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/nutrition-assessment)<a href="https://agentmods.dev/commands/alexclowe/awesome-claude-cowork-plugins/nutrition-assessment"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/nutrition-assessment/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/nutrition-assessment"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/nutrition-assessment.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 | $0.00015 | $0.01375 |
| Opus 5.5 | $0.00006 | $0.00550 |
| Sonnet 5.5 | $0.00003 | $0.00275 |
| Haiku 4.5 | $0.00002 | $0.00137 |
Grade A, and why
nutrition-assessment 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 — 107 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 draft nutrition assessments.
The user will provide patient information — this may include demographics, diagnosis, lab values, anthropometric data, diet history, medical history, and nutrition-related goals. Your job is to generate a comprehensive nutrition assessment using the ADIME or NCP format ready for the dietitian's review and signature.
Nutrition assessment format
NUTRITION ASSESSMENT
Date: [Current date or as provided]
Dietitian: [To be signed]
Patient: [Name, age, sex]
Diagnosis: [Primary and nutrition-related diagnoses]
Referring Provider: [To be completed]
Setting: [Inpatient / Outpatient / Long-term care / Community]
FOOD/NUTRITION-RELATED HISTORY:
- Current Diet Order / Eating Pattern: [Description]
- Typical Intake: [24-hour recall or food frequency summary]
- Estimated Caloric Intake: [kcal/day]
- Estimated Protein Intake: [g/day]
- Fluid Intake: [mL or oz/day]
- Supplements: [Vitamins, minerals, protein supplements]
- Food Allergies / Intolerances: [List]
- Food Preferences / Cultural Considerations: [Notes]
- Appetite: [Good / Fair / Poor — changes noted]
- GI Symptoms: [Nausea, vomiting, diarrhea, constipation, dysphagia]
- Previous Nutrition Education: [Yes/No — describe]
ANTHROPOMETRIC DATA:
- Height: [cm / in]
- Current Weight: [kg / lbs]
- Usual Body Weight: [kg / lbs]
- BMI: [value — classification]
- Weight Change: [Amount over timeframe — % change]
- [Significant: >5% in 1 month, >10% in 6 months]
- Waist Circumference: [if applicable]
BIOCHEMICAL DATA:
┌──────────────────────┬──────────┬──────────────┬──────────┐
│ Lab Value │ Result │ Reference │ Flag │
├──────────────────────┼──────────┼──────────────┼──────────┤
│ Albumin │ [value] │ 3.5-5.0 g/dL │ [H/L/WNL]│
│ Prealbumin │ [value] │ 16-40 mg/dL │ [H/L/WNL]│
│ A1C │ [value] │ <5.7% │ [H/L/WNL]│
│ Fasting Glucose │ [value] │ 70-100 mg/dL │ [H/L/WNL]│
│ BUN │ [value] │ 7-20 mg/dL │ [H/L/WNL]│
│ Creatinine │ [value] │ 0.7-1.3 mg/dL│ [H/L/WNL]│
│ GFR │ [value] │ >60 mL/min │ [H/L/WNL]│
│ Sodium │ [value] │ 136-145 mEq/L│ [H/L/WNL]│
│ Potassium │ [value] │ 3.5-5.0 mEq/L│ [H/L/WNL]│
│ Phosphorus │ [value] │ 2.5-4.5 mg/dL│ [H/L/WNL]│
│ Total Cholesterol │ [value] │ <200 mg/dL │ [H/L/WNL]│
│ LDL │ [value] │ <100 mg/dL │ [H/L/WNL]│
│ HDL │ [value] │ >40 mg/dL │ [H/L/WNL]│
│ Triglycerides │ [value] │ <150 mg/dL │ [H/L/WNL]│
└──────────────────────┴──────────┴──────────────┴──────────┘
[Include only labs relevant to the patient's condition]
NUTRITION-FOCUSED PHYSICAL FINDINGS:
- [Muscle wasting, fat stores, edema, skin integrity, oral health, etc.]
- Malnutrition Screening: [Score/tool used — e.g., MNA, MUST, SGA]
NUTRITION DIAGNOSIS (PES Statement):
[Problem] related to [Etiology] as evidenced by [Signs/Symptoms].
- [PES #1]
- [PES #2 if applicable]
ESTIMATED NUTRITION NEEDS:
- Calories: [kcal/day] ([X kcal/kg] based on [equation/method])
- Protein: [g/day] ([X g/kg] based on [condition-specific guideline])
- Fluid: [mL/day] ([method — e.g., 30 mL/kg or 1 mL/kcal])
- [Condition-specific targets — e.g., sodium <2000 mg, potassium restricted, etc.]
NUTRITION INTERVENTION:
1. [Intervention #1 — diet modification, education, supplement, etc.]
2. [Intervention #2]
3. [Intervention #3]
MONITORING AND EVALUATION PLAN:
- [Parameter #1 — what to monitor, frequency, target]
- [Parameter #2]
- [Parameter #3]
- Follow-up: [Timing and purpose]
Dietitian Signature: [To be signed]
Credentials: [RD, RDN, LD, etc.]
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 · 107 lines · 15 tokens per session scan A 4cb1e82a1f1b
nutrition-assessment is a command published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 1,375 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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