call-ai-disclosure-comprehension-auditor

call-ai-disclosure-comprehension-auditor is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 77 tokens per session (1,111 once invoked), scanned A, original, MIT.

A post-call transcript checker for whether an AI phone agent said it was an AI, said so before business content, asked whether the person understood, and recorded an acknowledgment.

In plain words
What is it for?
Use it to review outbound calls, assess whether agreement followed a clear disclosure, or prepare an opening that discloses the AI and asks for acknowledgment.
Why use it?
A disclosure appearing somewhere in a transcript may not mean the person heard or acknowledged it before the conversation began. The checker reports these observable steps without certifying legal compliance.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review outbound calls, assess whether agreement followed a clear disclosure, or prepare an opening that discloses the AI and asks for acknowledgment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-ai-disclosure-comprehension-auditor
Clone the repo
git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for call-ai-disclosure-comprehension-auditor

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor)
Your own site
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for call-ai-disclosure-comprehension-auditor

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-ai-disclosure-comprehension-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,111 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.01111
Opus 5.5 $0.00031 $0.00444
Sonnet 5.5 $0.00015 $0.00222
Haiku 4.5 $0.00008 $0.00111

Measured 26d ago against content hash f262866bca1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

call-ai-disclosure-comprehension-auditor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 26d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/disclosure_comprehension_auditor.py, scripts/test_disclosure_comprehension_auditor.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/call-ai-disclosure-comprehension-auditor/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

call-ai-disclosure-comprehension-auditor

Saying "this is an AI" is step one. Knowing it landed is the actual job.

call-review checks that a disclosure exists somewhere in the agent's turns. This skill audits the full sequence the law and the research both point at: disclosure in the first breath, an explicit comprehension question before any pitch, and a captured acknowledgment - and it writes the opening that produces that sequence next time.

When To Use

  • after any CALL-E outbound call, to grade its disclosure posture
  • before acting on a result where the callee's agreement matters - an agreement from someone who never knew an AI was speaking is fragile
  • before placing calls, to craft an Article-50-style disclosure opening

When Not To Use

  • to certify legal compliance for any jurisdiction; the verdicts are transcript observations, and regulators - not scripts - decide compliance
  • to prove the person did not understand; silence after a disclosure is not evidence of confusion, and the card says so
  • during a call; this is strictly post-call analysis plus pre-call goal crafting

Workflow

Audit a finished call

python3 scripts/disclosure_comprehension_auditor.py analyze --transcript path/to/call-result.json

Reads the real get_call_run result shape ({status, result: {transcript}}) or the flat shape used by sibling skill fixtures. Emits a card:

  • disclosure_present / disclosure_early (first agent turn vs later)
  • comprehension_check_present - an explicit question ("do you understand", "is that okay", "does that make sense") in the disclosure turn or the next agent turn, BEFORE business content: if digits (dates, amounts, times) already appear in the disclosure turn, the pitch came first and the check does not count
  • acknowledgment_captured - an affirmative callee reply in the first callee turn after the check
  • evidence: the disclosure / check / acknowledgment turns, masked
  • verdict: FULL / PARTIAL_NO_ACK / DISCLOSED_NO_CHECK / LATE_DISCLOSURE / UNDISCLOSED, plus unclear paths for empty or agent-less transcripts

Read the full file on GitHub · 96 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 26d ago First seen · 96 lines · 77 tokens per session scan A f262866bca1e

Subscribe to this mod's changes

call-ai-disclosure-comprehension-auditor is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 1,111 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.

Related

Other skills, from other repositories

fto-triage

Freedom-to-operate triage — a structured first look at potentially blocking patents, not an FTO opinion. Use when a product, process, or feature is being evaluated for blocking patents, when asked whether anything stops a launch, or to build a claim-chart first pass against the most plausible patents before patent…

anthropics/claude-for-legal · 81 tokens

legal-hold

Issue, refresh, release, or report on legal holds — drafts the hold notice as .docx, updates legalhold fields in log.yaml, and calendars the next refresh. Use when the user says "issue a hold", "refresh hold", "release hold", or asks for a portfolio-wide hold status report.

anthropics/claude-for-legal · 68 tokens

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens