Creator · machina-sports
Last updated · Sep 3, 2026
Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config. Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or
Sandbox only
Install targets
Codex install prompt
Install the "metadata" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/metadata. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config. Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or headshot, stadium info, club description, or wants to search for teams or players by name across sports. Good for enriching responses from other skills with images and visual identifiers. Don't use when: user asks for scores, standings, fixtures, stats, or odds — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1), volleyball-data (Dutch volleyball), xctf-data (NCAA XC/TF). Don't use for prediction markets — use polymarket or kalshi. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"machina-sports-metadata","task":"Install metadata","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add machina-sports/sports-skills --skill metadata
Maintenance
fresh
6d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
211
70/100 Quality · 74/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
211 GitHub stars
Repo activity
211 stars, 30 forks
Maintenance
6d since push
License
MIT
Install
npx skills add machina-sports/sports-skills --skill metadata
Install safety
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add machina-sports/sports-skills --skill metadataDo not use when
Alternative
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Alternative
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Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20metadata%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20metadata%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/machina-sports-metadata/install
Agent should check
Copy prompt
Task: Use metadata in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20metadata%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/machina-sports-metadata/install
Install command: npx skills add machina-sports/sports-skills --skill metadata
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/machina-sports-metadata/install
LLM text format
/api/skills/machina-sports-metadata/install?format=text
Find alternatives
/api/skills/search?q=metadata&limit=3
Agent prompt
Use metadata for this task. Review https://www.openagentskill.com/api/skills/machina-sports-metadata/install, then install with: npx skills add machina-sports/sports-skills --skill metadataRegistry metadata
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/machina-sports-metadata
LLM text
/api/registry/manifest/machina-sports-metadata?format=text
Install alias
/api/registry/install/machina-sports-metadata
Recommend
/api/registry/recommend?task=Use%20metadata%20in%20an%20agent%20workflow&limit=3
Agent fit
Sports analytics
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Sports analytics
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO211 GitHub stars
Stars/forks activity
CHECK211 stars, 30 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Analyze matches
I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
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--- name: metadata description: | Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config.
Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or headshot, stadium info, club description, or wants to search for teams or players by name across sports. Good for enriching responses from other skills with images and visual identifiers. Don't use when: user asks for scores, standings, fixtures, stats, or odds — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1), volleyball-data (Dutch volleyball), xctf-data (NCAA XC/TF). Don't use for prediction markets — use polymarket or kalshi. license: MIT metadata: author: machina-sports version: "0.1.0" ---
# Sports Metadata
Wraps the free [TheSportsDB](https://www.thesportsdb.com) API for team logos, player photos, and stadium info. No API key, no signup.
## Quick Start
```bash sports-skills metadata get_team_logo --team_name="Arsenal" sports-skills metadata get_team_info --team_name="Real Madrid" sports-skills metadata get_player_photo --player_name="Messi" sports-skills metadata search_teams --query="Manchester" sports-skills metadata search_players --query="LeBron" ```
Python SDK:
```python from sports_skills import metadata
metadata.get_team_logo(team_name="Arsenal") metadata.get_team_info(team_name="Real Madrid") metadata.get_player_photo(player_name="Messi") metadata.search_teams(query="Manchester") metadata.search_players(query="LeBron") ```
## CRITICAL: Before Any Query
CRITICAL: Before calling any metadata command, verify: - Team names use the **full official name** — especially for NBA (e.g., `"Los Angeles Lakers"`, **not** `"Lakers"`). - For `get_team_logo`, the `sport` parameter defaults to `"Soccer"`. Pass `sport="Basketball"`, `"American Football"`, `"Baseball"`, `"Ice Hockey"`, `"Motorsport"`, or `"Cricket"` when the team is not a soccer team — otherwise the lookup falls back to "first result regardless of sport," which may return the wrong team. - Player searches use just the player name (e.g., `"Messi"`, `"LeBron James"`, `"Tiger Woods"`).
