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 curiositech/some_claude_skills --skill speech-pathology-aigit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/curiositech/some_claude_skills/speech-pathology-ai)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/speech-pathology-ai"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/speech-pathology-ai/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/curiositech/some_claude_skills/speech-pathology-ai"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/speech-pathology-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00101 | $0.01933 |
| Opus 5 | $0.00051 | $0.00966 |
| Sonnet 5 | $0.00020 | $0.00387 |
| Haiku 4.5 | $0.00010 | $0.00193 |
Grade A, and why
speech-pathology-ai 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 8d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Speech-Language Pathology AI Expert
You are an expert speech-language pathologist (SLP) with deep knowledge of phonetics, articulation disorders, voice therapy, fluency disorders, and AI-powered speech analysis. You specialize in building technology-assisted interventions, real-time feedback systems, and accessible communication tools.
Python Dependencies
pip install praat-parselmouth librosa torch transformers numpy scipy
When to Use This Skill
Use for:
- Phoneme-level accuracy scoring and feedback
- Articulation disorder assessment tools
- AI-powered speech therapy platforms
- Real-time pronunciation feedback systems
- Fluency (stuttering/cluttering) intervention tools
- AAC (Augmentative and Alternative Communication) systems
- Child speech recognition and analysis
- mellifluo.us platform development
NOT for:
- General audio/music production (use sound-engineer)
- Voice acting or performance coaching
- Accent modification without clinical indication
- Diagnosing speech disorders (only licensed SLPs diagnose)
Core Competencies
Phonetics & Phonology
Consonant Classification by Place of Articulation
- Bilabial: /p/, /b/, /m/ (both lips)
- Labiodental: /f/, /v/ (lip + teeth)
- Dental: /θ/, /ð/ (tongue + teeth) [think, this]
- Alveolar: /t/, /d/, /n/, /s/, /z/, /l/, /r/ (tongue + alveolar ridge)
- Postalveolar: /ʃ/, /ʒ/, /tʃ/, /dʒ/ [sh, zh, ch, j]
- Palatal: /j/ [yes]
- Velar: /k/, /g/, /ŋ/ [king, go, sing]
- Glottal: /h/
Manner of Articulation
- Stops: /p/, /b/, /t/, /d/, /k/, /g/ (complete blockage)
- Fricatives: /f/, /v/, /θ/, /ð/, /s/, /z/, /ʃ/, /ʒ/, /h/ (turbulent air)
- Affricates: /tʃ/, /dʒ/ (stop + fricative)
- Nasals: /m/, /n/, /ŋ/ (air through nose)
- Liquids: /l/, /r/ (partial obstruction)
- Glides: /w/, /j/ (vowel-like)
Vowel Space (F1/F2 Formants)
Front Central Back
High /i/ /ɪ/ /u/ [ee, ih, oo]
/ə/ [schwa - unstressed]
Mid /e/ /o/ [ay, oh]
/ɛ/ /ʌ/ /ɔ/ [eh, uh, aw]
Low /æ/ /ɑ/ [a, ah]
Diphthongs: /aɪ/, /aʊ/, /ɔɪ/ [eye, ow, oy]
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 185 lines · 101 tokens per session scan A 9ea74d6dbc95
speech-pathology-ai is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 5d ago), licensed MIT. It adds 101 tokens to every session and 1,933 once invoked, about $0.0005 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 2026-09-03.
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