Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add machina-sports/sports-skills --skill esportsgit clone --depth 1 https://github.com/machina-sports/sports-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/machina-sports/sports-skills/esports)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/esports"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/esports/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/esports"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/esports.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00142 | $0.01310 |
| Opus 5.5 | $0.00057 | $0.00524 |
| Sonnet 5.5 | $0.00028 | $0.00262 |
| Haiku 4.5 | $0.00014 | $0.00131 |
Grade A, and why
esports scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Esports Data
Keyless, public sources. No API key, no signup.
- Dota 2 → OpenDota (
api.opendota.com). Real JSON. Free tier ~60 req/min. - League of Legends esports → Leaguepedia Cargo (
lol.fandom.com). Structured rows. CC-BY-SA — attribute Leaguepedia when you reuse the data.
CRITICAL
- Dota 2 only for match/team/league data (OpenDota). LoL uses Leaguepedia Cargo.
- Leaguepedia is aggressively rate-limited. The throttle comes back as an
in-body error (
Leaguepedia API error: ...) on an HTTP 200 — not a 4xx. Results are cached ~30 min; don't hammer it. Queries withorder_byhave been answered with that throttle body every time, so avoidorder_byinlol_cargo_queryand sort the rows yourself. - OpenDota has no date filter.
get_pro_matchesreturns the latest pro matches (100 per call at most). For older ones pass the response'snext_less_than_match_idasless_than_match_id. - Match Dota teams on
team_id, not name. OpenDota has separate records whose names differ only in case (mouz161707 from 2013,MOUZ9338413 now). - No odds here. Bookmaker odds for esports are not available keyless. For
implied-probability signals, use
kalshi get_esports_odds --game=cs2orpolymarket get_esports_events. - Personal use. Third-party ToS apply (OpenDota MIT; Leaguepedia CC-BY-SA).
Quick Start
CLI:
sports-skills esports get_pro_matches --limit=10
sports-skills esports get_pro_teams --limit=10
sports-skills esports get_leagues --tier=premium
sports-skills esports get_lol_tournaments --region=Korea --limit=5
sports-skills esports lol_cargo_query --tables=Teams --fields=Name,Region --limit=5
Python:
from sports_skills import esports
esports.get_pro_matches(limit=10)
esports.get_lol_tournaments(region="Brazil")
Commands
| Command | Description |
|---|---|
get_pro_matches |
Latest Dota 2 pro matches, newest first; page back with less_than_match_id (OpenDota) |
get_leagues |
Dota 2 leagues/tournaments, newest first, filter by tier (OpenDota) |
get_pro_teams |
Top Dota 2 teams by rating (OpenDota) |
get_match |
Detailed Dota 2 match by id (OpenDota) |
get_lol_tournaments |
LoL esports tournaments starting since the 1st of the month two months back, newest first (Leaguepedia) |
lol_cargo_query |
Raw Leaguepedia Cargo query (any table/fields) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago Changed · +19 lines 14d34e46ceff
- 1mo ago Changed · +8 lines 12f7ca435281
- 2mo ago First seen · 81 lines · 142 tokens per session scan A 82006ccd665a
esports is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 142 tokens to every session and 1,310 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
esports compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| esportsmachina-sports/sports-skills | Skill | 264 | yesterday | MIT | A | 142 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |