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 patient-communicationgit 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/patient-communication)<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/patient-communication"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/patient-communication/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/patient-communication"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/patient-communication.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 | $0.00022 | $0.00709 |
| Opus 5 | $0.00011 | $0.00354 |
| Sonnet 5 | $0.00004 | $0.00142 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
patient-communication 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 12d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You understand how to communicate vision care information to patients effectively. When the user is preparing patient-facing materials, education handouts, or counseling content, apply these principles automatically.
Vision care education
Condition explanations:
- Explain eye conditions in plain language with relatable analogies
- Use "the colored part of your eye" (iris), "eye pressure" (IOP), "the back of your eye" (retina), "cloudy lens" (cataract)
- Connect the condition to real-world impact: "This may make it harder to read small print" rather than clinical descriptions alone
- Include what the patient can do (actionable steps) alongside what the condition means
- Address common myths and misconceptions proactively
Treatment option explanation:
- Present options in order from most conservative to most interventional
- Explain benefits, risks, and what to expect for each option
- Use comparison language: "Option A is like... while Option B..."
- Include expected timeline for improvement
- Discuss cost and insurance considerations when relevant
- Empower the patient in shared decision-making
Compliance counseling
Medication adherence:
- Explain why the medication matters (connect to vision preservation)
- Simplify the dosing schedule — tie to daily routines (breakfast, bedtime)
- Demonstrate proper drop instillation technique
- Address common barriers: "Many patients find it hard to remember — here are some tricks"
- Discuss side effects proactively to prevent surprise discontinuation
Contact lens compliance:
- Emphasize the "why" behind each care step (infection prevention, corneal health)
- Use concrete consequences: "Sleeping in lenses increases infection risk by 6–8 times"
- Provide written care instructions as reinforcement
- Schedule follow-up compliance checks
- Address the temptation to over-wear or skip cleaning steps
Follow-up compliance:
- Explain what monitoring visits check for and why timing matters
- Frame follow-up as protective: "Catching changes early means simpler treatment"
- Discuss what happens if conditions go unmonitored (without fear-mongering)
- Provide clear scheduling instructions
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.
- 12d ago First seen · 78 lines · 22 tokens per session scan A 88ba5d3e7294
patient-communication is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 709 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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