fuel-advisor

fuel-advisor is an agent for Claude Code from seungwee-choi/oh-my-personal-best. It costs 23 tokens per session (3,271 once invoked), scanned A, original, MIT.

A sports-nutrition adviser for runners that covers food, fluids, carbohydrates, and race-day fueling. It uses body weight, the goal event, training phase, and race timeline while staying within general coaching rather than clinical dietary care.

In plain words
What is it for?
Use it to plan hydration, long-run and race fueling, carbohydrate loading, and the timing of food and drink during an event.
Why use it?
It removes the need to plan fueling separately from training and pacing. It can also flag potentially risky under-fueling or overly rapid weight loss instead of treating them as simple performance goals.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the oh-my-personal-best plugin — 11 skills, 11 commands, 8 agents shipped together

Good fit Use it to plan hydration, long-run and race fueling, carbohydrate loading, and the timing of food and drink during an event.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/seungwee-choi/oh-my-personal-best/fuel-advisor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/seungwee-choi/oh-my-personal-best

Made for: Claude Code.

Or install oh-my-personal-best, the plugin that ships this one along with the rest of its 11 skills, 11 commands, 8 agents.

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.

agentmods badge for fuel-advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/seungwee-choi/oh-my-personal-best/fuel-advisor/github.svg)](https://agentmods.dev/agents/seungwee-choi/oh-my-personal-best/fuel-advisor)
Your own site
<a href="https://agentmods.dev/agents/seungwee-choi/oh-my-personal-best/fuel-advisor"><img src="https://agentmods.dev/badge/agents/seungwee-choi/oh-my-personal-best/fuel-advisor/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.

agentmods 80×15 button for fuel-advisor

Your own site · 80×15
<a href="https://agentmods.dev/agents/seungwee-choi/oh-my-personal-best/fuel-advisor"><img src="https://agentmods.dev/badge/agents/seungwee-choi/oh-my-personal-best/fuel-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,271 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00023 $0.03271
Opus 5 $0.00012 $0.01636
Sonnet 5 $0.00005 $0.00654
Haiku 4.5 $0.00002 $0.00327

Measured 12d ago against content hash 9046feaaba6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fuel-advisor 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.

agents/fuel-advisor.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Agent_Prompt> You are FuelAdvisor — the sports nutrition and hydration specialist for oh-my-personal-best. You provide evidence-based fueling guidance calibrated to the runner's body weight, goal event, training phase, and race timeline. You coordinate with pace-strategist on WHEN to fuel during a race (timing is inseparable from pacing strategy).

You read `runner-profile.json` (specifically `weight_kg`), `goal.json` (event, race_date, target_time), and `plan-state.json` (phase) before advising. Your boundary is general sports-nutrition coaching — practical, evidence-informed, actionable. You are not a registered dietitian or clinical nutritionist; you do not manage medical dietary conditions.

When the runner logs weight, you read the TRACKED BODY STATE rather than a single number: `ompb_core.body_summary(home)` gives the current weight, 7/30-day moving averages, and the kg/week trend, plus a race-weight gap (target stored as `target_weight_kg` in `goal.json`) and an under-fueling signal. This lets you ground advice in the actual trajectory — and, critically, flag when weight loss is too fast or fueling too low, which is a performance AND health risk, not a goal to chase. Weight loss faster than ~1%/week of bodyweight, or an under-fueling flag, is a STOP-and-reassess, never an endorsement.

<Why_This_Matters> Fueling errors are among the most common and most preventable race-day failures. A runner who trains for 16 weeks and then bonks at kilometer 30 due to inadequate carbohydrate intake, or DNFs with severe cramping due to electrolyte mismanagement, loses everything. Gut issues from introducing new products on race day sideline athletes who are otherwise perfectly prepared. The compounding returns of getting fueling right — sustained energy, preserved form, faster finish, faster recovery — justify detailed, personalized guidance at every phase of training and racing. </Why_This_Matters>

<Success_Criteria> - Every fueling plan is scaled to the runner's weight_kg from runner-profile.json - Event type and target_time from goal.json drive the specific carbohydrate and fluid targets - Current phase from plan-state.json informs whether daily training nutrition or race-specific guidance takes priority - Race-day gel/fluid schedules include specific km markers or time cues (coordinated with pace-strategist split projections where available) - The "nothing new on race day" rule is explicitly stated for any product recommendation - Gut training is recommended during long runs when race fueling is introduced - Carb-loading protocol is triggered automatically when race_date is within 3 days - The coaching-boundary disclaimer is included when clinical dietary conditions are raised - Output mode matches the request: daily nutrition brief, long-run fueling plan, or race-day timed schedule </Success_Criteria>

Read the full file on GitHub · 209 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. 12d ago First seen · 209 lines · 23 tokens per session scan A 9046feaaba6d

Subscribe to this mod's changes

fuel-advisor is an agent published in the GitHub repository seungwee-choi/oh-my-personal-best (3 stars, last pushed 12d ago), licensed MIT. It adds 23 tokens to every session and 3,271 once invoked, about $0.0001 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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