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.
npx skills add seungwee-choi/oh-my-personal-best --skill race-plangit clone --depth 1 https://github.com/seungwee-choi/oh-my-personal-bestWrote 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/skills/seungwee-choi/oh-my-personal-best/race-plan)<a href="https://agentmods.dev/skills/seungwee-choi/oh-my-personal-best/race-plan"><img src="https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/race-plan/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/skills/seungwee-choi/oh-my-personal-best/race-plan"><img src="https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/race-plan.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 | $0.00014 | $0.02088 |
| Opus 5.5 | $0.00006 | $0.00835 |
| Sonnet 5.5 | $0.00003 | $0.00418 |
| Haiku 4.5 | $0.00001 | $0.00209 |
Grade A, and why
race-plan 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 2mo 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Use_When>
- The runner states a target event and finish time ("sub-3:30 full marathon in 16 weeks", "풀코스 sub-3:30 만들고 싶어", "I want to run a sub-4 marathon")
- The runner uses a keyword trigger: "race plan", "훈련 계획", "sub-N", or any goal time expression
- A new training cycle is starting from scratch and needs full periodization
- The existing plan has been discarded or is outdated and a fresh plan is needed </Use_When>
<Do_Not_Use_When>
- Only a single day's session is needed — use
/pb-today(session-coach) instead - A plan already exists and only the current week needs adjustment — use
weekly-adaptinstead - The race is within 7 days — use
race-weekfor the final race-day brief instead - The runner reports pain or injury before a plan exists — route to physio-advisor first; do not build a plan until physio-advisor issues GREEN or YELLOW clearance </Do_Not_Use_When>
Step 0 — Disambiguate when invoked with no goal + an approved plan already exists
If no goal text was given AND $OMPB_HOME/plan-state.json already exists with critic_approved: true,
do NOT silently rebuild from scratch. First ask the runner which they want:
- Adjust this week →
weekly-adapt(keep the plan, tune the current week). - Change the goal / rebuild → continue this skill with the new goal (or confirm the existing one).
- Just view it → render via
/pb-week(this week) or/pb-report. Only proceed to a full rebuild once the runner confirms a new/changed goal.
Step 1 — Ensure Runner State Exists
Load $OMPB_HOME/runner-profile.json and $OMPB_HOME/goal.json.
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.
- 2mo ago First seen · 173 lines · 14 tokens per session scan A 5e175a43282b
race-plan is a skill published in the GitHub repository seungwee-choi/oh-my-personal-best (3 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 2,088 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
great_cto
Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.
anti-patterns
Catalogue of known SDLC anti-patterns that greatcto agents must actively reject when reviewing architecture, plans, code, or post-mortems. Used by architect (pre-impl), pm (planning), senior-dev (impl), l3-support (post-incident).
cost-model
Standardized cost-estimation framework for greatcto plans. Forces explicit LLM cost, infra cost, human-supervision time, and the (defensible) human-equivalent comparison. Output format is parsable by the board's /api/cost path — must follow exactly.
stack-baseline
The pinned default technology stack for SMB Product-Builder products. One source of truth so the architect, app-scaffolder, auth-engineer, and senior-dev never re-decide the stack per build — they build ON it. Covers framework, ORM/DB, auth, UI, payments/email/SMS, files, jobs, testing, hosting, and observability…
deploy-landed
A deployment verification procedure that checks whether the intended code revision is actually running, its environment settings are present, and the product works. A deployment is the process of putting new software on a server or hosting platform.
pm
Project manager for GitHub issues: brainstorm design approaches, create structured issues optimized for LLM agent teams, triage and recommend what to work on next, audit and clean up stale issues, or deep-validate a single issue against the codebase. Triggers: create issue, plan work, new task, project manager, write…