calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor
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Offline experimental CALL-E transcript heuristics for repetition, confusion phrases and conversational proxies, with advisory scores and script suggestions for human review; not a cognitive assessment or consent determination.
Install
npx vskill@latest install calle-ai/awesome-phone-call-agents/call-cognitive-load-monitorSKILL.md
call-cognitive-load-monitor
Detect when your caller is overwhelmed — before it costs you the call.
This skill analyzes supplied text for heuristic confusion markers and conversational proxies. It does not measure acoustics, administer a cognitive assessment, or establish consent validity. Reports and suggested script changes require human review; no live integration, message sending or follow-up call is performed.
Why This Skill Exists
Most call-centre quality tools measure whether the agent performed well. This skill measures whether the caller was able to process what was said. When cognitive load peaks — especially at closing, where consent and commitment are given — the validity of that interaction is at risk.
Advisory scope: A CONSENT_AT_RISK label is a suggestion for human review, not a regulatory finding or authorization for a follow-up call. No label establishes that consent is valid or invalid.
Research Scope
The weights and thresholds are unvalidated demonstration choices, not a reproduction of a published acoustic model. Background and claim limitations: `references/research-papers.md`.
Quick Start
Validate output schema
Input
Standard CALL-E transcript — same two formats as other skills:
Format A — array of turns:
Output — Overload Report
Cognitive Load Signals
Linguistic Markers
| Signal Type | Example | Weight | |
|---|---|---|---|
repetition_request | "Could you repeat that?" / "Say that again?" | 0.30 | |
confusion_phrase | "I don't understand" / "I'm lost" / "What does that mean?" | 0.25 | |
self_correction | "Wait, I mean... actually..." | 0.15 | |
clarification_request | "So what you're saying is...?" | 0.20 | |
jargon_density_spike | Technical / legal terminology per 50-word window | 0.18 | |
hedge_word_cluster | "I think", "maybe", "I'm not sure" (3+ in one turn) | 0.12 |
Interaction Dynamic Markers
| Signal Type | Threshold | Significance | |
|---|---|---|---|
turn_imbalance | Agent:Callee ratio > 3:1 | Agent dominating — callee cannot process | |
long_silence_gap | > 2 500 ms | Callee processing delay — indicates high extraneous load | |
participation_drop | Callee turns drop ≥ 40% in closing phase | Cognitive withdrawal |
Load Levels
| Load Score | Level | Recommended Action | |
|---|---|---|---|
| < 0.35 | LOW | PROCEED | |
| 0.35–0.64 | MEDIUM | FLAG_FOR_REVIEW | |
| 0.65–0.84 | HIGH | SEND_WRITTEN_CONFIRMATION | |
| ≥ 0.85 | CRITICAL | REPEAT_CALL_WITH_SIMPLER_SCRIPT |
Consent Validity Flags
| Flag | Trigger | Meaning | |
|---|---|---|---|
CONSENT_VALID | Load < 0.65 during closing | Caller was processing normally when consenting | |
CONSENT_AT_RISK | Load ≥ 0.65 during closing | Caller may have consented under cognitive strain | |
CONSENT_UNKNOWN | Closing phase not identifiable | Transcript structure too short to assess |
[!CAUTION]CONSENT_AT_RISKdoes not mean consent is invalid. It flags the call for human review and recommends sending written confirmation. Never use this flag as a standalone legal determination.
Command-Line Reference
Integration with CALL-E
Insert as a post-call QA step in any pipeline where consent or commitment is recorded:
Combine with client-persona-profiler: Analytical (C) and Steady (S) callers have lower jargon tolerance — flag their calls at a lower threshold.
Privacy & Safety
- Reports contain copied transcript evidence and script-patch text and may contain private data. Keep real-input reports local and access-controlled; use synthetic inputs for examples and tests. Do not publish reports without review.
- The separate
validate_load_report.pycheck is not automatically run before writing and is not a complete PII redactor or privacy guarantee. - The consent-validity flag is advisory only. A human must review before any regulatory or legal action.
Full safety reference: `references/safety.md`
Expected Outcomes & Metrics
The following numbers are unvalidated design targets, not measured results.
| Metric | Expected Target | Notes | |
|---|---|---|---|
| Latency | < 50ms per transcript | Evaluates locally without LLM dependencies. | |
| TPR (True Positive Rate) | > 85% | Identifies cognitive strain in human-annotated datasets. | |
| FPR (False Positive Rate) | < 10% | Some benign clarification requests may be flagged. |
Limitations & Known Constraints
- Text-Only Modality: Cannot detect sighs, actual silence duration, or exasperated tone. Silence and load fields are text-based proxies, not acoustic measurements.
- Prototype options:
--thresholdis currently accepted but unused; reported levels use built-in constants. Short transcripts and aCONSENT_VALIDlabel do not prove that a closing phase or consent occurred. - ASR Dependency: If the ASR mistranscribes "I'm lost" as "I boss", the signal is missed.
- Language Bias: Heuristics are currently calibrated exclusively for English.
Files
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/call-cognitive-load-monitor/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
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