Audits claimed public or institutional directories (insurer provider rolls, marketplace sellers) with CALL-E phone calls, flagging each listing Present or Ghost with cited transcript evidence and a…
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents muster --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/muster .claude/skills/muster && rm -rf skills-srcUse ~/.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/
Install the "muster" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/muster into .claude/skills/muster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muster", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/musterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents muster --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/muster .agents/skills/muster && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "muster" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/muster into .agents/skills/muster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muster", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents muster --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/muster .cursor/skills/muster && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "muster" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/muster into .cursor/skills/muster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muster", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/CALLE-AI/awesome-phone-call-agents.git --path skills/muster--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents muster --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/muster .gemini/skills/muster && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "muster" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/muster into .gemini/skills/muster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muster", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install CALLE-AI/awesome-phone-call-agents musterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/muster .github/skills/muster && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "muster" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/muster into .github/skills/muster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muster", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents muster --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/muster .opencode/skills/muster && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "muster" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/muster into .opencode/skills/muster/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muster", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
musterAudits claimed public or institutional directories (insurer provider rolls, marketplace sellers) with CALL-E phone calls, flagging each listing Present or Ghost with cited transcript evidence and a…
Muster is an agent skill from CALLE-AI/awesome-phone-call-agents. Audits claimed public or institutional directories (insurer provider rolls, marketplace sellers) with CALL-E phone calls, flagging each listing Present or Ghost with cited transcript evidence and a headline ghost-rate.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/examples.md`, `references/safety.md` and `scripts/run_audit.py`).
The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythongitpipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Muster loads about 1.6k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 567 words of instructions outside code blocks.
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.
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.
The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 567 words, ~1,608 tokens.
.claude/skills/muster/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Audits directories before patients and consumers suffer from ghost networks.
Muster automates offline batch phone verification of contact directories that institutions claim are active:
By placing non-invasive, consent-first qualifying calls via CALL-E, Muster asks ONE benign verification question, extracts structured operational signals, cites verbatim transcript quotes, and computes the verified Ghost Rate (e.g. "7 of 12 audited = GHOST, 58.3%").
This skill orchestrates the open-source Muster directory auditor engine. To run audits locally:
# Clone and install the Muster engine
git clone https://github.com/omshukla24/Muster.git
cd Muster
pip install -e .Note: For lightweight workflow exploration, the skill operates in mock mode by default, allowing zero-cost simulated audits with bundled sample schemas without needing live telephony credits.
Activate Muster when an agent or auditor needs to:
.csv or .json) to flag defunct, disconnected, or left-network listings.audit_directory from any agent workflow.| Parameter | Type | Default | Description |
|---|---|---|---|
directory | File Path | Required | Path to CSV or JSON directory file (must contain entity name and phone number). |
sector | String | US_INSURER | Sector archetype: US_INSURER (healthcare in-network) or MARKETPLACE_SELLER (merchants). |
mode | String | mock | mock (zero-cost simulated rehearsal) or live (places real phone calls via CALL-E). |
goal | String | Auto-selected | Custom verification question. If omitted, uses sector default. |
concurrency | Integer | 2 | Number of simultaneous verification calls (max recommended: 3). |
sample_data/us_insurer_network.csv)id,name,phone,claimed_status,category,address
PROV-101,"Dr. Sarah Jenkins, MD",+15552340101,In-Network - BlueCross PPO,Primary Care,"Austin, TX"
PROV-102,Summit Psychological Associates,+15552340102,In-Network - Aetna Choice,Mental Health,"Denver, CO"sample_data/us_insurer_network.json)[
{
"id": "PROV-101",
"name": "Dr. Sarah Jenkins, MD (Family Medicine)",
"phone": "+15552340101",
"claimed_status": "In-Network - BlueCross PPO",
"category": "Primary Care",
"address": "Austin, TX"
}
]Muster produces experimental, advisory classifications intended for human review and operational triage (not definitive legal or regulatory compliance verdicts):
PRESENT: Authorized respondent affirmed in-network participation and intake availability.GHOST: Dead/unallocated number, wrong person/business reached, or respondent explicitly stated provider left network / closed.UNREACHABLE: Call timed out after multiple rings, busy signal, automated IVR voicemail loop without human answer, or carrier delivery failure.UNCERTAIN: Inconclusive dialogue or premature disconnection.reports/muster_audit_<job_id>.csv: Tabular dataset with entry IDs, phone numbers, verdicts, confidence scores, and cited evidence quotes.reports/muster_audit_<job_id>.json: Machine-readable audit package including verbatim transcripts and full schema extractions.reports/muster_audit_<job_id>.md: Executive Audit Report (Advisory) summarizing findings, confidence scores, and patient access ratios for human audit review.Run a deterministic audit simulating realistic reception dialogues without spending CALL-E credits:
python skills/muster/scripts/run_audit.py sample_data/us_insurer_network.json --mode mockRun real phone verification calls through authenticated CALL-E CLI:
python skills/muster/scripts/run_audit.py sample_data/us_insurer_network.json \
--mode live \
--concurrency 2 \
--goal "Hello, I am calling to verify directory network status. Are you currently in-network and accepting new patients?"(Note: Live runs require interactive confirmation or --confirm-live to protect against unintentional credit spend).
