bash
python3 pb.py get <agent-id>
```
### Fetch Result Data
Download the actual result data (CSV) from an agent's latest run.
```bash
python3 pb.py fetch-result <agent-id>
python3 pb.py fetch-result <agent-id> > output.csv
```
This downloads the `result.csv` file from the agent's S3 storage, perfect for integrating PhantomBuster data into your workflows.
## Example Prompts
- *"List my PhantomBuster agents"*
- *"Launch my LinkedIn Sales Navigator scraper"*
- *"Get the output from agent 12345"*
- *"Check if my Twitter follower phantom is still running"*
- *"Abort the currently running agent"*
## Common Phantoms
PhantomBuster offers many pre-built automations:
- **LinkedIn Sales Navigator Search** — Extract leads from searches
- **LinkedIn Profile Scraper** — Get profile data
- **Twitter Follower Collector*...OpenClaw Skill for stock data analysis
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