Home / calle-ai / awesome-phone-call-agents · skills/call-agent-commitment-tracker/SKILL.md · GitHub

call-agent-commitment-tracker skillA

call-agent-commitment-tracker is agent-read markdown (skill) from calle-ai/awesome-phone-call-agents: Offline heuristic CALL-E phone call transcript skill that extracts and classifies agent Commissive Speech Acts — promises, follow-up pledges, and delegation statements — into WITH_DEADLINE, WITHOUT_DEADLINE, and CONDITIONAL buckets, then emits a verification follow-up call goal. It is not proof a commitment was broken, a legal analysis, or authorization to act automatically..

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-agent-commitment-tracker

> **An agent that says "I'll send that right away" and doesn't — is worse
> than one that said nothing.**

When an automated agent makes a call, it often commits to future actions:
sending a confirmation email, having a specialist call back, filing a
referral. Those commitments are audible, remembered by the person, and
completely untracked unless this skill reads the transcript.

This is the post-call layer: it reads the finished `get_call_run` transcript,
extracts every agent commitment, classifies it by urgency, and hands you a
ready-to-use follow-up call goal to verify fulfillment.

## When To Use

- after any CALL-E call where the agent may have made forward-looking promises
- as part of a quality-assurance pipeline to prevent "ghost commitments"
- before a follow-up call to understand what the previous call committed to
- in collection, healthcare, or support workflows where broken commitments
  carry legal or reputational risk

## When Not To Use

- to audit the *callee's* promises (this skill only tracks agent turns)
- during a call; strictly post-call analysis plus pre-call goal crafting
…

Read the whole file at its exact version.

How to install

Latest version
mdr add calle-ai/awesome-phone-call-agents/call-agent-commitment-tracker@git:20260924.f54b100
Exact content
mdr add calle-ai/awesome-phone-call-agents/call-agent-commitment-tracker@sha256:b353d84005194c84

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

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Versions

versioncommittedcommitsizeaudit
git:20260924.f54b100 latest2026-09-24 f54b100 5,646 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 (5646 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_ykpo53u5wfycjwm5
GET https://markdownregistry.com/api/v1/resolve?ref=calle-ai/awesome-phone-call-agents/call-agent-commitment-tracker
GET https://markdownregistry.com/api/v1/blob/b353d84005194c848d020a79e8716cf11832dad28e2d389275a23e491a635c44

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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