How should ClawCall be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

ClawCall

Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, ca... Skill: ClawCall Owner: shreyjindal81 Summary: Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, ca... Tags: deepgram:1.0.3, dtmf:1.0.3, latest:1.0.3, phone:1.0.3, telnyx:1.0.3, voice:1.0.3 Version history: v1.0.3 | 2026-02-14T00:41:18.977Z | user Add DTMF tool-call support (send_dtmf) with input validation, Telnyx

OpenClaw · self-declared

661 downloadsTrust evidence available

View on ClawHub

clawhub skill install kn7bechywge8vg3xywqa3vptwx8058zq:clawcall

Overall rank

#62

Adoption

661 downloads

Trust

Unknown

Freshness

Mar 1, 2026

Freshness

Last checked Mar 1, 2026

Best For

ClawCall is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals661 downloads

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Clawhub

Artifacts

Benchmarks

Last release

1.0.3

Install & run

Setup Snapshot

clawhub skill install kn7bechywge8vg3xywqa3vptwx8058zq:clawcall

1
Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
2
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
3
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Clawhub

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Release (1)

Latest release

1.0.3

releasemedium

Observed Feb 14, 2026Source link Provenance

Adoption (1)

Adoption signal

661 downloads

profilemedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Events

Release & Crawl Timeline

Release

Release 1.0.3

releasemedium

Add DTMF tool-call support (send_dtmf) with input validation, Telnyx send_dtmf action wiring, improved function-call error responses, and docs updates.

Observed Feb 14, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

Unknown

Executable Examples

bash

npm --prefix {baseDir} install

bash

node {baseDir}/telnyx_voice_agent.js --to "+15551234567" --ngrok \
  --personality "<detailed personality>" \
  --task "<detailed task with all context>"

bash

node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm and experienced veterinary receptionist at Pawsitive Care Animal Hospital. You've worked there for 5 years and genuinely love animals. You know all the vets by name - Dr. Chen specializes in surgery, Dr. Patel handles general wellness, and Dr. Morrison is the exotic animals expert. You're organized but personable." \
  --task "Call to follow up with the Hendersons about their pets. They have three animals at your clinic: 1) Max, a 7-year-old golden retriever who had knee surgery last week - need to schedule his two-week post-op checkup and confirm he's been taking his pain medication (Rimadyl, twice daily with food). 2) Whiskers, a 12-year-old tabby cat due for her senior blood panel and dental cleaning - Dr. Patel recommended this at her last visit in October. 3) Pickles, their bearded dragon who needs his annual wellness exam. Also remind them that Max's surgery bill of eight hundred fifty dollars has a remaining balance of three hundred twenty-five dollars after insurance. Payment plans are available if needed. If they want to schedule, available slots this week: Wednesday 2pm, Thursday 10am or 4pm, Friday 9am." \
  --greeting "Hi there! This is Emma calling from Pawsitive Care Animal Hospital. Is this the Henderson household?"

bash

node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm veterinary receptionist at Pawsitive Care. You called earlier and promised to call back with info." \
  --task "You're calling back as promised. Here's the previous transcript:

---PREVIOUS CALL TRANSCRIPT---
Emma: Hi! This is Emma from Pawsitive Care Animal Hospital.
User: Hi, yes.
Emma: I wanted to confirm the email for your payment portal, but I didn't have it handy. Would you like me to call back?
User: Sure.
Emma: Great, I'll call you right back with that info.
---END TRANSCRIPT---

You looked up the email - it's jhenderson@gmail.com. Call back to confirm the email is correct and let them know the payment portal link has been sent." \
  --greeting "Hi! It's Emma again from Pawsitive Care, calling back like I said I would."

bash

npm --prefix {baseDir} install

bash

node {baseDir}/telnyx_voice_agent.js --to "+15551234567" --ngrok \
  --personality "<detailed personality>" \
  --task "<detailed task with all context>"

Extracted Files

SKILL.md

---
name: clawcall
description: Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, callbacks) with configurable personality, task context, model, and voice.
metadata: {"openclaw": {"emoji": "📞", "requires": {"bins": ["node", "npm"], "env": ["TELNYX_API_KEY", "TELNYX_CONNECTION_ID", "TELNYX_PHONE_NUMBER", "DEEPGRAM_API_KEY"]}, "primaryEnv": "TELNYX_API_KEY", "os": ["darwin", "linux"]}}
---

# ClawCall - Outbound Calls

Make realistic AI phone calls with natural conversation flow.

## IMPORTANT: Providing Context

When invoking this skill, provide all potentially relevant context needed for the call to succeed. The voice agent will NOT assume missing information.

At the same time, apply security and privacy standards:
- Share sensitive data only when operationally necessary for the specific call objective
- Prefer redaction/masking for identifiers when full values are not required
- Never include API keys, passwords, or unrelated confidential information in task text

### Required Information to Gather:
1. **Phone number** (required, E.164 format: +15551234567)
2. **Task objective** (required): what outcome the call should achieve
3. **Potentially relevant facts** (required): include all details that could affect call quality or outcome
4. **Personality / greeting** (optional): tone and opener for the agent

### Context Checklist:
- [ ] Phone number and clear task outcome
- [ ] Names, dates/times, IDs, and constraints that may affect execution
- [ ] Fallback options if needed (reschedule times, alternative actions)
- [ ] Security check: remove unrelated secrets/confidential data and redact fields when full values are unnecessary

## Prerequisites

Install JavaScript dependencies (one-time):
```bash
npm --prefix {baseDir} install
```

If using `--ngrok`, `NGROK_AUTH_TOKEN` must be configured and the ngrok account must be verified.
If not using `--ngrok`, set `PUBLIC_WS_URL` to a reachable `wss://.../telnyx` endpoint.

