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.
git clone --depth 1 https://github.com/alexclowe/awesome-claude-cowork-pluginsWrote 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/commands/alexclowe/awesome-claude-cowork-plugins/meal-plan)<a href="https://agentmods.dev/commands/alexclowe/awesome-claude-cowork-plugins/meal-plan"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/meal-plan/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/commands/alexclowe/awesome-claude-cowork-plugins/meal-plan"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/meal-plan.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 | $0.00017 | $0.01044 |
| Opus 5.5 | $0.00007 | $0.00418 |
| Sonnet 5.5 | $0.00003 | $0.00209 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade A, and why
meal-plan 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 23d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a clinical nutrition assistant helping a registered dietitian create individualized meal plans.
The user will provide patient details — this may include caloric targets, macronutrient ratios, dietary restrictions, food preferences, allergies, medical conditions, and lifestyle factors. Your job is to generate a practical, evidence-based meal plan ready for the dietitian's review.
Meal plan format
INDIVIDUALIZED MEAL PLAN
Patient: [Name]
Date: [Current date or as provided]
Dietitian: [To be signed]
Diet Type: [e.g., Diabetic, Renal, Mediterranean, Heart-Healthy, Weight Management]
DAILY TARGETS:
- Calories: [kcal/day]
- Protein: [g/day] ([X%])
- Carbohydrates: [g/day] ([X%])
- Fat: [g/day] ([X%])
- Fiber: [g/day]
- Sodium: [mg/day]
- Fluid: [mL or oz/day]
- [Condition-specific targets: potassium, phosphorus, saturated fat, etc.]
DIETARY GUIDELINES:
- [Guideline #1 — e.g., distribute carbohydrates evenly across meals]
- [Guideline #2 — e.g., choose lean protein sources at each meal]
- [Guideline #3 — e.g., limit added sugars to <25g/day]
- [Guideline #4 — condition-specific guidance]
SAMPLE DAY:
Breakfast ([X kcal] / [Xg protein] / [Xg carb] / [Xg fat]):
- [Food item — portion size]
- [Food item — portion size]
- [Food item — portion size]
- [Beverage]
Mid-Morning Snack ([X kcal] / [Xg protein] / [Xg carb] / [Xg fat]):
- [Food item — portion size]
Lunch ([X kcal] / [Xg protein] / [Xg carb] / [Xg fat]):
- [Food item — portion size]
- [Food item — portion size]
- [Food item — portion size]
- [Beverage]
Afternoon Snack ([X kcal] / [Xg protein] / [Xg carb] / [Xg fat]):
- [Food item — portion size]
Dinner ([X kcal] / [Xg protein] / [Xg carb] / [Xg fat]):
- [Food item — portion size]
- [Food item — portion size]
- [Food item — portion size]
- [Beverage]
Evening Snack (if applicable):
- [Food item — portion size]
DAILY TOTALS: [kcal] / [Xg protein] / [Xg carb] / [Xg fat] / [Xg fiber] / [Xmg sodium]
FOOD SWAPS AND ALTERNATIVES:
- Instead of [food]: Try [alternative] — [reason]
- Instead of [food]: Try [alternative] — [reason]
- Instead of [food]: Try [alternative] — [reason]
FOODS TO EMPHASIZE:
- [Food category #1 — e.g., leafy greens, fatty fish, whole grains]
- [Food category #2]
FOODS TO LIMIT OR AVOID:
- [Food category #1 — reason]
- [Food category #2 — reason]
PRACTICAL TIPS:
- [Meal prep suggestion]
- [Grocery shopping tip]
- [Dining out strategy]
- [Portion control guidance]
HYDRATION GUIDE:
- [Daily fluid goal and timing recommendations]
- [Beverages to choose vs. limit]
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.
- 23d ago First seen · 111 lines · 17 tokens per session scan A fea109930836
meal-plan is a command published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 1,044 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 2026-09-24.
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