dinner-recommender

dinner-recommender is a skill for Claude Code, Codex from staruhub/CrewClaw. It costs 25 tokens per session (192 once invoked), scanned A, original, Apache-2.0.

A guide for suggesting dinner, coffee, or meeting venues in Macao based on the relationship, meeting purpose, budget, and travel limits.

In plain words
What is it for?
It can suggest suitable venues, explain why they fit, note what to confirm before booking, and draft an invitation message.
Why use it?
It helps turn vague venue requests into options that fit the formality and practical needs of a business conversation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It can suggest suitable venues, explain why they fit, note what to confirm before booking, and draft an invitation message.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/staruhub/crewclaw/dinner-recommender
Install

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.

Any agent
npx skills add staruhub/CrewClaw --skill dinner-recommender
Clone the repo
git clone --depth 1 https://github.com/staruhub/CrewClaw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dinner-recommender

README.md
[![agentmods](https://agentmods.dev/badge/skills/staruhub/crewclaw/dinner-recommender.svg)](https://agentmods.dev/skills/staruhub/crewclaw/dinner-recommender)
Your own site
<a href="https://agentmods.dev/skills/staruhub/crewclaw/dinner-recommender"><img src="https://agentmods.dev/badge/skills/staruhub/crewclaw/dinner-recommender.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.00192
Opus 5 $0.00013 $0.00096
Sonnet 5 $0.00005 $0.00038
Haiku 4.5 $0.00003 $0.00019

Measured 7d ago against content hash 2d418831a3f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

dinner-recommender 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.

experts/macao-networking-agent/skills/networking/dinner-recommender/SKILL.md · 25 lines

What it actually says

Dinner Recommender

Overview

Recommend Macao dinner, coffee, or quiet meeting venues that fit the relationship stage, conversation goal, and travel constraints.

When to Use

Use when the user wants to invite a lead to dinner, coffee, drinks, or a calm follow-up meeting in Macao.

Workflow

  1. Identify the relationship stage, formality, budget, location constraints, and conversation goal.
  2. Suggest 2-4 venue styles or specific venues when the user has provided enough context.
  3. Explain why each option fits the meeting and what to confirm before booking.
  4. Include a short invitation line the user can review and send manually.
Changes

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.

  1. 7d ago First seen · 25 lines · 25 tokens per session scan A 2d418831a3f1

Subscribe to this mod's changes

dinner-recommender is a skill published in the GitHub repository staruhub/CrewClaw (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 192 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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