Borrowing it
Nothing to install: this file belongs to mbrionesalvarez/caddie-mcp. 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/mbrionesalvarez/caddie-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/mbrionesalvarez/caddie-mcpWrote 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/mbrionesalvarez/caddie-mcp/claude-md)<a href="https://agentmods.dev/instructions/mbrionesalvarez/caddie-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mbrionesalvarez/caddie-mcp/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/mbrionesalvarez/caddie-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mbrionesalvarez/caddie-mcp/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 | $0.02966 | $0.02966 |
| Opus 5 | $0.01483 | $0.01483 |
| Sonnet 5 | $0.00593 | $0.00593 |
| Haiku 4.5 | $0.00297 | $0.00297 |
Grade A, and why
caddie-mcp 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 10d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CaddieMCP
LLM-optimized MCP connector for Garmin golf + health data. Local stdio server: Garmin Connect -> sync -> DuckDB cache (~/.caddiemcp/golf.duckdb) -> MCP tools.
Layout
src/caddie_mcp/normalize.py— Garmin response -> clean records. Field mappings ported verbatim from OneClub's production adapter (~/Documents/OneClub/backend/app/adapters/garmin.py). Do not "simplify" the alternate field names — Garmin returns different shapes per generation.src/caddie_mcp/db.py— DuckDB schema + upserts. Writers serialize via lock.src/caddie_mcp/sync.py— incremental, throttled sync.src/caddie_mcp/server.py— MCP tools/resources (mcp SDK >= 2.0:from mcp.server import MCPServer, snake_case client attrs).src/caddie_mcp/cli.py—caddie-mcp login|sync|status|serve.
Conventions
- All conversions at ingest, never at query time: yards, decimal degrees, lowercase enums, ISO timestamps.
- Unknown = NULL, never 0.
dist_to_pin_end_ydsis NULL on hole-ending shots (deliberate fix of an upstream OneClub bug — keep it). - Tool responses: strip nulls, cap size (~90KB), errors carry
how_to_fix.
Commands
- Test:
.venv/bin/python -m pytest tests/ -q - Reference repos:
~/Documents/python-garminconnect(API library),~/Documents/OneClub(analytics engine to port in Phase 2 — see strategy artifact for the port list and known upstream bugs to fix).
Analytics (src/caddie_mcp/analytics/)
Pure functions, no I/O. Ported from OneClub with deliberate changes:
baselines.py/strokes_gained.py— Broadie SG; 540 baseline entries; green baselines keyed in FEET (yards x3 at lookup). Invariant tested: with complete data, hole SG sums to E(first lie/dist) - strokes.- SG inference for GPS-less shots is applied at compute time (never stored)
and surfaced as
estimated_share. handicap.py— WHS best-N-of-20 WITHOUT the pre-2020 0.96 multiplier (upstream still has it); 9-hole rounds excluded.stats.py— fixed upstream bugs: bogey vs double-bogey avoidance were the same expression; putt "made" now = final shot of hole, not dist<0.5 vs a hardcoded 0. Buckets under 3 samples are omitted (MIN_SAMPLES).
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.
- 10d ago First seen · 192 lines · 2,966 tokens per session scan A 92f347174fd1
caddie-mcp CLAUDE.md is an instructions file published in the GitHub repository mbrionesalvarez/caddie-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 2,966 tokens to every session, about $0.0148 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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