Borrowing it
Nothing to install: this file belongs to aligundogdu/bite-ai-dietitian. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aligundogdu/bite-ai-dietitian/main/.claude/skills/inbox/SKILL.mdgit clone --depth 1 https://github.com/aligundogdu/bite-ai-dietitianWrote 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/aligundogdu/bite-ai-dietitian/inbox)<a href="https://agentmods.dev/skills/aligundogdu/bite-ai-dietitian/inbox"><img src="https://agentmods.dev/badge/skills/aligundogdu/bite-ai-dietitian/inbox/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/aligundogdu/bite-ai-dietitian/inbox"><img src="https://agentmods.dev/badge/skills/aligundogdu/bite-ai-dietitian/inbox.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 | $0.00053 | $0.00347 |
| Opus 5.5 | $0.00021 | $0.00139 |
| Sonnet 5.5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
inbox 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 9d 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
Process the Telegram inbox
The bot in bot/ is on-demand: it does not run all the time. Telegram keeps undelivered updates for ~24 hours, so starting the bot once collects everything sent since the last run.
Steps
- Start the bot in the background:
cd bot && node src/bot.js. - Wait a few seconds for pending updates to land in
bot/data/messages/YYYY-MM-DD.json(media inbot/data/media/). - Read the JSON. Skip messages already ingested (compare timestamps with the
> 📌quotes in the daily logs). - For each new message:
- food or drink → follow the
log-mealskill - training → follow the
log-trainingskill - weight or measurements → follow the
weigh-inskill - photo of a meal → describe it, estimate, and ask for weights only if the estimate is shaky. Photos destined for bite/ must be converted to sRGB first (
bite/scripts/to-srgb.sh).
- food or drink → follow the
- Stop the bot (kill the process) when done.
- Tell the user what was ingested in one short list. If something they expect is missing, ask them to check that the message shows as delivered in Telegram before assuming data loss. Messages older than ~24 hours are gone and need to be resent.
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.
- 9d ago First seen · 22 lines · 53 tokens per session scan A 3ea998121d3a
inbox is a skill published in the GitHub repository aligundogdu/bite-ai-dietitian (5 stars, last pushed 9d ago), licensed MIT. It adds 53 tokens to every session and 347 once invoked, about $0.0002 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 2026-10-19.
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