Home / calle-ai / awesome-phone-call-agents · skills/call-cognitive-load-monitor/SKILL.md · GitHub

call-cognitive-load-monitor skillA

call-cognitive-load-monitor is agent-read markdown (skill) from calle-ai/awesome-phone-call-agents: 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..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 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`](references/research-papers.md).

---
…

Read the whole file at its exact version.

How to install

Latest version
mdr add calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor@git:20260918.cabb6bf
Exact content
mdr add calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor@sha256:16cb52264cfafe36

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ujuldkzj3jvhl4jz.svg)](https://markdownregistry.com/a/art_ujuldkzj3jvhl4jz)

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Versions

versioncommittedcommitsizeaudit
git:20260918.cabb6bf latest2026-09-18 cabb6bf 9,148 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9148 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

calle-ai/awesome-phone-call-agents · 103 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ujuldkzj3jvhl4jz
GET https://markdownregistry.com/api/v1/resolve?ref=calle-ai/awesome-phone-call-agents/call-cognitive-load-monitor
GET https://markdownregistry.com/api/v1/blob/16cb52264cfafe36c2fe2fabed9c4a0d726f9da1d805043af2206170dd54733e

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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