Borrowing it
Nothing to install: this file belongs to sarviinageelen/polymarket-sports-analysis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sarviinageelen/polymarket-sports-analysis/main/CLAUDE.mdgit clone --depth 1 https://github.com/sarviinageelen/polymarket-sports-analysisWrote 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/instructions/sarviinageelen/polymarket-sports-analysis/claude-md)<a href="https://agentmods.dev/instructions/sarviinageelen/polymarket-sports-analysis/claude-md"><img src="https://agentmods.dev/badge/instructions/sarviinageelen/polymarket-sports-analysis/claude-md/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/instructions/sarviinageelen/polymarket-sports-analysis/claude-md"><img src="https://agentmods.dev/badge/instructions/sarviinageelen/polymarket-sports-analysis/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01782 | $0.01782 |
| Opus 5 | $0.00891 | $0.00891 |
| Sonnet 5 | $0.00356 | $0.00356 |
| Haiku 4.5 | $0.00178 | $0.00178 |
Grade A, and why
polymarket-sports-analysis CLAUDE.md 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 12d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Polymarket Sports Analytics - tracks sports prediction market performance on Polymarket. Fetches on-chain trading data, calculates P&L metrics, and generates Excel leaderboards for NFL, NBA, CFB, and CBB markets.
Commands
# Install dependencies (uses venv with Python 3.12)
pip install -r requirements.txt
# Run tests
pytest tests/
pytest tests/test_markets.py -v # Single test file
# Full pipeline (must run in order)
python update_markets.py && python update_trades.py && python update_picks.py
# Optional: flat-table analysis (after trades are populated)
python update_analyze.py
# Migrate existing CSV data to Parquet (one-time)
python update_trades.py --migrate
# update_trades.py options
python update_trades.py --resolved-only # Only resolved markets
python update_trades.py --unresolved-only # Only active markets
python update_trades.py --force-reprocess # Ignore cache
python update_trades.py --verbose # Detailed output
python update_trades.py --max-users N # Limit users (testing)
python update_trades.py --sport nfl # Filter by sport
python update_trades.py --pick-basis amount # Classify picks by amount held
# update_picks.py / update_analyze.py CLI mode
python update_picks.py --sport NFL --season-id 2025 --weeks 5
python update_picks.py --sport NBA --season-id 2025-26 --last5
python update_analyze.py --sport CFB --season-id 2025 --weeks 3-5
Architecture
Four-stage Parquet pipeline:
Gamma API (REST) GraphQL Subgraphs (Goldsky)
│ │
▼ ▼
update_markets.py ──► update_trades.py ──► update_picks.py
│ │ ──► update_analyze.py
▼ ▼ │
db_markets.parquet db_trades_*.parquet leaderboard_*.xlsx / analysis_*.xlsx
Stage 1 - update_markets.py: Fetches moneyline markets from Polymarket Gamma API by series ID (NFL=10187, CFB=10210, NBA=10345, CBB=10470). Filters to moneyline only, determines winners (price > 0.95). Deduplicates on condition_id.
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.
- 12d ago First seen · 151 lines · 1,782 tokens per session scan A 7b195de14d52
polymarket-sports-analysis CLAUDE.md is an instructions file published in the GitHub repository sarviinageelen/polymarket-sports-analysis (12 stars, last pushed 6mo ago), licensed MIT. It adds 1,782 tokens to every session, about $0.0089 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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