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 training-dashboardgit 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/training-dashboard)<a href="https://agentmods.dev/skills/colineberhardt/claude-running-coach/training-dashboard"><img src="https://agentmods.dev/badge/skills/colineberhardt/claude-running-coach/training-dashboard/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/training-dashboard"><img src="https://agentmods.dev/badge/skills/colineberhardt/claude-running-coach/training-dashboard.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 | $0.00111 | $0.05924 |
| Opus 5 | $0.00056 | $0.02962 |
| Sonnet 5 | $0.00022 | $0.01185 |
| Haiku 4.5 | $0.00011 | $0.00592 |
Grade A, and why
training-dashboard 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.
How it starts
The opening of the file, as written. The whole thing — 566 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Training Dashboard
Generate an HTML dashboard with retro styling showing comprehensive training progress toward the half marathon goal. Outputs a single HTML file saved to dashboard.html that can be opened in any browser.
Dashboard Configuration
When generating the dashboard, you will prompt the user for their preferences. If the user has previously provided preferences in the conversation, use those. Otherwise, ask for the following:
Configuration Prompts
1. Layout Style
Ask: "What level of detail would you like?"
detailed(default): Full metrics, large charts, extensive commentarycompact: Key metrics, medium charts, brief commentaryultra-compact: Essential metrics only, small charts, minimal commentary
2. Retro Style Theme
Ask: "Which retro theme would you like?"
terminal-green(default): Classic green phosphor CRT terminal (green on black)amber-monitor: Vintage amber monochrome display (amber on dark brown)ibm-blue: IBM mainframe blue screen (cyan on blue)paper-print: Dot matrix printer style (black on cream)
3. Commentary Style
Ask: "What style of coaching commentary?"
conversational(default): Chatty, casual coaching style with personalityanalytical: Data-focused with objective observationsmotivational: Encouraging and uplifting focusminimal: Brief, to-the-point feedback
4. Optional Customization
Only ask if the user seems interested in customization:
- Chart styles (weekly mileage:
bar|sparkline|progress-bar) - Which sections to show/hide
Default Configuration
If the user wants to skip configuration or says "just use defaults", use:
- Layout:
detailed - Theme:
terminal-green - Commentary:
conversational - Chart styles:
barfor mileage,timelinefor phase,gridfor sessions - All sections enabled
Dashboard Generation Workflow
1. Prompt for Configuration
Before generating the dashboard, ask the user for their preferences (unless they've already specified them in the conversation):
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 · 566 lines · 111 tokens per session scan A c9c50f17f2e9
training-dashboard is a skill published in the GitHub repository ColinEberhardt/claude-running-coach (23 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 5,924 once invoked, about $0.0006 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 2026-08-30.
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