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Agent skill

Trunkline Payer Call

by CALLE-AI in CALLE-AI/awesome-phone-call-agents

Call a health plan's provider-services line about a claim with CALL-E, disclosing only the minimum patient identifiers that workflow needs, and return a schema-checked answer whose every field is…

MITAuto-check passedProductivity & Automation

Install Trunkline Payer Call

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill trunkline-payer-call -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents trunkline-payer-call --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trunkline-payer-call .claude/skills/trunkline-payer-call && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trunkline-payer-call
GitHub stars
107
Token cost
~1.5k tokens
SKILL.md length
817 words
Files
9 (incl. scripts, references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Call a health plan's provider-services line about a claim with CALL-E, disclosing only the minimum patient identifiers that workflow needs, and return a schema-checked answer whose every field is…

  • Works in 2 steps: Minimum necessary. Each workflow… → No answer without evidence. Every field…
  • Prior authorization status
  • SKILL.md covers When to use, When not to use, Workflow and Preview and check, with no…, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Trunkline Payer Call is an agent skill from CALLE-AI/awesome-phone-call-agents. Call a health plan's provider-services line about a claim with CALL-E, disclosing only the minimum patient identifiers that workflow needs, and return a schema-checked answer whose every field is backed by a quote from the call transcript. Use for claim status, denial reason, prior authorization status, and eligibility.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/example_request.json`, `references/example_result.json` and `references/example_result_ungrounded.json`).

It sits in Productivity & Automation, covering Meeting notes and agendas and Authorization and RBAC. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.

When your agent uses it

  • Prior authorization status
  • Tasks that involve Meeting notes and agendas
  • Tasks that involve Authorization and RBAC

Example prompts

  • “/trunkline-payer-call”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Minimum necessary. Each workflow declares the only patient identifiers it may disclose. Eligibility gets a member id and a date of birth…
  2. No answer without evidence. Every field comes back with the representative's own words. If that quote is not in the transcript, the field…

What it can do on your machine

Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trunkline Payer Call loads about 1.5k tokens when it runs, and up to ~8.9k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 817 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 817 words, ~1,502 tokens.

Download SKILL.mdSave it as .claude/skills/trunkline-payer-call/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
trunkline-payer-call
description
Call a health plan's provider-services line about a claim with CALL-E, disclosing only the minimum patient identifiers that workflow needs, and return a schema-checked answer whose every field is backed by a quote from the call transcript. Use for claim status, denial reason, prior authorization status, and eligibility.
license
MIT

Trunkline payer call

A medical practice's billing office spends its day on hold with health plans asking four questions: what happened to this claim, why was it denied, where is this authorization, and is this patient covered. This skill compiles one of those questions into a CALL-E call task and checks the answer that comes back.

Two rules make it different from a general "call and ask" skill, and both are enforced before and after the call rather than requested in the prompt:

  1. Minimum necessary. Each workflow declares the only patient identifiers it may disclose. Eligibility gets a member id and a date of birth. It does not get a name, because it does not need one.
  2. No answer without evidence. Every field comes back with the representative's own words. If that quote is not in the transcript, the field becomes unknown and a person looks at it.

When to use

Use this skill when a provider's billing office needs an administrative answer from a payer about a claim it has already submitted, and the answer is only available by phone.

When not to use

Do not use this skill to call a patient, to file or withdraw an appeal, to agree to any amount or adjustment, to discuss clinical care, or to place a live call without explicit approval and a written authorization for that destination. Trunkline gathers and structures; people decide.

Workflow

  1. Choose the workflow. One of claim_status, denial_reason, prior_auth_status, eligibility. Read references/schemas.md for the closed result schema each one returns.
  2. Assemble the request. Practice NPI, payer name and E.164 number, and one entry per claim: claim number, date of service, and a patient object holding that patient's identifiers.
  3. Build the plan and read it. Run the preview below. It applies the disclosure envelope, drops every field the workflow may not disclose, and prints the exact task text and schema. It places no call.
  4. Confirm intent. Show the operator the masked destination, the claims, and which identifier field names will be disclosed. Get explicit approval before dialling.
  5. Place the call with run_call, or POST /v1/calls with the printed task and result_schema and an Idempotency-Key.
  6. Check the answer with the check command. It validates the result against the schema locally and confirms every evidence_quote appears in the transcript. Anything it cannot confirm is reset to unknown.
  7. Scrub before storing. Remove the patient identifiers from the transcript before it is written anywhere. Do not store a raw payer transcript.

Read references/safety.md before any live call. Read references/payer-playbook.md for phone-menu, hold, and transfer handling. Read references/examples.md for a worked request, task, and checked result.

Preview and check, with no call placed

bash
python3 scripts/build_call_plan.py preview --request references/example_request.json
python3 scripts/build_call_plan.py check --request references/example_request.json --result references/example_result.json

preview prints the task text, the closed result schema, and the field names it disclosed. calls_placed is always 0 on this path. check reports each claim as grounded or reset.

