Back to skills
SKILL.md
Forge Prediction
ASecurityPlaybook for predictions and sports data: odds, backtests, no betting (gebruik bij voorspellingen).
- 2 stars
- 0 votes
- 0 copies
- 0 views
- Added November 11, 2026
Works with
Security analysis
100/100npx -y skills add ForgeyClap/Forge-Core --skill forge-prediction --agent claude-codeAre you the author of Forge Prediction?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/forgeyclap-forge-prediction-a8322cb7)---
name: forge-prediction
description: "Playbook for predictions and sports data: odds, backtests, no betting (gebruik bij voorspellingen)."
# A10 original description (listing budget): "Playbook for predictions and sports data: odds, backtests, confidence labels, no betting (gebruik bij voorspellingen)."
---
# Forge playbook — Prediction / sports-data
## When to use
- Use for: prediction and sports-data systems, including Telegram delivery.
## 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.
## Safety, approval and honesty
- Approval / safety: no automatic real-money betting / no auto-stake code path.
- Approval / safety: Telegram token in env only.
- Honest failure: never claim certainty: every output carries a confidence/risk label; backtests show sample size.
- Shared gates for every playbook (honesty, owner approval, secrets, reviews): `.claude/docs/forge-reference/playbook-template.md`.
Attribution
Related skills
View all in ai-agents →Comments
Loading comments…
Newsletter
Get the weekly list of safe new skills, and the ones we pulled.