A running-advice workflow that combines today’s weather and air-quality forecast with a planned workout. Air quality measures pollutants such as fine particles that can affect outdoor exercise.

Setting a running location, retrieving the forecast, and adapting today’s workout to temperature, humidity, precipitation, wind, and PM2.5 levels.

It helps runners adjust timing, intensity, and hydration when heat, cold, rain, wind, or pollution could affect the session.

pb-weather — Skill for Claude Code by seungwee-choi

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code

/plugin marketplace add seungwee-choi/oh-my-personal-best

Claude Code

/plugin install 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/pb-weather/github.svg)](https://agentmods.dev/skills/seungwee-choi/oh-my-personal-best/pb-weather)

Your own site

<a href="https://agentmods.dev/skills/seungwee-choi/oh-my-personal-best/pb-weather"><img src="https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/pb-weather/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/seungwee-choi/oh-my-personal-best/pb-weather"><img src="https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/pb-weather.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 575 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.

Model	Per session	Once invoked
Fable 5.1	$0.00019	$0.00575
Opus 5	$0.00010	$0.00287
Sonnet 5	$0.00004	$0.00115
Haiku 4.5	$0.00002	$0.00057

Measured 12d ago against content hash 3fc59798bf93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pb-weather 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.

skills/pb-weather/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Use_When>

"오늘 뛰기 어때?", "지금 달려도 돼?", "날씨 보고 조정해줘", "what's it like to run today?"
Before today's session when conditions might matter (heat, cold, rain, dust/미세먼지) </Use_When>

<Do_Not_Use_When>

No location is set and the runner doesn't want to give one → skip weather silently; prescribe normally. Never surface "weather unavailable" as a coaching limitation. </Do_Not_Use_When>

Step 1 — Resolve location (once)

ompb_core.weather_forecast(home) reads the location cached in config.json (wx_*). If none is set, ask the runner for a city/area once and store it:

python3 "$CLAUDE_PLUGIN_ROOT/scripts/weather.py" set-location --place "<city/area>"

(Geocodes the place; lat/lon/tz optional.)

Step 2 — Fetch + advise

python3 "$CLAUDE_PLUGIN_ROOT/scripts/weather.py" forecast

Returns today's forecast (temp, apparent temp, humidity, precip, wind, WMO condition) + air quality (PM2.5 / AQI). weather_advise(day, workout_type) turns it into a running adjustment.

Step 3 — Fold into the session

session-coach combines the advice with the planned session and the injury guardrail: heat/humidity → earlier start, lower intensity, more fluids; cold → warm-up longer; high AQI → quality indoors or substitute. Keep it one or two concrete lines — actionable, not a weather report.

<Stop_Conditions>

$CLAUDE_PLUGIN_ROOT unset → run python3 scripts/weather.py … from the repo.
Network unavailable / forecast fails → prescribe normally without weather; don't block the session. </Stop_Conditions>

Read the full file on GitHub · 57 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.

12d ago First seen · 57 lines · 19 tokens per session scan A 3fc59798bf93

Subscribe to this mod's changes

pb-weather is a skill published in the GitHub repository seungwee-choi/oh-my-personal-best (3 stars, last pushed 12d ago), licensed MIT. It adds 19 tokens to every session and 575 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.

Claude Code Multi-Agent Scientific ai-agents claude-code-plugin marathon running

relax-dev-debug

Develop and debug the Relax reinforcement learning project. Use this skill whenever modifying code in the relax/ directory, or running remote training jobs on a Ray cluster for validation. Also use it when the user mentions training, debugging training runs, submitting Ray jobs, or fixing training errors.

redai-infra/Relax · 60 tokens

great_cto

Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.

avelikiy/great_cto · 32 tokens

local-paper-navigator

Find and read papers from the local papers library (repo papers/, mounted at /papers/). Three native tools form a reading funnel: papersearch (one line per paper), paperread (card + section outline), papersection (one verbatim section — the only full-text access). Use when: find papers in the local library, read a…

CamusGIT/EvoQuant · 119 tokens

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).

avelikiy/great_cto · 59 tokens

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.