Show full SKILL.md (338 more words)Show less

Disclosure envelopes

WorkflowMay disclose
claim_statusmember id, date of birth, patient last name
denial_reasonmember id, date of birth, patient last name
prior_auth_statusmember id, date of birth, patient last name
eligibilitymember id, date of birth

Never disclosed by any workflow: Social Security numbers or fragments, medical record numbers, home addresses, patient phone numbers, patient email. If a representative will not proceed without one, record what the billing office must supply and end the call.

What the agent may never do on the call

  • Open by stating it is an AI assistant calling for the provider's billing office, and say so again whenever asked.
  • State that the call may be recorded before asking anything.
  • Never file, withdraw, or escalate an appeal, reconsideration, grievance, or peer-to-peer review.
  • Never accept, waive, negotiate, or dispute any amount, adjustment, refund, offset, or recoupment.
  • Never agree to a corrected claim, a resubmission, or any change to a claim.
  • Never give a Social Security number, full address, medical record number, card, or password.
  • Never discuss diagnosis, treatment, or clinical care.
  • Never guess. A value not clearly stated is unknown.
  • Always ask for a call reference number and the representative's first name before ending.

Safety

  • Phone calls are real-world side effects. Require explicit user intent before any live call.
  • Call published payer provider-services lines only. This skill never calls patients.
  • Use E.164 numbers only, and mask them in every summary: +12*******42.
  • Do not expose credentials. The CALL-E key belongs in the environment and goes only to the official API origin.
  • Do not create hidden recurring schedules or duplicate jobs for the same claim. Send an Idempotency-Key and do not re-run a call whose result you have not yet read.
  • Cancel by withholding approval or deleting the authorization for that payer. This skill never places a call on its own.
  • Stay inside claim administration. Refuse medical, legal, financial, and emergency content.

A full runnable implementation, with bundling, hold accounting, a review console, a hash-chained audit log, and 102 offline tests, is at apps/python/trunkline.

© CALLE-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references) in skills/trunkline-payer-call of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/example_request.json
  • references/example_result.json
  • references/example_result_ungrounded.json
  • references/examples.md
  • references/payer-playbook.md
  • references/safety.md
  • references/schemas.md
  • scripts/build_call_plan.py

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Trunkline Payer Call next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Trunkline Payer Call compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trunkline Payer Call this skillCALLE-AI/awesome-phone-call-agents107—~1.5kAutomated safety check: PassMIT
Meeting Notesoutline/outline41k—~551Automated safety check: PassCustom licence
Management Talkthananon/9arm-skills3.2k—~3.2kAutomated safety check: PassNone
Challenge Baseline ModelAgibotTech/genie_sim1.4k—~2.4kAutomated safety check: PassCustom licence
Handwriting Stand Uplimin112/min-skill454—~2.5kAutomated safety check: PassNone
Daily Journalravila4/claude-adhd-skills158—~2.5kAutomated safety check: PassMIT

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Categories

Questions about Trunkline Payer Call

What does Trunkline Payer Call do?

Call a health plan's provider-services line about a claim with CALL-E, disclosing only the minimum patient identifiers that workflow needs, and return a schema-checked answer whose every field is…. Trunkline Payer Call is an agent skill from CALLE-AI/awesome-phone-call-agents. Call a health plan's provider-services line about a claim with CALL-E, disclosing only the minimum patient identifiers that workflow needs, and return a schema-checked answer whose every field is backed by a quote from the call transcript.

When should I use Trunkline Payer Call?

Trunkline Payer Call fits situations like: prior authorization status; tasks that involve Meeting notes and agendas; tasks that involve Authorization and RBAC.

How do I install Trunkline Payer Call in Claude Code?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill trunkline-payer-call -a claude-code`. Or copy the skill folder (skills/trunkline-payer-call in CALLE-AI/awesome-phone-call-agents) into .claude/skills/trunkline-payer-call in your project. Claude Code loads it when a task matches its description.

How do I install Trunkline Payer Call in Codex?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill trunkline-payer-call -a codex`. Or copy the skill folder (skills/trunkline-payer-call in CALLE-AI/awesome-phone-call-agents) into .agents/skills/trunkline-payer-call in your project. Codex loads it when a task matches its description.

Can I use Trunkline Payer Call in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CALLE-AI/awesome-phone-call-agents --skill trunkline-payer-call -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trunkline-payer-call, .gemini/skills/trunkline-payer-call, .github/skills/trunkline-payer-call and .opencode/skills/trunkline-payer-call in your project.

What does Trunkline Payer Call need to run?

Going by SKILL.md and its folder, Trunkline Payer Call needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Trunkline Payer Call access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Trunkline Payer Call safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Trunkline Payer Call use?

Trunkline Payer Call is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Trunkline Payer Call use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.4k tokens, read only when the agent opens those files.

What are the alternatives to Trunkline Payer Call?

Skills that share tags, products or a category with Trunkline Payer Call: Meeting Notes (outline/outline, 41k stars), Management Talk (thananon/9arm-skills, 3.2k stars), Challenge Baseline Model (AgibotTech/genie_sim, 1.4k stars) and Handwriting Stand Up (limin112/min-skill, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trunkline Payer Call?

CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.

Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.