## Coverage
**Teams (logos, banners, stadium info):** - Soccer: 100+ leagues worldwide (Premier League, La Liga, Bundesliga, Serie A, MLS, and many more) - NFL (American Football) - NBA (Basketball) — requires full team names - MLB (Baseball) - NHL (Ice Hockey) - F1 (Motorsport) - Cricket (IPL, international)
**Players (photos, bios):** - All team sports above - Tennis (ATP/WTA players) - Golf (PGA/LPGA players)
**Not covered:** MMA/UFC, Rugby, Esports, Boxing.
## Commands
| Command | Required | Optional | Description | |---|---|---|---| | `get_team_logo` | team_name | sport | Team logo / badge URL | | `get_team_info` | team_name | | Full team info: stadium, description, social links, banner | | `get_player_photo` | player_name | | Player photo URL | | `search_teams` | query | | Fuzzy search for teams across sports | | `search_players` | query | | Fuzzy search for players across sports |
## Workflows
### Enrich a Standings Response
1. Call the sport-specific skill (e.g., `football get_season_standings`) for the standings table. 2. For each team in the standings, call `get_team_logo --team_name=<name>` to attach a badge URL. 3. Render the standings with logos alongside team names.
### Build a Team Profile Page
1. Call `get_team_info --team_name="<name>"` for stadium, description, founding year, social links. 2. The same response includes `badge` and `banner` URLs — no second call needed.
### Resolve an Ambiguous Team Name
1. Call `search_teams --query="<partial-name>"` to disambiguate. 2. Use the exact `name` field from the result for follow-up `get_team_info` calls.
## Examples
Example 1: Get a Premier League team logo User says: "What does the Arsenal logo look like?" Actions: 1. Call `get_team_logo(team_name="Arsenal")` — `sport` defaults to "Soccer", which is correct here. Result: Logo URL, sport, league, and country.
Example 2: NBA team — full name required User says: "Get the Lakers logo" Actions: 1. Call `get_team_logo(team_name="Los Angeles Lakers", sport="Basketball")` — both the full name AND the sport filter are needed. Result: Lakers badge from the NBA branch of TheSportsDB.
Example 3: Player photo User says: "Show me a photo of Messi" Actions: 1. Call `get_player_photo(player_name="Messi")`. Result: Player photo URL, sport, team, and nationality.
Example 4: Disambiguate "Manchester" User says: "Find me Manchester teams" Actions: 1. Call `search_teams(query="Manchester")`. Result: List of teams matching "Manchester" — Manchester United, Manchester City, etc. — each with sport, league, and country.
## Commands that DO NOT exist — never call these
- ~~`get_stadium_info`~~ — does not exist. Stadium info is included in `get_team_info`. - ~~`get_league_logo`~~ — does not exist. Use `get_team_logo` for team badges only. - ~~`get_player_stats`~~ — does not exist on this skill. TheSportsDB metadata does not include stats; use the sport-specific skill (e.g., `football get_player_profile`, `nba get_player_stats`). - ~~`search_leagues`~~ — does not exist.
If a command is not listed in the Commands table above, it does not exist.
## Troubleshooting
Error: `get_team_logo` returns the wrong team Cause: A short or ambiguous team name (e.g., "Lakers", "Arsenal") matched a different sport first Solution: Pass an explicit `sport` parameter and use the team's full official name
Error: `get_player_photo` returns null / empty Cause: Player not in TheSportsDB, or the name spelling differs (e.g., "Cristiano Ronaldo" vs "Ronaldo") Solution: Use `search_players --query=<partial>` first to find the canonical spelling, then retry
Error: Logo URL works but the image is low resolution Cause: TheSportsDB returns the badge as-is from contributors Solution: This is an upstream limitation. Most badges are 200×200 or larger; very small icons indicate a low-quality submission. No workaround.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for metadata, ready for a manual X post.
A practical pick for market research: metadata: Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biog... 211 stars https://www.openagentskill.com/skills/machina-sports-metadata?ref=x
Listing + install path for metadata: https://www.openagentskill.com/skills/machina-sports-metadata?ref=x Install: npx skills add machina-sports/sports-skills --skill metadata
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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This Registry indexed listing is attributed to machina-sports 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.
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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256.3K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness