mplsoccer
Football pitch plotting and soccer analytics visuals for match reports and dashboards.
Supply asset profile
Football and World Cup analytics
Football data, World Cup dashboards, xG, match prediction, scouting, and sports analytics.
Scenario
Sports analytics
I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.
Agent fit
OpenAI Agents + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add andrewRowlinson/mplsoccer
Maintenance
fresh
24d since push
Risk
Safe to try
License is unclear
GitHub quality
1.1K
100/100 quality · 81/100 trust
Coverage tags
Review notes
License is unclear · Documentation summary is thin
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v4
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
1.1K GitHub stars
Repo activity
1.1K stars, 0 forks
Maintenance
24d since push
License
Unknown
Install
npx skills add andrewRowlinson/mplsoccer
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- License is unclear
- Documentation summary is thin
- License clarity: Unknown
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- 24d since push
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.
Suited tasks
- Sports analytics workflows
- OpenAI Agents teams
- teams that value GitHub adoption signals
- Load football datasets
Suited agents
Install decision
- Command
- npx skills add andrewRowlinson/mplsoccer
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 81/100
- Audit
- 90/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add andrewRowlinson/mplsoccerDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- License is unclear
- Documentation summary is thin
Agent safety v2
78/100 · Review before install
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- 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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add andrewRowlinson/mplsoccerAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20mplsoccer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20mplsoccer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/mplsoccer/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 mplsoccer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20mplsoccer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mplsoccer/install
Install command: npx skills add andrewRowlinson/mplsoccer
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.
Install handoff
/api/skills/mplsoccer/install
LLM text format
/api/skills/mplsoccer/install?format=text
Find alternatives
/api/skills/search?q=mplsoccer&limit=3
Agent prompt
Use mplsoccer for this task. Review https://www.openagentskill.com/api/skills/mplsoccer/install, then install with: npx skills add andrewRowlinson/mplsoccerRegistry 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.
Manifest
/api/registry/manifest/mplsoccer
LLM text
/api/registry/manifest/mplsoccer?format=text
Install alias
/api/registry/install/mplsoccer
Recommend
/api/registry/recommend?task=Use%20mplsoccer%20in%20an%20agent%20workflow&limit=3
Agent fit
Sports analytics
Use-case tags
Platforms
Python, Codex, OpenAI Agents
Audit report
Safe to try · 90/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
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.
Role in stack
Primary pick
Primary fit
Sports analytics
Trust label
Production-ready
Install path
Command ready
Use when
- Sports analytics workflows
- OpenAI Agents teams
- teams that value GitHub adoption signals
Evidence
- 1,100 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Sports analytics task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
PASS1.1K GitHub stars
Stars/forks activity
INFO1.1K stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS24d since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Meaningful GitHub adoption signal
- Install command has no obvious high-risk pattern
Review before install
- License is unclear
- Documentation summary is thin
- License clarity: Unknown
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
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.
Analyze datasets
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Find, compare, and synthesize
Research report agent
A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Overview
Football pitch plotting and soccer analytics visuals for match reports and dashboards.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Unknown
- Last Updated
- 6/1/2026
- Published
- 6/1/2026
Frameworks & Tools
Decision snapshot
Primary pick
1,100 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 82/100
- Maintenance
- 100/100
- Install
- 92/100
Agent outcome signals
Real use feedback
Reported by agents after resolve, review, and install.
- Outcomes
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
No agent outcome data yet
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for mplsoccer, ready for a manual X post.
The best agent skills feel small at first, then remove a task your agent used to improvise. mplsoccer: Football pitch plotting and soccer analytics visuals for match reports and dashboards. 1.1K stars https://www.openagentskill.com/skills/mplsoccer?ref=x #AIAgents
Optional reply with install command
Listing + install path for mplsoccer: https://www.openagentskill.com/skills/mplsoccer?ref=x Install: npx skills add andrewRowlinson/mplsoccer
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- andrewRowlinson
- 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 skillOwner claim
Claim this skill listing
This registry indexed listing is attributed to andrewRowlinson 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.
[](https://www.openagentskill.com/skills/mplsoccer)Author
andrewRowlinson
@andrewrowlinson
Platform Fit
Health Signals
- GitHub stars
- 1.1K
- Quality score
- 78/100
- Last GitHub push
- Jun 1, 2026
- 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
Strong shortlist
- GitHub adoption1.1K GitHub starsPASS
- Stars/forks activity1.1K stars, 0 forks; issue activity unavailable in current metadataINFO
- Recent maintenance24d since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskno major dependency risk hints in public metadataPASS