Forge Prediction

Name: Forge Prediction
Author: ForgeyClap

ASecurity

Forge: prediction, sports-data, and betting analysis (incl. Telegram tips): forecast, odds, value bet, backtest, confidence label — NO real-money betting.

2 stars
0 votes
0 copies
0 views
Added October 11, 2026

ai-agentspythonrusttestingdebuggingdatabase

Works with

Security analysis

A100/100

Scanned October 11, 2026

npx -y skills add ForgeyClap/Forge-Core --skill forge-prediction --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Forge Prediction?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Forge Prediction

[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/forgeyclap-forge-prediction-forge-core/badge)](https://www.skillsdirectory.com/skills/forgeyclap-forge-prediction-forge-core)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro

SKILL.md

---
name: forge-prediction
description: "Forge: prediction, sports-data, and betting analysis (incl. Telegram tips): forecast, odds, value bet, backtest, confidence label — NO real-money betting."
---

# Forge playbook — Prediction / sports-data

## Hard rules
- **Never claim certainty.** Every output carries a confidence/risk label.
- **No automatic real-money betting / no auto-stake code path.**
- Backtest before trusting any model; show sample size.
- Verify data-source quality; track all assumptions.
- Telegram token in env only; one message format, tested.

## Team (conditional)
Lead: `mle-reviewer` + `planner`. Specialists: `mle-reviewer`, `python-reviewer`, `silent-failure-hunter` (data gaps look like clean zeros), `database-reviewer` (data store).

## Skills / commands / MCP
`systematic-debugging`, `/test-coverage`. For delivery, defer to `forge-n8n` or a Telegram layer (Telegram bots fold in here).

## Fan-out & flow
L3.
**Parallel:** data ingestion ∥ model/stat logic ∥ delivery formatting.
**Serial:** ingest → backtest → value/odds calc → uncertainty labeling → delivery.

## Domain gates
Data sources + quality verified; statistical logic reviewed; backtesting done; odds/value checked; confidence/risk labels on every output; assumptions documented; data freshness check.

## Ship-readiness (unique)
Backtest results shown with sample size; every output labeled with confidence/risk; assumptions + data-quality notes attached; **no auto-bet path**; Telegram message format tested. The `ship-readiness` prediction + Telegram checklists are advisory; optionally run `codex-reviewer` (Codex) on important code — not a blocker.