Borrowing it
Nothing to install: this file belongs to rjexile/sports-card-agent. 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/rjexile/sports-card-agent/main/CLAUDE.mdgit clone --depth 1 https://github.com/rjexile/sports-card-agentWrote 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/rjexile/sports-card-agent/claude-md)<a href="https://agentmods.dev/instructions/rjexile/sports-card-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/rjexile/sports-card-agent/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/rjexile/sports-card-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/rjexile/sports-card-agent/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 | $0.00509 | $0.00509 |
| Opus 5 | $0.00254 | $0.00254 |
| Sonnet 5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
sports-card-agent 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.
What it actually says
Sports Card Agent
What This Is
An MCP server that provides sports trading card data to other AI agents. 9 tools covering pricing, market analysis, grading ROI, investment advice, player stats (NBA/NFL/MLB), vintage card analysis, and trending players.
Architecture
- Python 3.12 MCP server using FastMCP
- Runs over stdio protocol
- eBay Browse API for pricing data (mock fallback when no key)
- Ball Don't Lie API for player stats across NBA/NFL/MLB (mock fallback)
- All tools return plain text summaries
Project Structure
src/server.py— Main MCP server with all 9 tool definitionssrc/ebay_client.py— eBay API client with OAuth2 + mock datasrc/analysis.py— Price trend analysis and arbitrage detectionsrc/player_stats.py— NBA stats (Ball Don't Lie API)src/nfl_stats.py— NFL stats (Ball Don't Lie API)src/mlb_stats.py— MLB stats (Ball Don't Lie API)src/grading.py— Grading ROI calculator (PSA/BGS/SGC)src/advisor.py— Investment advisor (buy/sell/hold)src/trending.py— Trending NBA players watchlistsrc/vintage.py— Vintage card analysis (40+ iconic sets)run_server.py— Launcher scripttest_all.py— Full test suite (29 tests)
Key Accounts & Config
- GitHub: rjexile/sports-card-agent
- PyPI: sports-card-agent v1.0.0
- eBay Developer: Registered, waiting for approval (keys go in .env)
- Ball Don't Lie: Needs free signup at app.balldontlie.io (key goes in .env)
Running
# From venv
python run_server.py
# After pip install
sports-card-agent
Testing
python test_all.py # 29/29 tests should pass
Revenue Strategy
- Listed on MCP registries for other agents to discover
- Phase 1: Free usage to build adoption
- Phase 2: Monetize via MCPize or similar (85% revenue share)
- Phase 2: Deploy to VPS for 24/7 availability
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 · 52 lines · 509 tokens per session scan A e105d0c16487
sports-card-agent CLAUDE.md is an instructions file published in the GitHub repository rjexile/sports-card-agent (2 stars, last pushed 5mo ago), licensed MIT. It adds 509 tokens to every session, about $0.0025 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 2026-08-31.
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