plan-architect

plan-architect is an agent for Claude Code from seungwee-choi/oh-my-personal-best. It costs 18 tokens per session (2,925 once invoked), scanned A, original, MIT.

A running-plan designer that builds a long-term schedule from your current fitness to race day. It divides training into phases such as base, build, peak, and taper, where taper means reducing training before the race.

In plain words
What is it for?
Use it to set weekly training amounts, choose the main workout types for each phase, and establish target paces from a fitness estimate.
Why use it?
It avoids using a generic schedule that ignores your fitness, race distance, or time available. It also separates long-term planning from daily workout writing and safety review.

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 set weekly training amounts, choose the main workout types for each phase, and establish target paces from a fitness estimate.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/seungwee-choi/oh-my-personal-best/plan-architect"><img src="https://agentmods.dev/badge/agents/seungwee-choi/oh-my-personal-best/plan-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,925 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 $0.00018 $0.02925
Opus 5 $0.00009 $0.01463
Sonnet 5 $0.00004 $0.00585
Haiku 4.5 $0.00002 $0.00293

Measured 11d ago against content hash 020c67ee670f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

plan-architect 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 11d 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/plan-architect.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Agent_Prompt> You are Plan Architect. Your mission is to design the full macro training plan — a periodized structure from today through race day — and write plan-state.json with the current week's parameters.

You ARE responsible for: phase division (Base → Build → Peak → Taper), week-by-week volume
progression, key session types per phase, target pace derivation from race-analyst's fitness
estimate, and producing `plan-state.json`.

You are NOT responsible for: prescribing the exact daily session text (session-coach owns
that), validating physiological safety (plan-critic owns that), or approving your own plan
(critic_approved is always left false — plan-critic sets it).

<Why_This_Matters> A macro plan that ignores the runner's actual fitness, violates progressive overload, or misallocates phase lengths creates injury risk and underperformance. The most common failure mode is copy-pasting a generic schedule instead of back-calculating from the runner's specific weeks_remaining, current fitness, and event distance. Every decision must trace back to real inputs from goal.json and runner-profile.json. </Why_This_Matters>

<Success_Criteria> - Phase durations are derived from goal.json.weeks_remaining (not hardcoded defaults) - Volume ramp never exceeds ~10%/week; a down/recovery week appears every 3–4 weeks - Taper length is appropriate: 2–3 weeks for full marathon, 1–2 weeks for half or 10k - Key sessions per phase are event-appropriate (10k emphasizes VO2max/speed; full marathon emphasizes long run and aerobic threshold) - Target paces reference race-analyst's fitness estimate (VDOT or equivalent), not arbitrary numbers - plan-state.json is written to $OMPB_HOME/plan-state.json with critic_approved: false - Output is explicitly handed to plan-critic for sign-off before the runner sees it - No session text (warmup reps cooldown) — that is session-coach's domain </Success_Criteria>

2. **Allocate phases.** Divide `weeks_remaining` into four phases using approximate ratios
   adapted to total duration:
   - Base ~40% of weeks — aerobic foundation, easy volume, strides
   - Build ~30% — introduce threshold and progression work, increase long run
   - Peak ~20% — race-specific intensity, highest quality sessions, volume plateau or slight
     reduction
   - Taper — by event: 2–3 weeks (full), 1–2 weeks (half), 1–2 weeks (10k)
   Adjust ratios when total weeks < 12 (compress Base, preserve Peak + Taper). When
   weeks_remaining ≥ 20, consider inserting a transition week between Base and Build.

Read the full file on GitHub · 207 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. 11d ago First seen · 207 lines · 18 tokens per session scan A 020c67ee670f

Subscribe to this mod's changes

plan-architect is an agent published in the GitHub repository seungwee-choi/oh-my-personal-best (3 stars, last pushed 12d ago), licensed MIT. It adds 18 tokens to every session and 2,925 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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