medicaid-exemption-screener

medicaid-exemption-screener is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 114 tokens per session (1,645 once invoked), scanned B, original, MIT.

A consent-based phone-campaign workflow for screening Medicaid enrollees for exemptions or compliance with a future work requirement. Medicaid is a US public health-insurance programme, and the workflow creates calls and a human review list from the results.

In plain words
What is it for?
It helps organise outreach by deadlines and paperwork risk, ask language-appropriate exemption questions, classify answers conservatively, and send unresolved cases to human staff.
Why use it?
It helps identify people who may already qualify for an exemption or have met the rule, reducing unnecessary calls and preventing uncertain cases from being marked as cleared automatically.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps organise outreach by deadlines and paperwork risk, ask language-appropriate exemption questions, classify answers conservatively, and send unresolved cases to human staff.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener
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 medicaid-exemption-screener
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.

agentmods badge for medicaid-exemption-screener

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener)
Your own site
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener/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.

agentmods 80×15 button for medicaid-exemption-screener

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/medicaid-exemption-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,645 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.01645
Opus 5.5 $0.00046 $0.00658
Sonnet 5.5 $0.00023 $0.00329
Haiku 4.5 $0.00011 $0.00164

Measured 1mo ago against content hash efccec9864d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

medicaid-exemption-screener scanned grade B with 1 finding 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.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

many could not be reached and need a letter. Never tell the user that someone "is exempt."
skills/medicaid-exemption-screener/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Medicaid Exemption Screener

Use this skill when someone needs to reach a list of benefits enrollees before a deadline and find out which of them are already exempt or already compliant - not to remind them that paperwork is due, but to ask the questions that decide it.

It wraps the apps/typescript/still-covered engine in this repository: ex parte clearing, wave planning by deadline and paperwork risk, one CALL-E call task per person, fail-closed classification, and a human worklist. An agent can drive a whole campaign without reimplementing any of it.

The problem this solves

From 1 January 2027, most adults aged 19-64 on Medicaid must show 80 hours a month of qualifying activity, or about $580 a month in earnings, to keep coverage (P.L. 119-21 section 71119; CMS interim final rule CMS-2454-IFC). Nine categories are exempt.

The evidence is unambiguous about what goes wrong. Arkansas ran a work requirement in 2018: more than 18,000 people lost coverage in seven months with no significant change in employment, because the people who lost coverage were overwhelmingly already working or already exempt and simply never completed the reporting (Sommers et al., NEJM 2019). In the 2023-24 unwinding, 69% of disenrollments were procedural.

So the job is not "remind them." The job is ask them, in a language they speak, and put a reviewable packet in front of a caseworker for everyone whose answers suggest they qualify.

When To Use

  • A state agency, health plan, or community organisation has a consented enrollee list with coverage check dates approaching, and wants to know who is exempt or compliant before the deadline.
  • The user asks to "screen," "check who qualifies," "find who is exempt," or "reach people before they lose coverage."
  • A prior campaign was interrupted and must be resumed without double-dialling anyone.
  • The user wants to rehearse the calls, hear the script, or show a stakeholder what the calls sound like without spending credits - run the dry-run path, which needs no key and places no call.

Read the full file on GitHub · 115 lines

Files

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.

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.

  1. 1mo ago First seen · 115 lines · 114 tokens per session scan B efccec9864d9

Subscribe to this mod's changes

medicaid-exemption-screener is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 114 tokens to every session and 1,645 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-17.

Related

Other skills, from other repositories

vendor-review

Evaluate a vendor — cost analysis, risk assessment, and recommendation. Use when reviewing a new vendor proposal, deciding whether to renew or replace a contract, comparing two vendors side-by-side, or building a TCO breakdown and negotiation points before procurement sign-off.

anthropics/knowledge-work-plugins · 54 tokens

integration-management

Post-closing M&A integration tracker — phased workplan, consent tracking, contract assignment at scale, weekly status reports. Initializes from whatever deal artifacts are available (purchase agreement, deal summary, closing checklist) and connects to deal-context.md and closing-checklist.yaml from the M&A cold-start.…

anthropics/claude-for-legal · 100 tokens

entity-compliance

Entity compliance tracker — initialize, report upcoming deadlines, update status, run health audit, export to CSV. Maintains a compliance-tracker.yaml built from the entity table, calculates filing deadlines by entity and jurisdiction, and surfaces what's due in the next 30/60/90 days. Use when user says "entity…

anthropics/claude-for-legal · 98 tokens

portfolio

Track the IP portfolio — registrations, renewals, maintenance fees, and use declarations. Use when checking what's renewing, adding or updating an asset, recording a maintenance filing, or auditing the register for gaps, lapses, and use-in-commerce questions. Receives handoffs from prosecution and clearance work.

anthropics/claude-for-legal · 62 tokens

launch-review

Full launch review against your framework and risk calibration. Use when the user says "review this launch", "legal review for [feature]", "can we ship this", "what are the legal issues with [product]", or references a launch tracker ticket or PRD that needs a category-by-category review memo.

anthropics/claude-for-legal · 64 tokens

gap-surfacer

Reference: shared gap- and comment-tracker framework backing /regulatory-legal:gaps and /regulatory-legal:comments. Tracks open policy gaps with remediation status, ingests gaps from policy-diff, surfaces what's open and aging, routes to owners, and notifies gap owners via Slack with per-send confirmation. Loaded by…

anthropics/claude-for-legal · 82 tokens