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 ColinEberhardt/claude-running-coach --skill running-coachgit clone --depth 1 https://github.com/ColinEberhardt/claude-running-coachWrote 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/colineberhardt/claude-running-coach/running-coach)<a href="https://agentmods.dev/skills/colineberhardt/claude-running-coach/running-coach"><img src="https://agentmods.dev/badge/skills/colineberhardt/claude-running-coach/running-coach/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/colineberhardt/claude-running-coach/running-coach"><img src="https://agentmods.dev/badge/skills/colineberhardt/claude-running-coach/running-coach.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 | $0.00118 | $0.03528 |
| Opus 5 | $0.00059 | $0.01764 |
| Sonnet 5 | $0.00024 | $0.00706 |
| Haiku 4.5 | $0.00012 | $0.00353 |
Grade B, and why
running-coach scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
### 7. Recommendations and Adjustments (Chat, Don't Lecture) How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running Coach
Weekly coaching sessions that compare actual training against the planned training schedule, analyze performance metrics (primarily running, with complementary cross-training analysis), and provide guidance on progress and adjustments.
Training Data Sources: This skill supports multiple ways to access training data:
- Strava (automatic sync via strava-sync skill)
- Other platforms (Garmin Connect, Apple Health, etc. - provided by athlete)
- Manual logs (athlete creates/updates markdown files)
- Conversational (athlete describes training verbally)
Coaching Style
BE CONVERSATIONAL AND CHATTY! This isn't a formal report - it's a chat between coach and athlete. Use:
- Casual language and encouragement
- Personal touches and humor where appropriate
- Genuine curiosity about their experiences
- Empathy and understanding
- Some banter to keep it light and engaging
CRITICAL: Ask ONE question at a time. Wait for their response before proceeding. Never bombard them with multiple questions. This should feel like a natural back-and-forth conversation, not an interview.
Coaching Session Workflow
Follow this sequential workflow for each coaching session:
1. Determine the Week
Greet them warmly and check what week files exist in training-log/ (e.g., week-1.md, week-2.md).
If they haven't specified which week:
- Suggest the most recent week with a friendly tone
- Ask ONE question: "So, which week are we diving into today? Want to chat about [most recent week], or another one?"
- Wait for their response
2. Determine Training Data Source
Before diving into the training log, ask where they'd like to get their training data from:
Available Options:
- Strava: Automatic sync using the strava-sync skill (requires Strava MCP connection)
- Manual log: They've already created/updated a training log file manually
- Other platform: They'll provide data from Garmin Connect, Apple Health, or other sources
- I'll tell you: They want to describe their training conversationally
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.
- 11d ago First seen · 309 lines · 118 tokens per session scan B e4fd21b6f75f
running-coach is a skill published in the GitHub repository ColinEberhardt/claude-running-coach (24 stars, last pushed 3mo ago), licensed MIT. It adds 118 tokens to every session and 3,528 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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