What is metapelet-elder-checkin?

A consent-based wellbeing call for an older adult, using a friendly non-medical conversation and returning a structured summary.

Making one check-in call in English, Russian, or Hebrew and recording mood, topics discussed, and interest in another call.

It gives families or caregivers information about a person's mood and conversation topics between human visits without presenting the call as medical care.

metapelet-elder-checkin — Skill for Claude Code and Codex by CALLE-AI

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 metapelet-elder-checkin

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/metapelet-elder-checkin/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/metapelet-elder-checkin)

Your own site

<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/metapelet-elder-checkin"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/metapelet-elder-checkin/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/metapelet-elder-checkin"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/metapelet-elder-checkin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 532 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00056	$0.00532
Opus 5.5	$0.00022	$0.00213
Sonnet 5.5	$0.00011	$0.00106
Haiku 4.5	$0.00006	$0.00053

Measured 2mo ago against content hash cf65bffc2393, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

metapelet-elder-checkin 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/preview_task.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/metapelet-elder-checkin/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MetaPelet Elder Check-in

Use this skill when a caregiver or family member (with recipient consent) wants one friendly phone call to reduce loneliness between human visits — not a medical reminder and not a replacement for human care.

MetaPelet is an existing voice companion product; this skill packages its conversation rules for CALL-E outbound calls and a structured post-call summary.

When to use

One outbound wellbeing check-in to a phone the elder already uses (landline or mobile).
Conversation in Russian, Hebrew, or English (set in the request).
Return structured results: mood, topics discussed, whether they want another call soon.

When not to use

Medical reminders, triage, emergency response, or mental-health treatment.
Unsolicited outreach or lead generation.
Recurring schedules without a separate scheduler wrapper and explicit consent.

Workflow

Read references/safety.md and confirm recipient consent.
Fill a request JSON with E.164 phone, explicit CALL-E region and locale (see apps/python/metapelet-checkin/example_request.json).
Preview (no call): run the Python app without --execute.
Live call: set CALLE_API_KEY, pass --execute --confirm-recipient-opt-in.
Share the redacted structured result with the authorized caregiver only.

Persona and profile

Core persona: references/persona.en.txt (MetaPelet companion snapshot, English repository text).
Optional demo profile shape: references/profile-demo.en.txt.
Structured output schema: references/result-schema.json.

Runnable app

The reference runner lives at apps/python/metapelet-checkin/ (relative to this submission repository root). It builds the CALL-E task text from the persona files and calls the CALL-E Python SDK when explicitly executed.

Output

After a completed call, expect JSON fields:

mood — short mood summary
topics — array of main topics
wants_repeat_call — yes | no | unknown

Read the full file on GitHub · 52 lines

Files

What ships with it

6 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.

2mo ago First seen · 52 lines · 56 tokens per session scan A cf65bffc2393

Subscribe to this mod's changes

metapelet-elder-checkin is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (112 stars, last pushed 4d ago), licensed MIT. It adds 56 tokens to every session and 532 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 2026-08-30.

metapelet-elder-checkin next to 6 skills from other repositories
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