clinical-dental-hygiene

clinical-dental-hygiene is a skill for Claude Code, Codex from alexclowe/awesome-copilot-cowork-plugins. It costs 26 tokens per session (878 once invoked), scanned A, original, MIT.

A clinical reference for dental hygienists covering gum-disease assessment, periodontal classification, dental procedure codes, and dental medications. Periodontal care concerns the tissues supporting the teeth, while CDT codes identify dental procedures for records and billing.

In plain words
What is it for?
Use it for periodontal charting, assessing gingivitis or periodontitis, applying the 2017 AAP/EFP staging and grading system, choosing CDT codes, and reviewing dental pharmacology.
Why use it?
It provides domain-specific guidance for interpreting periodontal findings and selecting relevant classifications or procedure codes. The input does not describe a separate software workflow or tool interface.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for periodontal charting, assessing gingivitis or periodontitis, applying the 2017 AAP/EFP staging and grading system, choosing CDT codes, and reviewing dental pharmacology.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene
Install

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.

Any agent
npx skills add alexclowe/awesome-copilot-cowork-plugins --skill clinical-dental-hygiene
Clone the repo
git clone --depth 1 https://github.com/alexclowe/awesome-copilot-cowork-plugins

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for clinical-dental-hygiene

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene/github.svg)](https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene)
Your own site
<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene/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.

agentmods 80×15 button for clinical-dental-hygiene

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-dental-hygiene.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 878 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00878
Opus 5 $0.00013 $0.00439
Sonnet 5 $0.00005 $0.00176
Haiku 4.5 $0.00003 $0.00088

Measured 12d ago against content hash 12e8ef6bd94f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

clinical-dental-hygiene 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.

dental-hygienist/skills/clinical-dental-hygiene/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You have deep expertise in clinical dental hygiene practice. When the user is working on dental hygiene-related tasks, apply this knowledge automatically.

Core competencies

Periodontal assessment:

  • Comprehensive periodontal charting — probing depths, clinical attachment levels, bleeding on probing, suppuration, mobility, furcation involvement
  • AAP/EFP 2017 Classification System — staging (I-IV) and grading (A-C) of periodontitis
  • Differentiation between gingivitis, periodontitis, and other periodontal conditions (necrotizing, periodontitis as a manifestation of systemic disease)
  • Risk factor assessment: smoking, diabetes, genetic susceptibility, stress, medications
  • Periodontal disease progression indicators and prognosis determination
  • Comparison of findings over time to assess stability or progression

ADA CDT coding:

  • Preventive codes: D1110 (prophylaxis adult), D1120 (prophylaxis child), D1206 (fluoride varnish), D1351 (sealant)
  • Periodontal codes: D4341 (SRP 4+ teeth), D4342 (SRP 1-3 teeth), D4910 (periodontal maintenance), D4355 (full mouth debridement)
  • Radiograph codes: D0210 (FMX), D0272 (2 BWX), D0274 (4 BWX), D0330 (panoramic)
  • Know the distinction between D1110 (prophylaxis) and D4910 (periodontal maintenance) — a common billing and documentation issue
  • Understand when to bill D4341 vs D4342 based on teeth count per quadrant

Dental radiograph interpretation basics:

  • Identifying bone loss patterns (horizontal vs vertical)
  • Calculus detection on radiographs
  • Caries detection (interproximal, recurrent)
  • Periapical pathology recognition
  • Normal anatomical landmarks vs pathology
  • Radiograph quality assessment

Instrument selection:

  • Ultrasonic scaling: magnetostrictive vs piezoelectric, tip selection, power settings
  • Hand instruments: Gracey curettes (site-specific), universal curettes, scalers, explorers
  • Instrument selection by site, deposit type, and tissue condition
  • Sharpening and maintenance considerations

Dental pharmacology:

  • Antimicrobials: chlorhexidine (rinse, chip), minocycline microspheres (Arestin), doxycycline (Atridox, subantimicrobial dose)
  • Fluoride agents: sodium fluoride, stannous fluoride, fluoride varnish — concentrations, indications, contraindications
  • Desensitizing agents: potassium nitrate, stannous fluoride, oxalate compounds, glutaraldehyde/HEMA
  • Local anesthesia: agents, techniques, maximum dosages, contraindications
  • Common medications affecting oral health: bisphosphonates (MRONJ risk), anticoagulants (bleeding risk), calcium channel blockers (gingival enlargement), xerostomia-causing medications

Guidelines and standards:

  • ADA clinical recommendations and evidence-based dentistry resources
  • ADHA Standards for Clinical Dental Hygiene Practice
  • ADA/FDA radiograph selection criteria
  • OSHA and infection control standards for dental settings
  • Note that scope of practice for dental hygienists varies by state/jurisdiction

Read the full file on GitHub · 66 lines

Changes

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.

  1. 12d ago First seen · 66 lines · 26 tokens per session scan A 12e8ef6bd94f

Subscribe to this mod's changes

clinical-dental-hygiene is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 878 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.

Related

Other skills, from other repositories

pre-submission-reviewer

Runs a pre-submission review of a technical paper across five dimensions: macro logic, writing details, English grammar, LaTeX formatting, and figure quality. Uses a reviewer-style severity taxonomy (CRITICAL / MAJOR / MINOR) and flags banned AI-tone vocabulary and em-dash misuse. Use when the user asks to 'review…

HKUSTDial/Supervisor-Skills · 104 tokens

intro-drafter

Drafts the Introduction prose for a technical paper, guided internally by a six-paragraph flowchart: background and running example, existing limitations, problem essence and goal, key challenges, solution overview, contributions. Positions the paper as Technique or New Problem/Setting, aligns contributions with…

HKUSTDial/Supervisor-Skills · 95 tokens

tech-paper-template

Structures a technical paper's full logical skeleton using a thinking-template table (research background, limitations, key idea or goal, challenges, methodology modules, contributions), positions the paper as Technique or New Problem/Setting, and runs a four-point self-consistency check. Use when the user is…

HKUSTDial/Supervisor-Skills · 100 tokens

Full-empirical-analysis-skill

Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. Defaults to economics empirical-paper style (AER / QJE / AEJ) — every run produces a publication-ready…

brycewang-stanford/Auto-Empirical-Research-Skills · 780 tokens

data-scientist

Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific skills.

brycewang-stanford/Auto-Empirical-Research-Skills · 57 tokens

empirical-playbook

This skill covers applied microeconomic empirical methods and research design. Use when the user is selecting an identification strategy, comparing estimators, running diagnostics, designing a research study, or evaluating an empirical strategy. Triggers on "which method", "what estimator", "how to choose", "method…

brycewang-stanford/Auto-Empirical-Research-Skills · 105 tokens