Star200+

ProphitBet Soccer Bets Predictor

REVIEW · 73
Community indexed

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Downloads0
Stars538
Version1.0.0
Quality79/100 · Strong
Trust73/100 · Sandbox only
Audit82/100 · Safe to try

Supply asset profile

Football and World Cup analytics

Football data, World Cup dashboards, xG, match prediction, scouting, and sports analytics.

Browse track

Scenario

Sports analytics

I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor

Maintenance

active

4mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

538

79/100 Quality · 81/100 Trust

Coverage tags

World CupSports analyticssports-analyticssportssoccer

Review notes

Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
79

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
73

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
82

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonSports DataCodexClaude CodeCursor

Stars

538 GitHub stars

Repo activity

538 stars, 157 forks

Maintenance

4mo since push

License

MIT

Install

npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Sports analytics workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Load football datasets

Suited agents

PythonSports DataCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor
Policy
review
Human review
yes

Trust and risk

Trust
73/100
Audit
82/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review
  • Production credentials, payments, or irreversible account changes without explicit human review

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Agent safety v2

62/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20ProphitBet%20Soccer%20Bets%20Predictor%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20ProphitBet%20Soccer%20Bets%20Predictor%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/kochlisgit-prophitbet-soccer-bets-predictor/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use ProphitBet Soccer Bets Predictor in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ProphitBet%20Soccer%20Bets%20Predictor%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kochlisgit-prophitbet-soccer-bets-predictor/install
Install command: npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/kochlisgit-prophitbet-soccer-bets-predictor/install

LLM text format

/api/skills/kochlisgit-prophitbet-soccer-bets-predictor/install?format=text

Find alternatives

/api/skills/search?q=ProphitBet%20Soccer%20Bets%20Predictor&limit=3

Agent prompt

Use ProphitBet Soccer Bets Predictor for this task. Review https://www.openagentskill.com/api/skills/kochlisgit-prophitbet-soccer-bets-predictor/install, then install with: npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/kochlisgit-prophitbet-soccer-bets-predictor

LLM text

/api/registry/manifest/kochlisgit-prophitbet-soccer-bets-predictor?format=text

Install alias

/api/registry/install/kochlisgit-prophitbet-soccer-bets-predictor

Recommend

/api/registry/recommend?task=Use%20ProphitBet%20Soccer%20Bets%20Predictor%20in%20an%20agent%20workflow&limit=3

Agent fit

94/100

Sports analytics

Use-case tags

Sports analyticsCoding agentsRAG and knowledge

Platforms

Python, Sports Data, Claude Code

Audit report

Safe to try · 82/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Sports analytics

Use this as a leading candidate, then validate the README and install path in your own agent stack.

94
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Sports analytics

Trust label

Production-ready

Install path

Command ready

Use when

  • Sports analytics workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 538 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 79/100 quality profile
  • 30 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Sports analytics task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

73
OpenAgentSkill Trust Score

GitHub adoption

INFO

538 GitHub stars

Stars/forks activity

INFO

538 stars, 157 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

4mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

79
GitHub stars
538
Freshness
4mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Analyze matches

Sports analytics

I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Workflow fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

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Overview

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

pythonFULL
sports-dataFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jun 14, 2026
Published
Jun 12, 2026

Frameworks & tools

PythonSports Data

Decision snapshot

Primary pick

94
Ready
Adopt
Stage

538 GitHub stars

Audit

Install review

Install and adoption review

82
Safe to try
Security
89/100
Maintenance
76/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for ProphitBet Soccer Bets Predictor, ready for a manual X post.

Curator note
ProphitBet Soccer Bets Predictor: ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of t...

538 stars

https://www.openagentskill.com/skills/kochlisgit-prophitbet-soccer-bets-predictor?ref=x
Open X draft
Optional reply with install command
Listing + install path for ProphitBet Soccer Bets Predictor:
https://www.openagentskill.com/skills/kochlisgit-prophitbet-soccer-bets-predictor?ref=x

Install: npx skills add kochlisGit/ProphitBet-Soccer-Bets-Predictor
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
kochlisGit
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to kochlisGit but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kochlisgit-prophitbet-soccer-bets-predictor?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kochlisgit-prophitbet-soccer-bets-predictor)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/kochlisgit-prophitbet-soccer-bets-predictor?metric=trust&label=Trust)](https://www.openagentskill.com/skills/kochlisgit-prophitbet-soccer-bets-predictor)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kochlisgit-prophitbet-soccer-bets-predictor?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kochlisgit-prophitbet-soccer-bets-predictor/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/kochlisgit-prophitbet-soccer-bets-predictor?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kochlisgit-prophitbet-soccer-bets-predictor)
Preview badge Open audit Creator kit

Author

K

kochlisGit

@kochlisgit

Tags

sportssocceranalyticsdata-visualizationdeep-neural-networksfeature-analysisfeature-importancefootball-dataimbalanced-learnimbalanced-learning

Platform fit

Claude Code

Health signals

GitHub stars
538
Quality score
50/100
Last GitHub push
Apr 16, 2026
Framework hints
2
OpenAgentSkill views
25
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

73
  • GitHub adoption538 GitHub starsINFO
  • Stars/forks activity538 stars, 157 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance4mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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