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 shikidmsh-rgb/mochibot --skill mealgit clone --depth 1 https://github.com/shikidmsh-rgb/mochibotWrote 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/shikidmsh-rgb/mochibot/meal)<a href="https://agentmods.dev/skills/shikidmsh-rgb/mochibot/meal"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/meal/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/shikidmsh-rgb/mochibot/meal"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/meal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00616 |
| Opus 5 | $0.00008 | $0.00308 |
| Sonnet 5 | $0.00003 | $0.00123 |
| Haiku 4.5 | $0.00002 | $0.00062 |
Grade A, and why
meal 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 7d 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
Meal Skill
Tool-only mode: log_meal (record meals with nutrition estimation) + query_meals (query meal history with daily summaries) + delete_meal (remove incorrect records).
Tools
log_meal (routed)
记录一餐的食物、估算热量和宏量营养素，适用于文字描述或食物照片。结果保留总量与逐项明细，作为后续交流的真实依据。
| Parameter | Type | Required | Description |
|---|---|---|---|
| meal_type | string | yes | breakfast / lunch / dinner / snack |
| items | string | yes | JSON 食物数组：[{"name":"麻婆豆腐","calories":250,"protein_g":15,"carbs_g":8,"fat_g":18}] |
| total_calories | integer | yes | 本餐估算总热量 |
| total_protein_g | number | 总蛋白质克数 | |
| total_carbs_g | number | 总碳水克数 | |
| total_fat_g | number | 总脂肪克数 | |
| source | string | text / photo / voice，默认 text |
|
| date | string | YYYY-MM-DD，默认今天 |
query_meals (routed)
读取近期餐食、热量摄入和营养趋势，可按日期或回看天数汇总。
| Parameter | Type | Required | Description |
|---|---|---|---|
| days | integer | 回看天数，默认 1（今天）。查一周用 7。 | |
| date | string | 指定日期 YYYY-MM-DD，会覆盖 days。 |
delete_meal (on_demand)
按日期和餐型删除饮食记录。用于用户说记错了或想删掉的情况。
| Parameter | Type | Required | Description |
|---|---|---|---|
| meal_type | string | yes | breakfast / lunch / dinner / snack |
| date | string | YYYY-MM-DD，默认今天 |
Capability Context
log_meal写入总热量和逐项营养估算；工具回执中的明细是用户可见价值，也明确了哪些数字只是估算。- 没有原地编辑餐食的操作。更正一条记录会产生一次删除和一次新记录，两次操作各自返回回执。
delete_meal是扩展能力，按日期和餐型删除整条记录。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago Changed · +12 lines · +8 tokens per session c15044ca8a87
- 12d ago First seen · 38 lines · 8 tokens per session scan A 3aedb864c704
meal is a skill published in the GitHub repository shikidmsh-rgb/mochibot (83 stars, last pushed 5d ago), licensed MIT. It adds 16 tokens to every session and 616 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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