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 davidmosiah/delx-wellness-hermes --skill delx-wellness-traininggit clone --depth 1 https://github.com/davidmosiah/delx-wellness-hermesWrote 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/davidmosiah/delx-wellness-hermes/delx-wellness-training)<a href="https://agentmods.dev/skills/davidmosiah/delx-wellness-hermes/delx-wellness-training"><img src="https://agentmods.dev/badge/skills/davidmosiah/delx-wellness-hermes/delx-wellness-training/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/davidmosiah/delx-wellness-hermes/delx-wellness-training"><img src="https://agentmods.dev/badge/skills/davidmosiah/delx-wellness-hermes/delx-wellness-training.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 | $0.00023 | $0.00390 |
| Opus 5 | $0.00012 | $0.00195 |
| Sonnet 5 | $0.00005 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
delx-wellness-training 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.
What it actually says
Delx Wellness Training
When to Use
Use this when the user asks if they should train hard, rest, play tennis, lift, run, deload, or build a workout.
Procedure
- Pull recovery context with
wellness_today,recommend_today_training, or provider tools. - Consider recent strain, sleep quality, HRV/readiness, activity load, soreness, and user objective.
- If a workout is requested, call
build_workout_from_recoveryor Exercise Catalog tools when available. - Choose one of: hard session, moderate session, technique session, mobility/recovery, rest.
- Explain why in practical language.
Output
- Recommendation.
- Intensity target.
- Workout outline or recovery protocol.
- Evidence from tools.
- Confidence and data gaps.
Safety
- Do not tell the user to train through injury, chest pain, fainting, fever, or concerning symptoms.
- Ask a clarifying question if symptoms or injury risk are present.
- Keep advice non-medical.
Verification
The recommendation should be traceable to live or recent wellness data, or clearly marked as low-confidence.
Dense time-series
Prefer garmin_activity_series, strava_activity_series, fitbit_heart_series, polar_heart_series (agent-safe-series/v1) over raw stream dumps.
Never dump raw continuous streams, full-resolution sample arrays, or unscoped export payloads unless the user gave explicit_user_intent for that dense dump. Default path is always the capped series tools.
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 · 47 lines · 23 tokens per session scan A 33f270823f74
delx-wellness-training is a skill published in the GitHub repository davidmosiah/delx-wellness-hermes (19 stars, last pushed 17d ago), licensed MIT. It adds 23 tokens to every session and 390 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 2026-08-30.
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