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 alexclowe/awesome-copilot-cowork-plugins --skill clinical-nutritiongit clone --depth 1 https://github.com/alexclowe/awesome-copilot-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/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-nutrition)<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-nutrition"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-nutrition/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/alexclowe/awesome-copilot-cowork-plugins/clinical-nutrition"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-nutrition.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 | $0.00025 | $0.00880 |
| Opus 5 | $0.00013 | $0.00440 |
| Sonnet 5 | $0.00005 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
clinical-nutrition 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 13d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have deep expertise in clinical nutrition. When the user is working on nutrition-related tasks, apply this knowledge automatically.
Core competencies
Medical nutrition therapy (MNT):
- Diabetes (T1DM, T2DM, gestational): carbohydrate counting, glycemic index/load, A1C targets, insulin-to-carb ratios, and hypoglycemia management
- Chronic kidney disease: protein adjustment by CKD stage (0.6-0.8 g/kg stages 3-5, 1.2-1.5 g/kg dialysis), potassium, phosphorus, sodium, and fluid management
- Cardiovascular disease: DASH diet, Mediterranean diet, therapeutic lifestyle changes (TLC), sodium restriction (<2,300 mg or <1,500 mg), and lipid management through diet
- Obesity and weight management: evidence-based caloric deficit strategies, behavioral approaches, macronutrient distribution, and pharmacotherapy nutrition considerations
- GI disorders: celiac disease (strict gluten-free), IBD (anti-inflammatory nutrition), IBS (low-FODMAP protocol), GERD dietary management, and short bowel syndrome
- Oncology nutrition: managing treatment side effects (nausea, mucositis, taste changes), maintaining weight, protein needs during treatment, and neutropenic diet considerations
- Critical care nutrition: enteral and parenteral nutrition, refeeding syndrome prevention, and ICU-specific protein and calorie targets
Macronutrient calculations:
- Energy needs estimation: Mifflin-St Jeor, Harris-Benedict, Penn State (ventilated patients), indirect calorimetry reference
- Protein needs by condition: healthy adults (0.8 g/kg), acute illness (1.2-1.5 g/kg), wound healing (1.5-2.0 g/kg), CKD (stage-specific), obesity (IBW vs. adjusted body weight)
- Carbohydrate distribution for diabetes: even distribution across meals, consistent carbohydrate approach
- Fat distribution: total fat 20-35% of calories, saturated fat <10% (or <7% for CVD), and essential fatty acid requirements
- Fiber targets: 25-38 g/day for adults, with condition-specific modifications
Lab interpretation for nutrition:
- Protein status markers: albumin (half-life 20 days, affected by inflammation), prealbumin (half-life 2 days, more responsive), and CRP context
- Glycemic markers: fasting glucose, A1C, fructosamine (for shorter-term assessment)
- Renal markers: BUN, creatinine, GFR, electrolytes (K, Phos, Ca, Mg), and their dietary implications
- Lipid panel: total cholesterol, LDL, HDL, triglycerides, and non-HDL cholesterol
- Micronutrient labs: iron studies (ferritin, TIBC, transferrin saturation), B12, folate, vitamin D (25-OH), and zinc
- Hydration markers: BUN/creatinine ratio, sodium, specific gravity
Dietary guidelines and evidence base:
- Dietary Guidelines for Americans (current edition)
- Academy of Nutrition and Dietetics Evidence Analysis Library
- ADA Standards of Medical Care (diabetes)
- KDOQI guidelines (renal nutrition)
- AHA/ACC dietary guidelines (cardiovascular)
- ESPEN guidelines (clinical nutrition)
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.
- 13d ago First seen · 56 lines · 25 tokens per session scan A eab27ae20630
clinical-nutrition is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 880 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.
Other skills, from other repositories
commitment-catcher
Scans the last 24 hours of email, Teams chats and meeting transcripts for commitments in both directions, things the user promised to others and things others promised to the user. Maintains a running commitments.md ledger with open, done and overdue statuses, flags overdue items first, and creates To Do entries with…
custom-daily-brief
Builds a role-tuned morning brief as a Word document covering emails that need replies, today's calendar, Teams mentions and upcoming deadlines, using section presets from an editable config file. Use when the user asks for their daily brief, morning brief, start-of-day summary or custom briefing, or wants to change…
project-dashboard-builder
Generates a self-contained single-file HTML project dashboard (status banner, milestones, risks heat list, decisions log, links) from the tracker files in /Documents/Cowork/projects/, saved as dashboard- -YYYY-MM-DD.html. Use when the user asks for a project dashboard, a shareable or pinnable status page, an HTML…
chro-reviewer
Reviews a proposal, business case, deck or plan in character as a Chief Human Resources Officer archetype, then saves a structured review document with a verdict, findings that cite the artifact, people and organisation risks and five interrogation questions. Use when the user asks for a CHRO or HR review, a…
customer-advocate-reviewer
Reviews a proposal, business case, deck or plan in character as a Customer Advocate archetype, then saves a structured review document with a verdict, findings that cite the artifact, customer-side risks and five interrogation questions. Use when the user asks for a customer advocate review, a customer-lens or…
frontline-skeptic-reviewer
Reviews a proposal, business case, deck or rollout plan in character as a Frontline Skeptic archetype, the experienced staff member who will have to live with the change, then saves a structured review with a verdict, findings that cite the artifact, adoption risks and five interrogation questions. Use when the user…