OpenAgent is a self-hostable personal AI assistant that combines language models, document-based retrieval, and autonomous agent loops. It lets people connect model providers and their own knowledge bases, then have agents browse the web, run code, use computers, and call MCP-compatible tools.
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 the-open-agent/openagent --skill voice-callgit clone --depth 1 https://github.com/the-open-agent/openagentWrote 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/the-open-agent/openagent/voice-call)<a href="https://agentmods.dev/skills/the-open-agent/openagent/voice-call"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/voice-call.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00333 |
| Opus 5 | $0.00008 | $0.00167 |
| Sonnet 5 | $0.00003 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
voice-call 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 7d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
- voice-call — 100% identical, 0 lines differ
What it actually says
Voice Call
Use the voice-call plugin to start or inspect calls (Twilio, Telnyx, Plivo, or mock).
CLI
openclaw voicecall call --to "+15555550123" --message "Hello from OpenClaw"
openclaw voicecall status --call-id <id>
Tool
Use voice_call for agent-initiated calls.
Actions:
initiate_call(message, to?, mode?)continue_call(callId, message)speak_to_user(callId, message)end_call(callId)get_status(callId)
Notes:
- Requires the voice-call plugin to be enabled.
- Plugin config lives under
plugins.entries.voice-call.config. - Twilio config:
provider: "twilio"+twilio.accountSid/authToken+fromNumber. - Telnyx config:
provider: "telnyx"+telnyx.apiKey/connectionId+fromNumber. - Plivo config:
provider: "plivo"+plivo.authId/authToken+fromNumber. - Dev fallback:
provider: "mock"(no network).
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.
- 7d ago First seen · 46 lines · 15 tokens per session scan A d3e2c6d3d4ab
voice-call is a skill published in the GitHub repository the-open-agent/openagent (5,603 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 333 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
documents
Create, read, edit, review, comment on, sanitize, render, and validate Microsoft Word DOCX documents. Use whenever a DOCX or Word document is a primary input or deliverable, including reports, proposals, forms, templates, tracked revisions, comments, tables, images, headers, footers, and style-preserving edits.
Read, create, inspect, merge, split, rotate, encrypt, fill, and validate PDF files. Use when the user asks to work with a PDF or convert supported Markdown into a polished PDF in AstrBot.
skill-creator
Create, revise, and validate AstrBot Skills built around SKILL.md instruction bundles. Use when the user asks to create, scaffold, improve, package, or review a Skill for an AstrBot workspace, local installation, or plugin.
spreadsheets
Create, read, edit, analyze, convert, chart, and validate spreadsheet files including XLSX, XLSM, XLS, CSV, and TSV. Use when a spreadsheet is a primary input or deliverable, or when tabular data must remain editable and auditable in workbook form.
session-rag-eval
Run and debug Chatbox session attachment RAG model evaluation with synthetic and real long-file fixtures.
codebase-classification
Classify codebases before modification to choose appropriate development approach.