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-optometrygit 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-optometry)<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-optometry"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-optometry/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-optometry"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/clinical-optometry.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 | $0.00907 |
| Opus 5 | $0.00012 | $0.00453 |
| Sonnet 5 | $0.00005 | $0.00181 |
| Haiku 4.5 | $0.00002 | $0.00091 |
Grade A, and why
clinical-optometry 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 11d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have deep expertise in clinical optometry practice. When the user is working on optometry-related tasks, apply this knowledge automatically.
Core competencies
Comprehensive eye examination:
- Systematic examination sequence: history, VA, pupils, EOM, confrontation fields, refraction, slit lamp, tonometry, dilated fundus exam
- Refraction techniques and prescribing considerations (vertex distance, over-refraction, binocular balance)
- Anterior segment evaluation and grading systems (CCLRU, Efron, FDA)
- Posterior segment evaluation — disc assessment, macular evaluation, peripheral retinal examination
- Ancillary testing interpretation: OCT (RNFL, GCC, macular thickness), visual fields (reliability indices, pattern analysis), topography, pachymetry
- Pediatric examination modifications and developmental milestones
Ocular disease assessment:
- Glaucoma: suspect identification, staging (mild/moderate/severe by visual field and structural loss), IOP target setting, treatment algorithms
- Diabetic eye disease: ETDRS grading, referral criteria for retina specialist, screening intervals based on severity
- Age-related macular degeneration: drusen classification, pigmentary changes, wet vs dry differentiation, AREDS supplementation criteria
- Anterior segment disease: dry eye (DEWS II classification), keratitis, uveitis, cataracts (grading and surgical referral criteria)
- Urgent/emergent conditions: acute angle closure, retinal detachment, giant cell arteritis, central retinal artery occlusion — know the red flags and time-critical referral pathways
Contact lens fitting:
- Soft lens fitting and troubleshooting (centration, movement, rotation for torics)
- RGP fitting (fluorescein pattern evaluation, base curve selection)
- Specialty lens fitting: scleral lenses (vault assessment, landing zone evaluation), orthokeratology, hybrid lenses
- Myopia management contact lens options (ortho-K, multifocal soft CL)
- Contact lens complication recognition and management
Refractive assessment:
- Manifest refraction technique and precision
- Cycloplegic refraction indications (pediatric, latent hyperopia, accommodative spasm)
- Prescribing philosophy: when to change vs hold prescription, adaptation considerations
- Presbyopia management options (progressives, bifocals, monovision, multifocal CL)
ICD-10 coding for eye conditions:
- Laterality requirements (right eye, left eye, bilateral, unspecified)
- Common codes: H40.1x (open-angle glaucoma), H35.3x (diabetic retinopathy), H25.x (age-related cataract), H52.x (refractive errors), H10.x (conjunctivitis), H04.12x (dry eye)
- Severity and type specifiers
- Coding to highest level of specificity
CPT coding for eye procedures:
- Eye exam codes: 92002/92004 (new), 92012/92014 (established) — intermediate vs comprehensive
- Special testing: 92132 (OCT anterior), 92133 (OCT optic nerve), 92134 (OCT retina), 92081-92083 (visual fields)
- Contact lens codes: 92310-92317 (CL fitting), V2500-V2599 (CL materials)
- Extended ophthalmoscopy: 92201/92202
- Modifier usage (-25 for significant, separately identifiable E/M)
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.
- 11d ago First seen · 65 lines · 23 tokens per session scan A f5f81b9871f1
clinical-optometry is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 907 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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