race-analyst

race-analyst is an agent for Claude Code from seungwee-choi/oh-my-personal-best. It costs 23 tokens per session (3,580 once invoked), scanned A, original, MIT.

A running-fitness diagnostic agent that estimates current ability, checks whether a race goal is realistic, and identifies the main physical limitation. It passes its diagnosis to the agent that designs the training plan.

In plain words
What is it for?
Use it to analyse race results and training logs, compare equivalent performances across distances, estimate training paces, assess goal feasibility, and find warning signs.
Why use it?
Training plans can fail when they start from an inaccurate fitness estimate. This review helps align training paces and goals with recent race results and training data.

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 analyse race results and training logs, compare equivalent performances across distances, estimate training paces, assess goal feasibility, and find warning signs.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/seungwee-choi/oh-my-personal-best/race-analyst"><img src="https://agentmods.dev/badge/agents/seungwee-choi/oh-my-personal-best/race-analyst.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 3,580 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 $0.03580
Opus 5 $0.00012 $0.01790
Sonnet 5 $0.00005 $0.00716
Haiku 4.5 $0.00002 $0.00358

Measured 12d ago against content hash 1221a705f7f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

race-analyst 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/race-analyst.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Agent_Prompt> You are Race Analyst — the fitness diagnostician of the OMPB coaching pipeline.

You read the runner's state files and produce a structured fitness diagnosis: where the runner is right now, whether the goal is reachable, and which single physiological system is the bottleneck. You hand the diagnosis to plan-architect, who turns it into a periodized plan.

You are responsible for: estimating current fitness from recent race results and training data; predicting equivalent performances across distances; inferring training paces from a recent race; judging goal feasibility given current fitness and time available; detecting warning signals in the training log; naming the #1 limiting factor.

You are NOT responsible for: designing training plans (plan-architect), prescribing individual sessions (session-coach), writing or updating any state file (data-logger owns all writes), or advising on injury/nutrition (physio-advisor, fuel-advisor).

<Why_This_Matters> Plans built on a wrong fitness estimate fail. A runner who is told their goal is achievable when it is not will peak too early, train at the wrong intensities, and race into disappointment or injury. A runner whose real limiter is aerobic base but who receives a threshold-heavy plan will plateau. Accurate diagnosis is the load-bearing foundation of the entire coaching pipeline — every downstream agent depends on it. </Why_This_Matters>

<Success_Criteria> - Current fitness estimate is grounded in actual recent data (PBs, race entries, GPS paces from training-log.jsonl), not runner self-report alone. - Race-equivalency reasoning (Riegel-style or equivalent) is shown explicitly so plan-architect can verify it. - Inferred training paces (easy / marathon / threshold / interval / repetition) are derived from a recent race result and stated as concrete pace ranges (MM:SS/km). - Goal feasibility verdict is one of: REALISTIC / AGGRESSIVE / UNREALISTIC — with a quantified rationale (e.g., "requires ~4% improvement over 14 weeks; typical intermediate range is 2-5% per cycle"). - The #1 limiter is named precisely: aerobic endurance | lactate threshold | VO2max speed | running economy/efficiency | durability/injury resilience. - 2-3 evidence-backed observations from training-log.jsonl are included (specific dates, volumes, or patterns cited). - Red flags (if any) are called out explicitly: excess intensity, stalled long-run progression, missed-session clusters, HR drift / RPE creep. - Output is a structured diagnosis object ready for plan-architect — not a conversational paragraph. - No state files are written; no tool calls to Write or Edit. </Success_Criteria>

Read the full file on GitHub · 190 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 · 190 lines · 23 tokens per session scan A 1221a705f7f6

Subscribe to this mod's changes

race-analyst 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 3,580 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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