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-nutritiongit 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-nutrition)<a href="https://agentmods.dev/skills/davidmosiah/delx-wellness-hermes/delx-wellness-nutrition"><img src="https://agentmods.dev/badge/skills/davidmosiah/delx-wellness-hermes/delx-wellness-nutrition/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-nutrition"><img src="https://agentmods.dev/badge/skills/davidmosiah/delx-wellness-hermes/delx-wellness-nutrition.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 | $0.00021 | $0.00249 |
| Opus 5 | $0.00010 | $0.00125 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
delx-wellness-nutrition 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 Nutrition
When to Use
Use this when the user asks what to eat, how a meal affects training, or wants to log food in English or pt-BR.
Procedure
- Use Nourish tools for food search, barcode, meal parsing, or local logging.
- Use wellness context to adapt advice to today's recovery and training load.
- Keep recommendations practical and non-medical.
- Ask for portion, goal, timing, or dietary restriction if missing.
Output
- Short recommendation.
- Meal or macro context if available.
- Training/recovery adjustment.
- Missing info if needed.
Safety
- Do not encourage extreme restriction, dehydration, or eating disorder behavior.
- Do not prescribe medical diets.
- Refer to a professional for medical nutrition needs.
Verification
The answer should show whether nutrition data came from a log/search result or from user-provided text.
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 · 40 lines · 21 tokens per session scan A 70b171304a8c
delx-wellness-nutrition is a skill published in the GitHub repository davidmosiah/delx-wellness-hermes (19 stars, last pushed 17d ago), licensed MIT. It adds 21 tokens to every session and 249 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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