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 cricket-datagit 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/cricket-data)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/cricket-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/cricket-data/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/cricket-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/cricket-data.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 | $0.00220 | $0.01796 |
| Opus 5 | $0.00110 | $0.00898 |
| Sonnet 5 | $0.00044 | $0.00359 |
| Haiku 4.5 | $0.00022 | $0.00180 |
Grade A, and why
cricket-data 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 13d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cricket Data (ESPN + Cricsheet)
Before writing queries, consult references/api-reference.md for endpoints, ID conventions, and data shapes. See references/competitions.md for the Cricsheet competition codes.
Quick Start
Prefer the CLI — it avoids Python import path issues. There are two backends: ESPN (live-ish) and Cricsheet (historical).
# ESPN backend (live-ish) — discover series first, then use its numeric ID
sports-skills cricket get_series
sports-skills cricket get_scoreboard --series_id=8048
sports-skills cricket get_standings --series_id=8048
sports-skills cricket get_game_summary --series_id=8048 --event_id=1535465
sports-skills cricket get_news --series_id=8048
# Cricsheet backend (historical, completed matches) — uses letter codes
sports-skills cricket get_competitions
sports-skills cricket get_matches --competition=ipl --season=2026
sports-skills cricket get_match_deliveries --competition=ipl --match_id=1473508
sports-skills cricket get_player_stats --competition=ipl --player="V Kohli"
sports-skills cricket find_player --name=kohli
CRITICAL: Before Any Query
CRITICAL: Before calling any data endpoint, verify:
- ESPN series IDs are per-series, not per-league. Always discover them with
get_seriesfirst. IDs change every season for recurring tournaments (e.g. each IPL season has a different ID). Never hardcode them — the8048in the examples is illustrative, not permanent. - Two ID spaces.
get_seriesreturns ESPN IDs (live, numeric, e.g.8048).get_competitionsreturns Cricsheet codes (historical, letter codes, e.g.ipl). They are unrelated except at the match level: a Cricsheetmatch_idequals the ESPNcricinfo match ID, so it bridges the two backends. - Cricsheet covers completed matches only (~1-day lag after a match finishes). For anything live or upcoming, use the ESPN commands (
get_scoreboard,get_series). get_player_statsrequires the exact Cricsheet name spelling (e.g."V Kohli", not"Virat Kohli"). Resolve the spelling withfind_playerfirst.- No ICC rankings — there is no free source (v1 limitation). Series standings come from
get_standings, which is empty for most bilateral tours (only league/group tournaments publish a points table). - First Cricsheet call per competition per day downloads a zip. Large competitions (Tests, ODIs, IPL) are tens of MB. Zips are cached 24h at
~/.cache/sports-skills/cricsheet/; later calls in the same day are fast.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 112 lines · 220 tokens per session scan A 08781ac03f46
cricket-data is a skill published in the GitHub repository machina-sports/sports-skills (218 stars, last pushed 5d ago), licensed MIT. It adds 220 tokens to every session and 1,796 once invoked, about $0.0011 per session on Opus 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.
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