Star200+

Fpl

REVIEW · 58
Community indexed

An asynchronous Python wrapper for the Fantasy Premier League API.

Downloads0
Stars328
Version1.0.0
Quality51/100 · Needs review
Trust58/100 · Do not auto-install
Audit61/100 · 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 amosbastian/fpl

Maintenance

stale

2y since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

328

51/100 Quality · 66/100 Trust

Coverage tags

World CupSports analyticssports-analyticssportsfootball

Review notes

Permission surface may require sandboxing · 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
51

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

Trust

Do not auto-install
58

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Needs review
61

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

OpenAgentSkill Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

PythonSports DataCodexClaude CodeCursor

Stars

328 GitHub stars

Repo activity

328 stars, 107 forks

Maintenance

2y since push

License

MIT

Install

npx skills add amosbastian/fpl

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Recent maintenance: 2y since push

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
  • builders willing to evaluate younger projects
  • Load football datasets

Suited agents

PythonSports DataCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add amosbastian/fpl
Policy
review
Human review
yes

Trust and risk

Trust
58/100
Audit
61/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add amosbastian/fpl
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

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Agent safety v2

33/100 · 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

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

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.

  • High-risk permission hints: Shell or command execution
  • Permission surface may require sandboxing

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 amosbastian/fpl

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%20Fpl%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Fpl%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/amosbastian-fpl/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 Fpl in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Fpl%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/amosbastian-fpl/install
Install command: npx skills add amosbastian/fpl
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/amosbastian-fpl/install

LLM text format

/api/skills/amosbastian-fpl/install?format=text

Find alternatives

/api/skills/search?q=Fpl&limit=3

Agent prompt

Use Fpl for this task. Review https://www.openagentskill.com/api/skills/amosbastian-fpl/install, then install with: npx skills add amosbastian/fpl

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/amosbastian-fpl

LLM text

/api/registry/manifest/amosbastian-fpl?format=text

Install alias

/api/registry/install/amosbastian-fpl

Recommend

/api/registry/recommend?task=Use%20Fpl%20in%20an%20agent%20workflow&limit=3

Agent fit

43/100

Sports analytics

Use-case tags

Sports analyticsCoding agentsRAG and knowledge

Platforms

Python, Sports Data, Claude Code

Audit report

Needs review · 61/100

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

View audit reportView eval report

Agent decision cockpit

Needs validation for Sports analytics

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

43
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
  • 51/100 quality profile
  • 6 OpenAgentSkill engagement events

review first

  • Repository looks stale

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

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

58
OpenAgentSkill Trust Score

GitHub adoption

INFO

328 GitHub stars

Stars/forks activity

INFO

328 stars, 107 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

PASS

MIT

Good signals

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

Review before install

  • Repository looks stale
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Recent maintenance: 2y since push
  • Permission surface: shell or command execution, filesystem or document access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Needs review candidate for agent workflows

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

51
GitHub stars
328
Freshness
2y ago
Install ready
Yes
License
MIT
Review before install: Repository looks stale

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

An asynchronous Python wrapper for the Fantasy Premier League API.

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
Jul 19, 2026
Published
Jun 12, 2026

Frameworks & tools

PythonSports Data

Decision snapshot

Needs validation

43
Ready
Review
Stage

install command or GitHub repo available

Audit

Install review

Install and adoption review

61
Needs review
Security
80/100
Maintenance
20/100
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 Fpl, ready for a manual X post.

Curator note
For the next repo task, this is a skill worth shortlisting before another blank prompt.

Fpl: An asynchronous Python wrapper for the Fantasy Premier League API.

328 stars

https://www.openagentskill.com/skills/amosbastian-fpl?ref=x
Open X draft
Optional reply with install command
Listing + install path for Fpl:
https://www.openagentskill.com/skills/amosbastian-fpl?ref=x

Install: npx skills add amosbastian/fpl
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.

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

Author

A

amosbastian

@amosbastian

Tags

sportsfootballanalyticsclifantasy-footballfantasy-premier-leaguefplhacktoberfestpythongithub

Platform fit

Claude Code

Health signals

GitHub stars
328
Quality score
36/100
Last GitHub push
Jul 26, 2024
Framework hints
2
OpenAgentSkill views
4
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

Do not auto-install

58
  • GitHub adoption328 GitHub starsINFO
  • Stars/forks activity328 stars, 107 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance2y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskcommand execution surface, network or browser surfaceINFO

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