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 5.5 | $0.00038 | $0.00965 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (112 stars, last pushed 4d ago), licensed MIT. It adds 96 tokens to every session and 2,412 once invoked, about $0.0004 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 2026-08-30.
ringer-consumer-tasks compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ringer-consumer-tasksCALLE-AI/awesome-phone-call-agents | Skill | 112 | 4d ago | MIT | A | 96 | Claude Code, Codex |
| orbit-notionnexu-io/open-design | Skill | 107k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 112k | today | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | 3d ago | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | yesterday | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 12d ago | MIT | A | 52 | Claude Code, Codex |