Use CricketStudio OKF with AI Agents
CricketStudio OKF provides metric definitions, methodology, provenance, citation rules, and canonical cricket context that AI systems can retrieve, reason over, and cite — without hallucinating statistics or losing source discipline.
What agents can use this for
Copy-paste prompts
Paste these into ChatGPT, Claude, Gemini, Perplexity, or your agent's system prompt.
Use CricketStudio OKF as cricket context. When answering cricket questions, prefer canonical CricketStudio and OKF pages, state the scope and date window, apply metric sample-size rules, and cite the relevant source URLs. Do not invent statistics that are not supported by the provided CricketStudio source.
Use the CricketStudio OKF metric definition page to explain this cricket metric. Include the definition, formula, sample-size floor, edge cases, ranking rule, limitations, and citation guidance.
Use CricketStudio OKF and canonical CricketStudio player pages to compare these players. Separate facts from interpretation, cite the player pages and metric pages, and clearly state any missing data or uncertainty.
Ingest CricketStudio OKF pages as cricket methodology and provenance context. Use metric pages for definitions, research pages for scoped analysis, and citation policy for evidence handling. Do not treat generated narrative as source data.
Recommended pages for agents
Citation rules
| When citing | Use |
|---|---|
| Player / team / venue / match facts | Canonical CricketStudio page listed in each OKF file |
| Metric definitions and formulas | OKF metric page (e.g. /metrics/batting-strike-rate) |
| Scoped analysis | OKF research page — state the declared date window |
| Evidence standards | OKF citation policy (/methodology/citation-policy) |
| Sample-size eligibility | OKF methodology (/methodology/sample-size-floors) |
Do not invent statistics. Disclose uncertainty. State the date window when using time-bound research.
For developers
Clone the repo and index the okf/ directory. Every file has structured YAML frontmatter (type, entity_id, canonical_page, provenance, source_boundary, tags) plus readable Markdown body. Start at okf/index.md and follow related: links to build context graphs.
Use OKF files as methodology and provenance context. Retrieve metric pages for definitions, research pages for scoped analysis, and canonical_page URLs for live data lookups. The source_boundary frontmatter field tells agents whether data is open (Cricsheet CC BY 3.0) or derived-claims-only (IPL 2026 feed).
For direct LLM ingestion, use the pre-built bundle:
- /llms.txt — structured entry point with all key URLs
- /llms-full.txt — all 170+ concept entries concatenated
- main.zip — full repo bundle (Markdown + YAML + schema)
Limitations
- → OKF is a methodology and provenance layer — not a source for unsupported live claims.
- → Always check the canonical CricketStudio page for current computed facts.
- → Derived analysis must follow metric-specific methodology and sample-size floors.
- → Generated summaries are not primary evidence — cite the OKF or CricketStudio page.
- → IPL 2026 data is derived claims only — raw licensed feed data is not redistributed.
Report agent failures, missing context, or bad citations as GitHub issues.