Any agent or MCP client can invoke Muster directly:
from muster.mcp_server import audit_directory
report = await audit_directory(
file_path="sample_data/us_insurer_network.json",
sector="US_INSURER",
mode="mock"
)
print(report)Launch the full-bleed responsive web dashboard:
python -m muster.cli ui --port 8000Open http://127.0.0.1:8000 to inspect the live switchboard, telegraph typing, and "The Reveal" finale.
All live operations are strictly governed by our Safety Contract, enforcing authorized E.164 recipients, per-run human preview/approval, privacy phone masking, no auto-retries on ambiguity, and honest cancellation limits.
© 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
SKILL.md and 3 other files (scripts, references) in skills/muster of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
Muster 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Muster this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Auditing Azure Active Directory Configurationmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Paper Claim Auditwanshuiyin/Auto-claude-code-research-in-sleep | 17k | 1 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Insurance Claimmohitagw15856/pm-claude-skills | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Claimsruvnet/ruflo | 74k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Production Auditaffaan-m/ECC | 276k | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest…
wanshuiyin/Auto-claude-code-research-in-sleep
Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files.
mohitagw15856/pm-claude-skills
Write a clear insurance claim letter or appeal that supports a payout.
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
affaan-m/ECC
Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service.
mohitagw15856/pm-claude-skills
Appeal a denied insurance claim — read the real reason for the denial, find the strongest grounds, and draft the appeal with the evidence that answers it.
CALLE-AI/awesome-phone-call-agents
Demonstrates advisory accessibility-planning checks with offline fixtures and a proposed bounded CALL-E workflow; use for exploring unknown or qualified venue claims without making calls.
CALLE-AI/awesome-phone-call-agents
A skill your agent uses when an agent holds some evidence for a physical-world claim but the evidence is broader, narrower, or older than the exact question asked, and it must first decide whether a…
CALLE-AI/awesome-phone-call-agents
Call a venue and ask the accessibility questions that matter to one specific person — step-free entry, hearing loop, guide dogs, quiet hours, changing places — then return a per-need verdict backed…
CALLE-AI/awesome-phone-call-agents
Turns a pre-written, building-level location config into a CALL-E outbound phone-call task that guides a delivery driver through the last few hundred metres to a specific building using landmarks…
CALLE-AI/awesome-phone-call-agents
Turn cited business research into a bounded, approval-gated phone-call plan that asks only unresolved factual questions, then reconcile CALL-E-compatible results without treating voicemail, refusal…
CALLE-AI/awesome-phone-call-agents
Place a goal-driven CALL-E call that collects specific structured answers, score those answers against a deterministic rubric you supply, and conditionally trigger a follow-up action — all runnable…
Audits claimed public or institutional directories (insurer provider rolls, marketplace sellers) with CALL-E phone calls, flagging each listing Present or Ghost with cited transcript evidence and a…. Muster is an agent skill from CALLE-AI/awesome-phone-call-agents. Audits claimed public or institutional directories (insurer provider rolls, marketplace sellers) with CALL-E phone calls, flagging each listing Present or Ghost with cited transcript evidence and a headline ghost-rate.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a claude-code`. Or copy the skill folder (skills/muster in CALLE-AI/awesome-phone-call-agents) into .claude/skills/muster in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill muster -a codex`. Or copy the skill folder (skills/muster in CALLE-AI/awesome-phone-call-agents) into .agents/skills/muster in your project. Codex loads it when a task matches its description.
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 muster -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/muster, .gemini/skills/muster, .github/skills/muster and .opencode/skills/muster in your project.
Going by SKILL.md and its folder, Muster needs Python for the scripts in its folder and the command-line tools its instructions call (python, git and pip). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Muster is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.4k 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 878 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Muster: Auditing Azure Active Directory Configuration (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Paper Claim Audit (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars), Insurance Claim (mohitagw15856/pm-claude-skills, 1.4k stars) and Claims (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.
