Home / calle-ai / awesome-phone-call-agents · skills/call-cross-call-consistency-checker/SKILL.md · GitHub

call-cross-call-consistency-checker skillA

call-cross-call-consistency-checker is agent-read markdown (skill) from calle-ai/awesome-phone-call-agents: Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED, or ONLY_STATED, plus a consistency-guarded goal template. It is not proof either call lied, a record of truth, or authorization for another call..

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-cross-call-consistency-checker

> **Call someone twice and say two different things, and you were never
> really trusted the first time.**

Every other skill in this repository analyzes one call. This one analyzes
the space BETWEEN two calls to the same person: did the organization tell
them the same price, the same date, the same time it told them before?
Contradictions across calls are how campaigns lose people - each new call
quietly rewrites reality, and the person on the line is the only one who
notices.

## When To Use

- when a destination has received two or more calls and any result from
  the latest one will be written somewhere
- before drafting the NEXT call to a person whose earlier call had
  disputed or confusing values
- to generate a consistency-guarded goal for the follow-up plan_call

## When Not To Use

- to decide which call's value is true; the record (or a human with it)
  decides - this skill only routes to verification
- on calls to different destinations; comparing unrelated people's facts
  is meaningless
- as a memory system; it compares two transcripts you hand it, it stores
  nothing
…

Read the whole file at its exact version.

How to install

Latest version
mdr add calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker@git:20260923.60e8a14
Exact content
mdr add calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker@sha256:b57b88c0e5c43c91

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:20260923.60e8a14 latest2026-09-23 60e8a14 4,840 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 (4840 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_hlmos2ada4btbmsx
GET https://markdownregistry.com/api/v1/resolve?ref=calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker
GET https://markdownregistry.com/api/v1/blob/b57b88c0e5c43c91b3fe7441ea7c8db36b2c147833451d17af0c2d6c7b675994

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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