DB Football

REVIEW · 68
Community indexed

A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.

Downloads 0
Stars 116
Version 1.0.0
Quality 42/100 · Needs review
Trust 68/100 · Manual review
Audit 60/100 · Needs review

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 Shanghai-Digital-Brain-Laboratory/DB-Football

Maintenance

stale

2y since push

Risk

Needs review

License is unclear

GitHub quality

116

42/100 quality · 68/100 trust

Coverage tags

World CupSports analyticssports-analyticssportsfootball

Review notes

License is unclear · Repository appears stale

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

Needs review
42

Inspect the repository carefully before adding it to an agent workflow.

Trust

Manual review
68

Potentially useful, but at least one trust signal needs human inspection.

Audit

Needs review
60

Install readiness, security metadata, maintenance, and adoption risk.

Agent safety v2

44/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

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.

  • License is unclear

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

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

$ npx skills add Shanghai-Digital-Brain-Laboratory/DB-Football

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

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 DB Football in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20DB%20Football%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/shanghai-digital-brain-laboratory-db-football/install
Install command: npx skills add Shanghai-Digital-Brain-Laboratory/DB-Football
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

Agent prompt

Use DB Football for this task. Review https://www.openagentskill.com/api/skills/shanghai-digital-brain-laboratory-db-football/install, then install with: npx skills add Shanghai-Digital-Brain-Laboratory/DB-Football

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

Agent fit

32/100

Sports analytics

Platforms

Python, Sports Data, Claude Code

Audit report

Needs review · 60/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Needs validation for Sports analytics

Do a manual repository review before adding this to an agent workflow.

32
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Sports analytics

Trust label

Needs manual review

Install path

Command ready

Use when

  • Sports analytics workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 42/100 quality profile

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

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

Manual review

Potentially useful, but at least one trust signal needs human inspection.

68
Trust score

GitHub adoption

INFO

116 GitHub stars

Recent maintenance

FIX

2y since push

License clarity

CHECK

Unknown

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available

Review before install

  • License is unclear
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push
  • License clarity: Unknown

Recommended action

Inspect the repository, license, and recent activity before connecting it to agent workflows.

Quality profile

Needs review candidate for agent workflows

Inspect the repository carefully before adding it to an agent workflow.

42
GitHub stars
116
Freshness
2y ago
Install ready
Yes
License
Unknown
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.

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
Unknown
Last Updated
6/13/2026
Published
6/12/2026

Frameworks & Tools

PythonSports Data

Decision snapshot

Needs validation

32
Ready
Review
Stage

install command or GitHub repo available

Audit Snapshot

Install and adoption review

60
Needs review
Security
87/100
Maintenance
20/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for DB Football, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: DB Football

Use it when you want an agent to turn market noise into source-backed research, ran...

116 stars - sports-analytics
Link: https://www.openagentskill.com/skills/shanghai-digital-brain-laboratory-db-football?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for DB Football:
https://www.openagentskill.com/skills/shanghai-digital-brain-laboratory-db-football?ref=x

Install: npx skills add Shanghai-Digital-Brain-Laboratory/DB-Football

Listing source

Community indexed

Claimable

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

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 Shanghai-Digital-Brain-Laboratory 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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/shanghai-digital-brain-laboratory-db-football)](https://www.openagentskill.com/skills/shanghai-digital-brain-laboratory-db-football)

Author

S

Shanghai-Digital-Brain-Laboratory

@shanghai-digital-brain-laboratory

Platform Fit

Health Signals

GitHub stars
116
Quality score
33/100
Last GitHub push
Jan 16, 2024
Framework hints
2
OpenAgentSkill views
0
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

Manual review

68
  • GitHub adoption116 GitHub starsINFO
  • Recent maintenance2y since pushFIX
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency riskno major dependency risk hints in public metadataPASS
  • Install availabilitynpx skills add Shanghai-Digital-Brain-Laboratory/DB-FootballPASS