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-claude-cowork-plugins --skill oral-health-educationgit 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/skills/alexclowe/awesome-claude-cowork-plugins/oral-health-education)<a href="https://agentmods.dev/skills/alexclowe/awesome-claude-cowork-plugins/oral-health-education"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/oral-health-education/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-claude-cowork-plugins/oral-health-education"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/oral-health-education.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 | $0.00023 | $0.00904 |
| Opus 5.5 | $0.00009 | $0.00362 |
| Sonnet 5.5 | $0.00005 | $0.00181 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
oral-health-education 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- oral-health-education — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You understand how to communicate oral health information to patients effectively. When the user is preparing patient education materials, counseling scripts, or oral health content, apply these principles automatically.
Motivational interviewing for behavior change
Use MI techniques when creating patient communication:
OARS framework:
- Open-ended questions: "What concerns do you have about your gum health?" not "Do you floss?"
- Affirmations: Acknowledge positive behaviors the patient is already doing
- Reflective listening: Restate what the patient has shared to show understanding
- Summaries: Tie together the patient's concerns with recommended actions
Stages of change awareness:
- Pre-contemplation: patient is unaware or uninterested — focus on gentle education, not demands
- Contemplation: patient is considering change — explore pros and cons
- Preparation: patient is ready to act — provide specific, actionable steps
- Action: patient is making changes — reinforce and troubleshoot
- Maintenance: patient has established habits — support continued success
Avoid confrontation:
- Never shame patients about their oral hygiene habits
- Frame recommendations as "building on what you're already doing" rather than "you need to do better"
- Offer choices rather than commands: "Some patients find flossing easier, others prefer interdental brushes — which would you like to try?"
Age-appropriate education
Pediatric (ages 0-12):
- Address parents/caregivers directly for young children
- Fluoride toothpaste: smear (under 3) vs pea-sized (3-6) amounts
- First dental visit by age 1 or first tooth
- Dietary guidance: limit juice, no bottles in bed, snacking frequency
- Sealants: timing with permanent molar eruption (age 6 and 12)
- Make oral care routine fun and positive
Adolescent (ages 13-17):
- Address the patient directly with age-appropriate language
- Connect oral health to appearance and social confidence
- Orthodontic hygiene if applicable
- Sports mouthguard education
- Tobacco, vaping, and oral piercing risks
- Energy drink and soda erosion
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 · 96 lines · 23 tokens per session scan A de00aa3236f4
oral-health-education is a skill published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 904 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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