Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agentsnpx agentmods add skills/calle-ai/awesome-phone-call-agents/call-e-bookingWrote 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/call-e-booking)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-e-booking"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-e-booking/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/call-e-booking"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-e-booking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.06234 |
| Opus 5.5 | $0.00014 | $0.02494 |
| Sonnet 5.5 | $0.00007 | $0.01247 |
| Haiku 4.5 | $0.00003 | $0.00623 |
Grade A, and why
call-e-booking 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 11d 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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CALL-E Booking
Book restaurant tables and medical appointments via CALL-E — an AI voice agent that places real phone calls, has live conversations, adapts to unexpected responses, and returns schema-validated structured results you can feed straight into a calendar.
What CALL-E is
CALL-E is a goal-driven AI voice agent, not a rigid script bot. You give it a natural-language goal (e.g. "book a table for 2 at 7pm at the restaurant you reach") + a phone number, and it plans the call, dials, holds a live conversation, and returns a structured result with per-attempt summaries and full transcripts.
This skill wraps the calle-ai Python SDK and orchestrates booking calls: gather parameters → show plan → confirm → dial → poll → result.
Install calle-ai in a Python 3.9+ venv.
Run the following commands from skills/call-e-booking/, using that interpreter:
PY="python3" # or ./venv/bin/python3 if using venv
BOOK="scripts/calle_booking.py"
SLOTS="scripts/calendar_slots.py"
GAPI="<your-calendar-tool>"
Use $PY $BOOK ..., $PY $SLOTS ..., and $PY $GAPI ... everywhere below.
Quick-start (the simplest path: --task)
The most generic entry point is --task — give it a goal + phone number and
CALL-E handles the rest. No --kind, no --name, no templates required:
# Preview
$PY $BOOK plan \
--task "Call the dentist and book a teeth cleaning for Thethela Faltein next Tuesday morning. Budget is $300." \
--phone "+12125551234"
# Execute
$PY $BOOK book --confirm \
--task "Call the dentist and book a teeth cleaning for Thethela Faltein next Tuesday morning. Budget is $300." \
--phone "+12125551234"
The --task flag bypasses all templates. The task text IS the instruction
CALL-E receives. The structured template flags (--kind, --name,
--party-size, --reason, --date, --time) still work when you prefer
structured input, but --task is the simplest path for any booking type.
Quick-start (the agent runs this for you)
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.
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.
- 11d ago First seen · 409 lines · 35 tokens per session scan A 0d64f2c26f64
call-e-booking is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 6,234 once invoked, about $0.0001 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 2026-10-09.
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