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 clinic-front-desk-confirmgit 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/clinic-front-desk-confirm)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/clinic-front-desk-confirm"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/clinic-front-desk-confirm/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/clinic-front-desk-confirm"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/clinic-front-desk-confirm.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 | $0.00044 | $0.00844 |
| Opus 5.5 | $0.00018 | $0.00338 |
| Sonnet 5.5 | $0.00009 | $0.00169 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
clinic-front-desk-confirm 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 1mo 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinic Front Desk Confirm
Use this skill when a clinic or practice front desk has explicit authority to place one disclosed phone call to confirm an existing booking. The call asks whether the patient can keep the slot, captures kept / cancelled / move request / no answer, and returns structured JSON for a human to apply.
This skill does not book, move, or cancel calendar events. A human reviews the result before any diary change.
Runnable product demo: MNLABSUK/appointment-confirm (FastAPI call desk, practice mode default).
When To Use
- Confirm a booked hygiene, GP, physio, or vet slot the recipient already knows about
- Capture a cancel or a requested move to a window the desk can honour
- Produce an evidence-backed disposition for reception staff
- Demo CALL-E appointment confirmation with a no-network practice path
When Not To Use
- First-contact sales, lead qualification, or unsolicited marketing
- Medical advice, diagnostics, emergency, collections, or political calls
- Calling a number the operator did not provide and authorize
- Hidden retries, recurring reminders, or automatic calendar writes
- Collecting payment, ID numbers, or health details beyond appointment logistics
Required Inputs
who: patient / guest display namewhen: human-readable or ISO appointment timewhere: clinic / practice display name (disclosed on the call)purpose: reason for visit (for example hygiene, follow-up)phone: E.164 destination the operator owns or has consent to callmode:dry-run(default) orlive- Optional
scenariofor practice mode:confirmed|declined|reschedule_requested|no_answer
Preflight
- Confirm the operator authorized this one confirmation call.
- Confirm the phone is E.164 and came from the booking workflow.
- Default to practice / dry-run. Refuse live mode without
CALLE_API_KEYand explicit operator intent. - Preview the opening script before any live CALL-E plan.
What ships with it
2 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.
- 1mo ago First seen · 102 lines · 44 tokens per session scan A d2cf2763227b
clinic-front-desk-confirm is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 844 once invoked, about $0.0002 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 2026-09-15.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…