360-data-athlete: Instructions file for Claude Code

CLAUDE.md

360-data-athlete CLAUDE.md is an instructions file for Claude Code from airbone42/360-data-athlete. It costs 29,538 tokens per session, scanned A, original, MIT.

A project instruction file for a multi-agent sports coaching system used inside Claude Code, with decisions based on training and recovery measurements.

In plain words
What is it for?
Developing or using the coaching framework, its configuration, data tools, and integrations such as Telegram.
Why use it?
It tells the agent how the project is organized, where athlete-specific settings belong, and what must happen when a session starts.

Instructions file for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT variable. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is airbone42/360-data-athlete's own configuration. It tells Claude Code how to work on 360-data-athlete itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything 360-data-athlete configures →

Runs only inside a plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else, and the catalogue could not identify which plugin ships it.

Reuse

Borrowing it

Nothing to install: this file belongs to airbone42/360-data-athlete. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/airbone42/360-data-athlete/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/airbone42/360-data-athlete

Made for: Claude Code.

Wrote 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.

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/airbone42/360-data-athlete/claude-md.svg)](https://agentmods.dev/instructions/airbone42/360-data-athlete/claude-md)
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<a href="https://agentmods.dev/instructions/airbone42/360-data-athlete/claude-md"><img src="https://agentmods.dev/badge/instructions/airbone42/360-data-athlete/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 29,538 This file is loaded in full into every session.
When invoked 29,538 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.29538 $0.29538
Opus 5 $0.14769 $0.14769
Sonnet 5 $0.05908 $0.05908
Haiku 4.5 $0.02954 $0.02954

Measured today against content hash dc3613a632a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

360-data-athlete CLAUDE.md scanned grade A with 1 finding 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 today.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| **Slow eccentric at long muscle length** | RDL, Nordic curl, downhill running, heavy split squat, slow-tempo squat | Long lengthening excursion at or near peak stretch | **≥ 72 h** |
CLAUDE.md · 2,336 lines

How it starts

The opening of the file, as written. The whole thing — 2,336 lines — stays where its author put it; the contents beside it link to each section on GitHub.

360° Data Athlete — multi-agent coach (framework)

Experimental multi-agent system running entirely inside Claude Code. Not a product. Not training advice. See README.md and SECURITY.md for the threat model and intended use.

Role: head coach

You are an experienced, data-driven sports coach. You work with the athlete directly through Claude Code. Decisions are grounded in HRV, CTL, ATL, TSB, zone distribution, and training history.

Default response language: English. Override per-athlete in config/athlete_preferences.md (Coach response language: <code>).

Interface: Claude Code is the direct interface — terminal or Telegram plugin. No standalone scheduler.


For plugin consumers (pointer)

config/ files referenced in this document resolve from the consumer's project root first, with fallback to the plugin's config.example/ (app/utils/paths.py). Generic improvements go as PRs to the framework repo; athlete-specific edits belong in the consumer's wrapper — never in the plugin install directory. Full install/override/contribution guide: docs/architecture.md.


Session start (mandatory)

At the start of every new conversation, run without prompting:

python3 "${CLAUDE_PLUGIN_ROOT:-.}"/scripts/fetch_context.py --date $(date +%Y-%m-%d)

Then respond to the athlete. Without this context, no informed statement about training, recovery, or planning is possible.

Mandatory read fields after fetch_context.py

Always process at least these fields explicitly before answering — even for pure symptom/feeling messages:

Field Why
todayWorkouts What is already scheduled today? Every recommendation must reference this concrete list.
hrv, hrvBaseline, hrvDeviation, intensityReadiness Current tolerance (Methodik: framework/research/hrv-rhr-baseline-methodology.md)
rhr, rhrBaseline, rhrDeviation, rhrContext, combinedOverloadSignal Long-window RHR drift + the convergence overload trigger. combinedOverloadSignal.verdict ∈ {clear, watch, deload, insufficient_data}, with markers naming which of HRV / RHR / TSB fired. A day counts when two of the three are available and firing; deload at 3+ consecutive such days → intensityReadiness flips red automatically. insufficient_data means fewer than two markers were readable — that is a data gap, not an all-clear (Methodik: framework/research/hrv-rhr-baseline-methodology.md)
runDayStreak Impact-load pattern: consecutive running days, run days per trailing 5d/7d, and whether a long run or quality session sits inside. Running is the only impact modality — lastRestDay and daysSinceIntense cannot see this (see rule below)
planningConstraints Active blocks (legs, plyo, recovery week, pause)
athleteFeedback, eventList Latest athlete notes — context violation if ignored
hrvReviewPending Daily review obligation
weeklyHardReizeBalance Rolling-7d audit of the 2-Hard-Reize-Strategy — required for any multi-day / next-day / weekly outlook (see rule below) (Strategie: framework/research/cross-training-vo2max-transfer.md)

Read the full file on GitHub · 2,336 lines

Changes

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.

  1. today Changed · +17 lines · +246 tokens per session dc3613a632a8
  2. 2d ago Changed · +51 lines · +751 tokens per session 487d24e57aaf
  3. 3d ago Changed · +195 lines · +2,636 tokens per session 7eb087d4997f
  4. 7d ago First seen · 2,073 lines · 25,905 tokens per session scan A 076a96445c64

Subscribe to this mod's changes

360-data-athlete CLAUDE.md is an instructions file published in the GitHub repository airbone42/360-data-athlete (22 stars, last pushed yesterday), licensed MIT. It adds 29,538 tokens to every session, about $0.1477 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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