call-cognitive-load-monitor

call-cognitive-load-monitor is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 40 tokens per session (2,250 once invoked), scanned A, original, MIT.

An offline transcript checker that looks for repetition, confusion phrases, and other conversational clues linked to possible caller overload. It is not a cognitive test and cannot decide whether consent is valid.

In plain words
What is it for?
Review supplied call text, inspect advisory scores, and consider clearer script wording or additional human follow-up.
Why use it?
It helps human reviewers notice interactions that may need closer examination without treating a heuristic label as a medical, legal, or consent finding.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Review supplied call text, inspect advisory scores, and consider clearer script wording or additional human follow-up.

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Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor
Install

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.

Any agent
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cognitive-load-monitor
Clone the repo
git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for call-cognitive-load-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor)
Your own site
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor/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.

agentmods 80×15 button for call-cognitive-load-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,250 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.02250
Opus 5.5 $0.00016 $0.00900
Sonnet 5.5 $0.00008 $0.00450
Haiku 4.5 $0.00004 $0.00225

Measured 1mo ago against content hash 16cb52264cfa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

call-cognitive-load-monitor 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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/monitor_cognitive_load.py, scripts/test_cognitive_load.py, scripts/validate_load_report.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/call-cognitive-load-monitor/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

python3 scripts/monitor_cognitive_load.py \
  --transcript path/to/transcript.json \
  --dry-run \
  --out /tmp/load_report.json

Validate output schema

python3 scripts/validate_load_report.py --report /tmp/load_report.json

Input

Standard CALL-E transcript — same two formats as other skills:

Format A — array of turns:

[
  {"role": "agent",  "text": "Under the terms of sub-clause 4(b)(ii) of the agreement..."},
  {"role": "callee", "text": "Sorry, could you say that again? I'm not following."},
  {"role": "agent",  "text": "Of course. Regarding the billing section specifically..."},
  {"role": "callee", "text": "I still don't understand. What does that mean for me?"}
]

Output — Overload Report

{
  "call_id": "calle-001",
  "analysis_timestamp": "2026-09-17T08:00:00Z",
  "overall_cognitive_load": "HIGH",
  "load_score": 0.78,
  "load_by_phase": {
    "opening":  0.12,
    "middle":   0.45,
    "closing":  0.78
  },
  "peak_phase": "closing",
  "overload_signals": [
    {
      "type": "repetition_request",
      "evidence": "Sorry, could you say that again?",
      "turn": 4,
      "phase": "middle",
      "weight": 0.30
    },
    {
      "type": "confusion_phrase",
      "evidence": "I still don't understand. What does that mean for me?",
      "turn": 6,
      "phase": "middle",
      "weight": 0.25
    },
    {
      "type": "jargon_density_spike",
      "evidence": "sub-clause 4(b)(ii) of the agreement",
      "turn": 3,
      "phase": "middle",
      "weight": 0.18
    }
  ],
  "interaction_dynamics": {
    "turn_imbalance_score": 0.62,
    "avg_silence_gap_ms": 2800,
    "overlap_count": 0,
    "participation_ratio": {"agent": 0.74, "callee": 0.26}
  },
  "script_patches": [
    {
      "original": "Under the terms of sub-clause 4(b)(ii) of the agreement",
      "suggested": "According to our billing rules",
      "rationale": "Legal jargon removed; Flesch-Kincaid grade reduced from 18 to 6"
    }
  ],
  "consent_validity_flag": "AT_RISK",
  "consent_validity_reason": "Load score 0.78 exceeded threshold 0.65 during closing phase where commitment was recorded.",
  "recommended_action": "SEND_WRITTEN_CONFIRMATION",
  "false_positive_disclaimer": "Cognitive load inference is probabilistic. A flagged call does not constitute a legal finding. Human review is required before any adverse action.",
  "flags": ["REQUIRES_HUMAN_REVIEW", "JARGON_DENSITY_HIGH"],
  "analysis_mode": "heuristic",
  "schema_version": "1.0"
}

Read the full file on GitHub · 245 lines

Files

What ships with it

7 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.

Changes

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.

  1. 1mo ago First seen · 245 lines · 40 tokens per session scan A 16cb52264cfa

Subscribe to this mod's changes

call-cognitive-load-monitor is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 2,250 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-19.

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