Meal Suggester

AdvisoryAudited by Static analysis on Apr 30, 2026.

Overview

No suspicious patterns detected.

Findings (0)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Food preferences, allergies, inventory, and feedback may persist locally and influence future suggestions; stale or incorrect entries could lead to unsuitable meal recommendations.

Why it was flagged

The skill stores dietary and allergy information in persistent markdown profile files, which is expected for this purpose but should be kept accurate and reviewed.

Skill content
- **Allergies:** Fruits de mer (poissons, crustacés) ... - Allergique aux fruits de mer — STRICT
Recommendation

Review and edit the preference, inventory, and history files before relying on suggestions, especially for allergies or medical dietary needs.

What this means

If a schedule is later configured, the skill could run or send meal reminders without a fresh request each time.

Why it was flagged

The documentation describes scheduled autonomous reminders. This is disclosed, but the supplied artifacts do not include a cron installer or cron entry.

Skill content
- **Daily suggestions at 19:00** via cron job ... Daily at 19:00 (7 PM) — a reminder with a recipe idea lands in your chat.
Recommendation

Only enable scheduled reminders intentionally, and check your cron or scheduler configuration if you do not want daily runs.

What this means

Users may over-trust the skill to enforce inventory, preference, or allergy constraints that are not fully implemented in the supplied script.

Why it was flagged

These claims are broader than the reviewed implementation, which selects a random static recipe and appends to history without showing actual inventory parsing, preference matching, or learning logic.

Skill content
1. **Reads current inventory** ... 2. **Checks preferences** ... 4. **Suggests shopping** ... 6. **Logs suggestion** to history for learning
Recommendation

Treat suggestions as informal ideas, manually verify ingredients and dietary constraints, and update the implementation if strict preference or allergy enforcement is needed.