Home / calle-ai / awesome-phone-call-agents · skills/call-repair-sequence-auditor/SKILL.md · GitHub

call-repair-sequence-auditor skillA

call-repair-sequence-auditor is agent-read markdown (skill) from calle-ai/awesome-phone-call-agents: Offline experimental CALL-E transcript helper that detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies how the agent handled each repair, and crafts chunked redial goals. It does not measure comprehension conclusively, calibrate a per-minute rate, or authorize 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-repair-sequence-auditor

> **"Sorry, what?" is data. An agent that plows past it manufactures a failed call.**

Conversation analysis calls it *other-initiated repair*: the moments one
speaker signals trouble in hearing or understanding. Human conversation
runs about one repair every 1.4 minutes across languages. A phone agent
that ignores a repair does not save time - it ends the call with a person
who never understood the ask, which is exactly how a "confirmed" outcome
turns out wrong later.

## When To Use

- after any CALL-E call where the callee asked to repeat, slow down, or
  confirm which value was meant
- to decide whether a follow-up call should use a chunked, slower goal
- to generate that goal for `plan_call` directly
- to profile which agent wording keeps causing the trouble (digit-dense,
  long sentences, long words)

## When Not To Use

- to detect sentiment or frustration; use `call-summarizer` or
  `call-semantic-barge-in-analyzer` for pacing and cooperation
- to repair an ambiguous email thread; that is `conversation-clarify`,
  which decides whether to call - this skill audits what happened in a
  call already made
…

Read the whole file at its exact version.

How to install

Latest version
mdr add calle-ai/awesome-phone-call-agents/call-repair-sequence-auditor@git:20260923.5d12b25
Exact content
mdr add calle-ai/awesome-phone-call-agents/call-repair-sequence-auditor@sha256:5b04a1e12ff743fd

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:20260923.5d12b25 latest2026-09-23 5d12b25 5,232 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 (5232 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_be4fjz4hxhxhd5eu
GET https://markdownregistry.com/api/v1/resolve?ref=calle-ai/awesome-phone-call-agents/call-repair-sequence-auditor
GET https://markdownregistry.com/api/v1/blob/5b04a1e12ff743fda6377cef2c88572bdc5b0988ee1c66efdb8494cf62a454df

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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