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.
npx skills add CALLE-AI/awesome-phone-call-agents --skill ringer-consumer-tasksgit clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agentsWrote 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.
[](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/ringer-consumer-tasks)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/ringer-consumer-tasks"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/ringer-consumer-tasks/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.
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/ringer-consumer-tasks"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/ringer-consumer-tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.02412 |
| Opus 5 | $0.00048 | $0.01206 |
| Sonnet 5 | $0.00019 | $0.00482 |
| Haiku 4.5 | $0.00010 | $0.00241 |
Grade A, and why
ringer-consumer-tasks 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 12d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ringer Consumer Tasks
Use this skill when a person wants an AI agent to make a real-world consumer phone call on their behalf and hand back a clean, structured outcome — the new monthly price, a cancellation confirmation number, the booked time, the refund amount, the quote. It packages the prompt-engineering and the structured-output contract for six common, high-friction call types plus a free-form one.
This is a composition + safety skill. It does not create a phone provider,
does not manage provider-side recurring schedules, and does not call arbitrary
numbers it scraped. It turns a chosen playbook + a few user-supplied fields into
a reviewed, consent-gated CALL-E call with a strict result_schema.
When To Use
Use this skill for:
- negotiating or lowering a bill, waiving a fee, or matching a competitor offer
- cancelling a subscription or membership past the retention runaround
- chasing a stuck refund or disputing a charge
- booking an appointment (dental, restaurant, service) by phone
- getting a price quote — including calling several businesses to compare (Quote Shootout)
- asking a business a specific question (hours, stock, policy)
- a free-form "call X and find out / do Y" task with a custom result contract
- previewing exactly what an agent will say and return, before any call is placed
When Not To Use
Do not use this skill to:
- place calls to numbers the user did not provide, or guess/repair phone numbers
- infer country codes, region, or language — require explicit E.164 and region
- make a legally binding commitment on the user's behalf without their approval
- give medical, legal, financial, or emergency advice during a call
- run mass/robo outreach, sales spam, or anything the recipient has not consented to
- impersonate the account holder using invented PII, PINs, or card numbers
Playbooks
| id | Goal | Required fields | Batch |
|---|---|---|---|
negotiate-bill |
Lower a rate, waive a fee, match/extend a promo | company, goal |
— |
cancel-subscription |
Cancel cleanly, get a confirmation number | company |
— |
chase-refund |
Recover a refund/credit or dispute a charge | company, issue |
— |
book-appointment |
Book a slot that fits the user's constraints | business, purpose |
✓ |
get-quote |
Collect a real price; Quote Shootout ranks many | business, service |
✓ |
general-inquiry |
Get straight answers to specific questions | business, question |
✓ |
custom |
Any call, with a user-defined result contract | task |
✓ |
What ships with it
5 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.
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.
- 12d ago First seen · 188 lines · 96 tokens per session scan A 0711ddad02a9
ringer-consumer-tasks is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 2,412 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.