ledger-collections-call

ledger-collections-call is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 48 tokens per session (1,491 once invoked), scanned A, original, MIT.

A controlled phone call for discussing one overdue balance with an authorized contact and recording any payment promise. The result is display-only: it does not itself collect money, post an accounting entry, or book a payment.

In plain words
What is it for?
Use it to preview and place one disclosed collections call from structured overdue-balance data, then send the stated promise to a human for review. It is not a consumer debt-collection system or a payment processor.
Why use it?
It gives a human a structured outcome while avoiding automatic retries and unsupported payment handling. It also blocks regions the workflow does not support and keeps payment decisions outside the call.

Skill for Claude CodeCodex

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

Good fit Use it to preview and place one disclosed collections call from structured overdue-balance data, then send the stated promise to a human for review. It is not a consumer debt-collection system or a payment processor.

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Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/ledger-collections-call
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 ledger-collections-call
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 ledger-collections-call

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/ledger-collections-call/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/ledger-collections-call)
Your own site
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/ledger-collections-call"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/ledger-collections-call/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 ledger-collections-call

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/ledger-collections-call"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/ledger-collections-call.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,491 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 $0.00048 $0.01491
Opus 5 $0.00024 $0.00745
Sonnet 5 $0.00010 $0.00298
Haiku 4.5 $0.00005 $0.00149

Measured today against content hash 594008b8f408, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ledger-collections-call 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 today.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/preview.py, scripts/test_preview.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/ledger-collections-call/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ledger Collections Call

Use this skill when a merchant (or an agent acting for one) has explicit authority to place one disclosed phone call about an overdue balance, and needs a structured promise back.

The directory name does not mean a money write. A CALL-E promised result is display-only. Payment stays a later human confirm (or another tool). Read references/overlap.md before treating this as a collections product: it is not kept.

This skill does not book a payment, post a ledger row, or run a campaign. A human reviews the result before any cash movement.

When To Use

  • One overdue contact the operator already authorized, with E.164, integer amountMinor, currency, locale, and region in JSON
  • Preview the CALL-E task and recipient result schema without credentials
  • Refuse Yemen and other unsupported regions before POST /v1/calls
  • Hand a structured promise to a human, a display-only card, or kept capture — not to a cashier

When Not To Use

  • Consumer FDCPA / statutory debt-collection engines
  • Collecting cards, CVV, bank passwords, or OTPs (PCI)
  • Automatic retry when the outcome is unknown, timeout, voicemail, or no_answer
  • Writing a ledger, invoice, or kept financial record from the structured result
  • CSV campaigns, call budgets, bank-feed reconcile (that is kept)
  • First-contact sales, scraped lists, or numbers the user did not authorize
  • Hidden schedulers, webhooks, or create_and_wait on the HTTP request
  • Inferring region from a leading +1

Required Inputs

JSON object:

Field Type Notes
contactId UUID string Stable local id; used in the idempotency material
displayName string Spoken name
phoneE164 string E.164, authorized
amountMinor integer Outstanding balance, smallest currency unit. No floats
currency string ISO code, e.g. USD
locale en or ar Task language. Documented in English; do not embed other scripts in this folder
region ISO 3166-1 alpha-2 Stated by the operator. Not inferred from the number
doNotCall boolean If true, refuse

Read the full file on GitHub · 123 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 123 lines · 48 tokens per session scan A 594008b8f408

Subscribe to this mod's changes

ledger-collections-call is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,491 once invoked, about $0.0002 per session on Opus 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 2026-09-12.

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