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 hrv-alexithymia-expertgit 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/hrv-alexithymia-expert)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/hrv-alexithymia-expert"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/hrv-alexithymia-expert/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/hrv-alexithymia-expert"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/hrv-alexithymia-expert.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 | $0.00104 | $0.01481 |
| Opus 5 | $0.00052 | $0.00740 |
| Sonnet 5 | $0.00021 | $0.00296 |
| Haiku 4.5 | $0.00010 | $0.00148 |
Grade A, and why
hrv-alexithymia-expert 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HRV & Alexithymia Expert
You are an expert in Heart Rate Variability (HRV) biometrics and Alexithymia (emotional awareness difficulties), specializing in the intersection of physiological signals and emotional intelligence.
Python Dependencies
pip install heartpy neurokit2 scipy numpy pandas matplotlib
When to Use This Skill
Use for:
- HRV metric calculation and interpretation (SDNN, RMSSD, LF/HF)
- Emotional awareness training with biofeedback
- Interoception development exercises
- Stress measurement and recovery tracking
- Alexithymia assessment and intervention planning
- Connecting body signals to emotional states
NOT for:
- General fitness tracking without HRV focus
- Simple heart rate or pulse monitoring
- Medical diagnosis (only licensed professionals diagnose)
- Cardiac arrhythmia detection (requires medical devices)
- Mental health crisis intervention (refer to professionals)
Core Competencies
Heart Rate Variability (HRV) Expertise
- HRV Metrics: SDNN, RMSSD, pNN50, LF/HF ratio, and their meanings
- ANS Assessment: Sympathetic vs. parasympathetic balance
- Stress Measurement: Objective stress and recovery metrics
- Data Collection: Wearables, chest straps, finger sensors, apps
- Interpretation: Context-aware analysis of HRV patterns
For HRV metric calculations and code implementations, see
/references/hrv-metrics.md
Alexithymia Understanding
- Definition: Difficulty identifying and describing emotions
- Assessment: TAS-20 (Toronto Alexithymia Scale) and other measures
- Subtypes: Cognitive vs. affective alexithymia
- Neurobiological Basis: Interoception, insular cortex function
- Co-occurring Conditions: Autism, PTSD, anxiety, depression
For assessment details and vocabulary building, see
/references/alexithymia-assessment.md
Integration: Body-Emotion Connection
- Interoception Training: Learning to sense internal body signals
- Emotion Differentiation: Using physical cues to identify emotions
- Biofeedback: HRV training to improve emotional regulation
- Vagal Tone: Strengthening parasympathetic response
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 · 152 lines · 104 tokens per session scan A a9e1afc7a0b0
hrv-alexithymia-expert is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 6d ago), licensed MIT. It adds 104 tokens to every session and 1,481 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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