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Agent skill

Call Total Cost Disclosure Auditor

by CALLE-AI in CALLE-AI/awesome-phone-call-agents

Offline experimental CALL-E transcript helper that detects the commitment question, locates the callee's consent, and grades whether the total price, recurring terms, and fees or restrictions were…

MITAuto-check passed

Install Call Total Cost Disclosure Auditor

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-total-cost-disclosure-auditor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents call-total-cost-disclosure-auditor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/call-total-cost-disclosure-auditor .claude/skills/call-total-cost-disclosure-auditor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
call-total-cost-disclosure-auditor
GitHub stars
107
Token cost
~1.6k tokens
SKILL.md length
741 words
Files
9 (incl. scripts, references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Offline experimental CALL-E transcript helper that detects the commitment question, locates the callee's consent, and grades whether the total price, recurring terms, and fees or restrictions were…

  • Works in 3 steps: 16 CFR section 310.3(a)(1)(i), FTC… → Trade Regulation Rule on Unfair or… → Mahoney, Neale - "Why Regulate Junk…
  • SKILL.md covers When To Use, What It Checks, Research Grounding and Limitations, plus 1 more section
  • Runs Python scripts from its folder; calls python3

What it does

Call Total Cost Disclosure Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that detects the commitment question, locates the callee's consent, and grades whether the total price, recurring terms, and fees or restrictions were disclosed before that consent, flagging drip-pricing reveals that surface only after it, plus a transparent-offer goal template. It is not price verification, a legal ruling, or authorization to act.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/example-transcript-drip.json`, `references/example-transcript-partial.json` and `references/example-transcript.json`).

The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.

Example prompts

  • “/call-total-cost-disclosure-auditor”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 16 CFR section 310.3(a)(1)(i), FTC Telemarketing Sales Rule - before a
  2. Trade Regulation Rule on Unfair or Deceptive Fees ("Junk Fees Rule"),
  3. Mahoney, Neale - "Why Regulate Junk Fees?" - Journal of Economic

What it can do on your machine

Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • ecfr.gov
    • federalregister.gov

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Call Total Cost Disclosure Auditor loads about 1.6k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 741 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 741 words, ~1,550 tokens.

Download SKILL.mdSave it as .claude/skills/call-total-cost-disclosure-auditor/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
call-total-cost-disclosure-auditor
description
Offline experimental CALL-E transcript helper that detects the commitment question, locates the callee's consent, and grades whether the total price, recurring terms, and fees or restrictions were disclosed before that consent, flagging drip-pricing reveals that surface only after it, plus a transparent-offer goal template. It is not price verification, a legal ruling, or authorization to act.
license
MIT

call-total-cost-disclosure-auditor

The price belongs before the question. Anything revealed after "yes" is a fee the person never agreed to.

The FTC Telemarketing Sales Rule requires that, before a customer consents to pay, the seller truthfully disclose the total cost to purchase, receive, or use the goods or services. On agent-driven calls that timing is easy to break: the agent asks for the booking first, and the deposit, the monthly renewal, or the handling fee surfaces only after the callee has already said yes. This skill finds the commitment elicitation, finds the consent, and grades what the callee had been told before that moment.

The economic harm it targets is drip pricing: partitioned prices make consumers underestimate the full cost at the decision point, because the surcharges arrive after the mental commitment is already made. A call that reveals a "small handling fee" one turn after "Yes, go ahead" is exactly that pattern in transcript form - legal-sounding, auditable, and fixable by front-loading the offer block.

When To Use

  • after any CALL-E call that ends in a booking, order, purchase, or subscription commitment
  • when reviewing whether the callee could have known the full price before saying yes
  • before placing calls, to craft a transparent-offer goal that states the full price before a single commitment question

What It Checks

VerdictMeaning
FULL_DISCLOSURE_BEFORE_CONSENTA total amount was stated pre-consent, and every required element (recurring terms, fees/restrictions) that appears in the call was also disclosed pre-consent
PARTIAL_DISCLOSUREA total was stated, but a required element (recurring terms or fees/restrictions) appears in the call yet was not disclosed before consent
COMMITMENT_WITHOUT_AMOUNTThe agent elicited a monetary commitment with no total amount stated beforehand
DRIP_PRICING_DETECTEDAfter consent, the agent revealed a fee that had never been mentioned pre-consent, or a new amount absent from the pre-consent text
NO_MONETARY_COMMITMENTNo commitment elicitation detected in any agent turn

Disclosure elements:

  • total_amount - a digits-and-"dollars" amount lexicon ($45, 45 dollars, total comes to 45) anywhere in the pre-consent agent text
  • recurring - per month, monthly, subscription, renews, etc.; required if the term appears anywhere in the call, covered if it appears pre-consent
  • fees_restrictions - fees, deposits, taxes, cancellation windows, expiry, minimums - or an explicit negation ("no additional fees", "fully refundable", "free cancellation")

Consent rule: the first callee turn after the elicitation whose FIRST sentence is an assent ("sure", "yes, go ahead", "okay, book it") - decided by the first sentence only, with a leading-negation guard ("No, but go ahead if you must" and "Hmm, sure" are not consent). If the callee never consents, the card still grades what was disclosed before the offer itself.

