## Description: <br>
AI-assisted sports betting analysis helper for NBA and football that collects match factors, runs simple prediction logic, and produces probability, risk, and stake guidance for decision support. <br>

This skill is ready for commercial/non-commercial use. <br>

## Publisher: <br>
[nopedijah](https://clawhub.ai/user/nopedijah) <br>

### License/Terms of Use: <br>
MIT-0 <br>


## Use Case: <br>
External users and agent developers use this skill to request NBA or football matchup analysis, today-style recommendations, or analysis history summaries. The skill is for decision support and should not be treated as reliable betting advice. <br>

### Deployment Geography for Use: <br>
Global <br>

## Known Risks and Mitigations: <br>
Risk: Predictions, value-bet labels, and stake percentages may be unreliable because the skill relies heavily on simulated or random data. <br>
Mitigation: Treat outputs as illustrative analysis only, verify all data against trusted sources, and do not use the skill as the sole basis for betting decisions. <br>
Risk: Betting recommendations can create financial or legal risk for users. <br>
Mitigation: Use conservative limits, avoid automated wagering from this output, and confirm local gambling laws and personal risk constraints before acting. <br>


## Reference(s): <br>
- [ClawHub Skill Page](https://clawhub.ai/nopedijah/sports-betting-analyzer) <br>
- [README](artifact/README.md) <br>
- [Development Notes](artifact/docs/DEVELOPMENT.md) <br>


## Skill Output: <br>
**Output Type(s):** [text, markdown, shell commands, configuration, guidance] <br>
**Output Format:** [Plain text and Markdown-style analysis reports with optional JSON configuration and local history files] <br>
**Output Parameters:** [1D] <br>
**Other Properties Related to Output:** [Includes probabilities, confidence, risk level, suggested stake percentage, factor explanations, and disclaimers.] <br>

## Skill Version(s): <br>
1.0.0 (source: server release and skill frontmatter) <br>

## Ethical Considerations: <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
