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 Rayyan011/avasfood-mcp --skill food-delivery-budgetinggit clone --depth 1 https://github.com/Rayyan011/avasfood-mcpWrote 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/rayyan011/avasfood-mcp/food-delivery-budgeting)<a href="https://agentmods.dev/skills/rayyan011/avasfood-mcp/food-delivery-budgeting"><img src="https://agentmods.dev/badge/skills/rayyan011/avasfood-mcp/food-delivery-budgeting/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/rayyan011/avasfood-mcp/food-delivery-budgeting"><img src="https://agentmods.dev/badge/skills/rayyan011/avasfood-mcp/food-delivery-budgeting.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 | $0.00048 | $0.00728 |
| Opus 5.5 | $0.00019 | $0.00291 |
| Sonnet 5.5 | $0.00010 | $0.00146 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
food-delivery-budgeting 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Food Delivery Budgeting
Overview
Turn the AVAS MCP's private local spending history into concise, non-judgmental budget insight. The ledger starts with orders successfully submitted through this MCP; do not imply it covers older AVAS purchases unless historical import is later added.
When to Use
Use for questions such as:
- “How much did I spend on delivery this month?”
- “Where do I order from most?”
- “What kind of food am I buying?”
- “Can I keep delivery under MVR 1,000?”
- “Find dinner that keeps me within my weekly budget.”
Analysis Workflow
- Choose period: infer 7 days for “this week,” 30 days for “this month” unless calendar precision matters, or use the user's explicit period. Call
delivery_spending_report(days). - State coverage: say tracking begins with the first order placed through this MCP. Completion: never frame partial history as all-time AVAS history.
- Summarize: report total spend, food subtotal, delivery/fees, order count, and average order.
- Break down: identify top restaurants and food types by MVR, not just order count.
- Interpret carefully: distinguish delivery fees from food spending and avoid moralizing language.
- Budget forward: when the user gives a cap, calculate remaining budget and suggest current AVAS choices whose live quoted total fits—not merely menu price.
Recommended Output
## Last 30 days
- Total: MVR …
- Food: MVR …
- Delivery and fees: MVR …
- Orders: … · Average: MVR …
Top restaurant: …
Top food type: …
Budget note: …
Classification
Food types are inferred from item names: rice, burgers, pizza, noodles, chicken, seafood, drinks, dessert, or other. Treat them as estimates; explain “other” rather than inventing a category.
Privacy
- Spending data stays in
~/.avasfood-mcp/spending-history.jsonwith private permissions. - Do not print complete raw ledger rows unless the user explicitly asks.
- Never commit the state directory, receipts, addresses, phone numbers, or order tokens.
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.
- 1mo ago First seen · 78 lines · 48 tokens per session scan A 1b78572aad10
food-delivery-budgeting is a skill published in the GitHub repository Rayyan011/avasfood-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 728 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 2026-08-31.
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