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 AtlasOmnia/hermes-custom-pack --skill meal-trackergit clone --depth 1 https://github.com/AtlasOmnia/hermes-custom-packWrote 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/atlasomnia/hermes-custom-pack/meal-tracker)<a href="https://agentmods.dev/skills/atlasomnia/hermes-custom-pack/meal-tracker"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-custom-pack/meal-tracker.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.01155 |
| Opus 5 | $0.00017 | $0.00577 |
| Sonnet 5 | $0.00007 | $0.00231 |
| Haiku 4.5 | $0.00003 | $0.00115 |
Grade A, and why
meal-tracker 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 8d 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.
This is a copy
100% identical to meal-tracker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meal Tracker
Log meals from a photo or a text description, track calories and macros against the user's daily budget, and keep a dated markdown food log.
Setup (ask once, then remember)
- Daily calorie target and optional macro targets (protein/fat/carbs in grams).
- Log location — the user's notes app or a folder (for example an Obsidian vault,
~/Food Logs, or their notes directory). Ask once; do not assume a path. - If the user later changes the target, update the stored value and the current log header.
Meal logging workflow
Photo input (user sends image)
- Use
vision_analyzewith the image — ask: "Identify each food item, estimate portion sizes in common units (oz, cups, pieces), and provide calorie + macro breakdown per item." - If the photo is clearly a Nutrition Facts label, skip broad estimation and use the exact visible label values: serving size, calories, protein, fat, carbs, and useful notes (sodium/fiber/sugar). Treat one visible bag/container as one serving unless the user says otherwise.
- If the user combines text + image (e.g. "add 1 coffee and this"), log both in the same timestamped meal/snack section.
- For quick repeated "Add" messages with a label photo, use the visible label values, append a timestamped snack/drink section to today's log, recalculate totals, and verify the file. Do not ask for product names when the label gives enough to log an accurate entry.
- A bare food/label image after an active food-log exchange is an implicit "add this" — log one serving/container from the visible label unless the image suggests multiple servings.
- If today's log is missing but the chat already contains same-day entries, reconstruct the daily log from the conversation before appending.
- Parse the response into structured entries, log to the daily file, and report: items logged, calories used, remaining for the day.
Text input (user describes a meal)
- Estimate portions from common serving sizes when not specified; flag uncertain estimates.
- Use standard nutrition values (USDA) for known foods.
- For recurring packaged items ("the protein bars", "same coffee"), reuse the most recent matching line item's calories/macros and mention that briefly.
- Log to the daily file and report remaining calories.
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.
- 8d ago First seen · 105 lines · 34 tokens per session scan A 4105e8fcb8ea
meal-tracker is a skill published in the GitHub repository AtlasOmnia/hermes-custom-pack (56 stars, last pushed 24d ago), licensed MIT. It adds 34 tokens to every session and 1,155 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to meal-tracker, differing in 0 lines, and is treated as a copy.
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