Longitudinal Cognitive Decline Tracker
SkillAI & modelsCalculates pause-length trends over time from synthetic call records for offline research review.
Use Longitudinal Cognitive Decline Tracker in Claude, ChatGPT or Ahel Desktop
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Offline experimental reference that calculates pause-duration trends from synthetic call metadata for human review; not a cognitive assessment or diagnosis.
What this skill tells your AI
The instructions your AI receives, as published by calle-ai/awesome-phone-call-agents in skills/longitudinal-cognitive-decline-tracker/SKILL.md and read by Ahel’s review.
The longitudinal-cognitive-decline-tracker skill illustrates a simple trend calculation on supplied synthetic call metadata. It neither records calls nor extracts acoustic features. Its pause-duration threshold is a demonstration choice, not a validated marker of cognitive impairment. Do not use its output to diagnose, triage, or automatically change anyone's care.
Prototype Scope
This implementation has no clinical validation. See research scope for the limits of its research and privacy claims.
How it works
The skill receives a history of synthetic call metadata and sorts it by timestamp.
- It extracts the
avg_pause_ms(average pause length in milliseconds) for each call. - It calculates a linear regression slope against session index, not elapsed time.
- If the slope exceeds 50ms per session,
clinical_review_recommendedis set to true as an advisory demonstration flag. This legacy field name does not establish a clinical finding.
Expected Outcomes & Metrics
| Metric | Target | Notes |
|---|---|---|
| Degradation Sensitivity | Not established | No clinical dataset evaluation is supplied; the prototype does not measure statistical significance. |
Limitations & Known Constraints
- Data Dependency: Requires a minimum of 3 historical data points to establish a trend.
- Environmental Factors: Does not account for temporary conditions (e.g., fatigue, medication effects) that might cause an isolated spike in pause lengths.
- Not a Diagnosis: Use only synthetic no-call examples. A pause trend does not establish cognitive decline or rule it out.
Signals
- GitHub stars
- 104
- Forks
- 528
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
longitudinal-cognitive-decline-tracker- Source
- github.com/calle-ai/awesome-phone-call-agents
github.com/calle-ai/awesome-phone-call-agents
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