Drip pricing requires a consent point: a fee first mentioned only after consent, or a post-consent amount whose normalized digits were absent pre-consent ($45. and $45 are the same amount). A recurring term surfacing only after consent is not drip - it makes recurring required-but-uncovered and yields PARTIAL_DISCLOSURE.

Show full SKILL.md (264 more words)Show less

Research Grounding

  1. 16 CFR section 310.3(a)(1)(i), FTC Telemarketing Sales Rule - before a customer consents to pay, the seller must truthfully disclose "the total costs to purchase, receive, or use, and the quantity of" the goods or services - https://www.ecfr.gov/current/title-16/chapter-I/subchapter-C/part-310
  2. Trade Regulation Rule on Unfair or Deceptive Fees ("Junk Fees Rule"), 16 CFR Part 464 - Federal Register 2025-01-10 (doc 2024-30293), effective 2025-05-12 - https://www.federalregister.gov/documents/2025/01/10/2024-30293/trade-regulation-rule-on-unfair-or-deceptive-fees
  3. Mahoney, Neale - "Why Regulate Junk Fees?" - Journal of Economic Perspectives 39(4):203-220, Fall 2025 - doi:10.1257/jep.20241409

Limitations

  • Presence-and-timing audit, not price verification: a stated total can be wrong or incomplete and still count as covered.
  • Amounts lexicon is digits-and-"dollars" only: no number words ("a hundred twenty"), no non-USD currencies in v1.
  • Multi-item calls may interleave disclosures; the skill does not bind amounts to the specific item the callee consented to.
  • Consent and elicitation lexicons are lexical and English-only; uncontracted forms are covered ("let us get you signed up", "I will go ahead and book"), but paraphrases outside the lexicon are not.
  • _norm_amount strips separators when comparing amounts, so "$45.50" and "4550 dollars" normalize identically; decimal-vs-separator collisions are an accepted ambiguity of the drip comparison.
  • When no consent point is found, the call falls back to pre-elicitation grading and drip detection does not run; a drip-shaped call can card as COMMITMENT_WITHOUT_AMOUNT rather than DRIP_PRICING_DETECTED.
  • ANY new amount after consent triggers drip detection, including legitimate new line items or later offers in the same call.
  • counts.amounts_pre_consent counts regex mentions, not distinct amounts; a repeated "$45" spoken twice before consent counts as 2.
  • Findings route to human review; this is not a legal ruling.

Usage

bash
python3 skills/call-total-cost-disclosure-auditor/scripts/total_cost_disclosure_auditor.py analyze \
  --transcript path/to/call-result.json
python3 skills/call-total-cost-disclosure-auditor/scripts/total_cost_disclosure_auditor.py craft \
  --scenario transparent-offer

© CALLE-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references) in skills/call-total-cost-disclosure-auditor of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/example-goal.txt
  • references/example-transcript-drip.json
  • references/example-transcript-partial.json
  • references/example-transcript.json
  • references/examples.md
  • references/safety.md
  • scripts/test_total_cost_disclosure_auditor.py
  • scripts/total_cost_disclosure_auditor.py

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Call Total Cost Disclosure Auditor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Questions about Call Total Cost Disclosure Auditor

What does Call Total Cost Disclosure Auditor do?

Offline experimental CALL-E transcript helper that detects the commitment question, locates the callee's consent, and grades whether the total price, recurring terms, and fees or restrictions were…. Call Total Cost Disclosure Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that detects the commitment question, locates the callee's consent, and grades whether the total price, recurring terms, and fees or restrictions were disclosed before that consent, flagging drip-pricing reveals that surface only after it, plus a transparent-offer goal template.

How do I install Call Total Cost Disclosure Auditor in Claude Code?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-total-cost-disclosure-auditor -a claude-code`. Or copy the skill folder (skills/call-total-cost-disclosure-auditor in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-total-cost-disclosure-auditor in your project. Claude Code loads it when a task matches its description.

How do I install Call Total Cost Disclosure Auditor in Codex?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-total-cost-disclosure-auditor -a codex`. Or copy the skill folder (skills/call-total-cost-disclosure-auditor in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-total-cost-disclosure-auditor in your project. Codex loads it when a task matches its description.

Can I use Call Total Cost Disclosure Auditor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-total-cost-disclosure-auditor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-total-cost-disclosure-auditor, .gemini/skills/call-total-cost-disclosure-auditor, .github/skills/call-total-cost-disclosure-auditor and .opencode/skills/call-total-cost-disclosure-auditor in your project.

What does Call Total Cost Disclosure Auditor need to run?

Going by SKILL.md and its folder, Call Total Cost Disclosure Auditor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Call Total Cost Disclosure Auditor access the network?

SKILL.md names 2 domains. As links in the text: ecfr.gov and federalregister.gov. This is read from the text; nothing was executed.

Is Call Total Cost Disclosure Auditor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Call Total Cost Disclosure Auditor use?

Call Total Cost Disclosure Auditor is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Call Total Cost Disclosure Auditor use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Call Total Cost Disclosure Auditor?

Skills that share tags, products or a category with Call Total Cost Disclosure Auditor: Baoyu Youtube Transcript (JimLiu/baoyu-skills, 27k stars), Youtube Transcript (browser-act/skills, 6.1k stars), Youtube Transcript (sickn33/agentic-awesome-skills, 47k stars) and Transcription (0xsline/OpenChatCut, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Call Total Cost Disclosure Auditor?

CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.

Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.