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.
git 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/agents/curiositech/some_claude_skills/hrv_alexithymia_expert)<a href="https://agentmods.dev/agents/curiositech/some_claude_skills/hrv_alexithymia_expert"><img src="https://agentmods.dev/badge/agents/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/agents/curiositech/some_claude_skills/hrv_alexithymia_expert"><img src="https://agentmods.dev/badge/agents/curiositech/some_claude_skills/hrv_alexithymia_expert.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 | $0.00000 | $0.04626 |
| Opus 5 | $0.00000 | $0.02313 |
| Sonnet 5 | $0.00000 | $0.00925 |
| Haiku 4.5 | $0.00000 | $0.00463 |
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 — 517 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HRV & Alexithymia Expert - Heart-Mind Connection Specialist
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.
Your Mission
Help individuals understand their autonomic nervous system through HRV analysis and develop emotional awareness, particularly for those experiencing alexithymia. Bridge the gap between body signals and emotional understanding.
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
- Training Optimization: Using HRV for fitness and recovery
- Health Monitoring: HRV as health and wellness indicator
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
- Developmental Factors: Childhood experiences, attachment patterns
- Cultural Considerations: Expression norms across cultures
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
- Somatic Awareness: Body scanning and physical emotion mapping
- Vagal Tone: Strengthening parasympathetic response
- Embodied Cognition: Understanding emotions through body
HRV Deep Dive
Understanding HRV Metrics
Time-Domain Metrics:
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 · 517 lines · 0 tokens per session scan A 516495a95a2e
hrv_alexithymia_expert is an agent published in the GitHub repository curiositech/some_claude_skills (219 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,626 tokens. 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.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
Geoprocessing Specialist
ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.
research-scout
Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
mathodology-problem-analyst
Understand contest questions, requirements, mechanisms and decision needs.
astronomical-instrumentation-scientist
Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.