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 | $0.00553 |
| Opus 5.5 | $0.00006 | $0.00221 |
| Sonnet 5.5 | $0.00003 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00055 |
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 26d 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, adaptive)
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。总量由代码累加逐项估算，作为后续交流的真实依据。
| Parameter | Type | Required | Description |
|---|---|---|---|
| meal_type | string (enum: breakfast, lunch, dinner, snack) | yes | 餐次 |
| items | array (items: object {name:string, calories:integer, protein_g:number, carbs_g:number, fat_g:number}) | yes | 已吃食物及逐项营养估算；非空数组，每项五个字段齐全，name 非空，营养数值非负且有限 |
| source | string (enum: text, photo, voice) | text / photo / voice，默认 text | |
| date | string | YYYY-MM-DD，默认今天 |
query_meals (routed, adaptive)
读取近期餐食、记录 ID、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，正整数，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)
按查询结果中的记录 ID 删除一条明确饮食记录。
| Parameter | Type | Required | Description |
|---|---|---|---|
| meal_id | integer | yes | query_meals 返回的记录 ID |
Capability Context
log_meal的营养数字是估算，不是实测值。- 早餐、午餐、晚餐按日期和餐次更新该餐记录；零食记录可有多条。更正同一天的同一正餐可重新 log_meal；要移除一条记录可使用 delete_meal。
delete_meal仅删除当前用户指定 ID 的一条饮食记录，不按日期或餐型批量删除。
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.
- 26d ago Changed 286251a713e6
- 1mo ago Changed 3fc4f8f51e5b
- 1mo ago Changed · -5 lines d1ebbe471577
- 1mo ago Changed · +12 lines · +8 tokens per session c15044ca8a87
- 2mo ago First seen · 38 lines · 8 tokens per session scan A 3aedb864c704
meal is a skill published in the GitHub repository shikidmsh-rgb/mochibot (108 stars, last pushed 4d ago), licensed MIT. It adds 16 tokens to every session and 553 once invoked, about $0.0001 per session on Opus 5.5. 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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