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

call-goal-drift-auditor skillA

call-goal-drift-auditor is agent-read markdown (skill) from calle-ai/awesome-phone-call-agents: Offline heuristic CALL-E transcript skill that compares the original call goal against the agent's actual turns to measure on-topic ratio, detect off-topic spans, and determine whether the goal was achieved in the closing — then emits a tighter, bounded goal for the next plan_call. It is not a compliance ruling, a semantic understanding system, 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-goal-drift-auditor

> **An agent told to confirm an appointment that ends up selling whitening
> packages has drifted. Nobody noticed. Until now.**

Every CALL-E call starts with a `goal`. But calls are dynamic: a curious
callee, an ambitious agent script, or a distraction tangent can pull the
conversation far from the stated objective. Without post-call auditing,
nobody knows the goal was never really achieved — or that three agent turns
were spent on topics that were explicitly out of scope.

This skill reads the finished transcript alongside the original goal text,
extracts content keywords, measures per-turn on-topic ratio, detects
off-topic spans, and reports whether the goal appears achieved in the
closing confirmation. It also generates a tighter, bounded goal with
explicit scope-limiting instructions for the next call.

## When To Use

- after any CALL-E call where scope discipline matters
- when a call goal is narrow and violations are measurable
  (appointment confirmation, payment verification, consent capture)
- as part of a QA pipeline to detect systematic agent scope creep
- before replaying a failed or incomplete call with tighter instructions
…

Read the whole file at its exact version.

How to install

Latest version
mdr add calle-ai/awesome-phone-call-agents/call-goal-drift-auditor@git:20260924.f5c99ae
Exact content
mdr add calle-ai/awesome-phone-call-agents/call-goal-drift-auditor@sha256:760762c09d5a8827

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

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Versions

versioncommittedcommitsizeaudit
git:20260924.f5c99ae latest2026-09-24 f5c99ae 5,936 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 (5936 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_arewgkuvvadlxtam
GET https://markdownregistry.com/api/v1/resolve?ref=calle-ai/awesome-phone-call-agents/call-goal-drift-auditor
GET https://markdownregistry.com/api/v1/blob/760762c09d5a882785dcfed58779c48a9ae33f3343e608580af8e732fdd53b10

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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