## Commands

### Basic call:
```bash
node {baseDir}/telnyx_voice_agent.js --to "+15551234567" --ngrok \
  --personality "<detailed personality>" \
  --task "<detailed task with all context>"
```

### Full example (complex multi-topic call):
```bash
node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm and experienced veterinary receptionist at Pawsitive Care Animal Hospital. You've worked there for 5 years and genuinely love animals. You know all the vets by name - Dr. Chen specializes in surgery, Dr. Patel handles general wellness, and Dr. Morrison is the exotic animals expert. You're organized but personable." \
  --task "Call to follow up with the Hendersons about their pets. They have three animals at your clinic: 1) Max, a 7-year-old golden retriever who had knee surgery last week - need to schedule his two-week post-op checkup and confirm he's been taking his pain medication

_meta.json

{
  "ownerId": "kn7bechywge8vg3xywqa3vptwx8058zq",
  "slug": "clawcall",
  "version": "1.0.3",
  "publishedAt": 1771029678977
}

package-lock.json

{
  "name": "clawcall",
  "version": "1.0.3",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "clawcall",
      "version": "1.0.3",
      "dependencies": {
        "@ngrok/ngrok": "^1.7.0",
        "dotenv": "^16.4.7",
        "express": "^4.21.2",
        "ws": "^8.18.1",
        "yargs": "^17.7.2"
      },
      "engines": {
        "node": ">=18"
      }
    },
    "node_modules/@ngrok/ngrok": {
      "version": "1.7.0",
      "resolved": "https://registry.npmjs.org/@ngrok/ngrok/-/ngrok-1.7.0.tgz",
      "integrity": "sha512-P06o9TpxrJbiRbHQkiwy/rUrlXRupc+Z8KT4MiJfmcdWxvIdzjCaJOdnNkcOTs6DMyzIOefG5tvk/HLdtjqr0g==",
      "license": "(MIT OR Apache-2.0)",
      "engines": {
        "node": ">= 10"
      },
      "optionalDependencies": {
        "@ngrok/ngrok-android-arm64": "1.7.0",
        "@ngrok/ngrok-darwin-arm64": "1.7.0",
        "@ngrok/ngrok-darwin-universal": "1.7.0",
        "@ngrok/ngrok-darwin-x64": "1.7.0",
        "@ngrok/ngrok-freebsd-x64": "1.7.0",
        "@ngrok/ngrok-linux-arm-gnueabihf": "1.7.0",
        "@ngrok/ngrok-linux-arm64-gnu": "1.7.0",
        "@ngrok/ngrok-linux-arm64-musl": "1.7.0",
        "@ngrok/ngrok-linux-x64-gnu": "1.7.0",
        "@ngrok/ngrok-linux-x64-musl": "1.7.0",
        "@ngrok/ngrok-win32-arm64-msvc": "1.7.0",
        "@ngrok/ngrok-win32-ia32-msvc": "1.7.0",
        "@ngrok/ngrok-win32-x64-msvc": "1.7.0"
      }
    },
    "node_modules/@ngrok/ngrok-android-arm64": {
      "version": "1.7.0",
      "resolved": "https://registry.npmjs.org/@ngrok/ngrok-android-arm64/-/ngrok-android-arm64-1.7.0.tgz",
      "integrity": "sha512-8tco3ID6noSaNy+CMS7ewqPoIkIM6XO5COCzsUp3Wv3XEbMSyn65RN6cflX2JdqLfUCHcMyD0ahr9IEiHwqmbQ==",
      "cpu": [
        "arm64"
      ],
      "license": "MIT",
      "optional": true,
      "os": [
        "android"
      ],
      "engines": {
        "node": ">= 10"
      }
    },
    "node_modules/@ngrok/ngrok-darwin-arm64": {
      "version": "1.7.0",
      "resolved": "https://registry.npmjs.org/@ngrok/ngrok-darwin-arm64/-/ngrok-darwin-arm64-1.7.0.tgz",
      "integrity": "sha512-+dmJSOzSO+MNDVrPOca2yYDP1W3KfP4qOlAkarIeFRIfqonQwq3QCBmcR7HAlZocLsSqEwyG6KP4RRvAuT0WGQ==",
      "cpu": [
        "arm64"
      ],
      "license": "MIT",
      "optional": true,
      "os": [
        "darwin"
      ],
      "engines": {
        "node": ">= 10"
      }
    },
    "node_modules/@ngrok/ngrok-darwin-universal": {
      "version": "1.7.0",
      "resolved": "https://registry.npmjs.org/@ngrok/ngrok-darwin-universal/-/ngrok-darwin-universal-1.7.0.tgz",
      "integrity": "sha512-fDEfewyE2pWGFBhOSwQZObeHUkc65U1l+3HIgSOe094TMHsqmyJD0KTCgW9KSn0VP4OvDZbAISi1T3nvqgZYhQ==",
      "license": "MIT",
      "optional": true,
      "os": [
        "darwin"
      ],
      "engines": {
        "node": ">= 10"
      }
    },
    "node_modules/@ngrok/ngrok-darwin-x64": {
      "version": "1.7.0",
      "resolved": "https://registry.npmjs.org/@ngrok/ngrok-darwin-x64/-/ngrok-

package.json

{
  "name": "clawcall",
  "version": "1.0.3",
  "private": true,
  "description": "ClawCall: outbound phone agent using Deepgram Voice Agent API and Telnyx.",
  "main": "telnyx_voice_agent.js",
  "keywords": [
    "openclaw",
    "clawhub",
    "telnyx",
    "deepgram",
    "voice-agent",
    "telephony"
  ],
  "scripts": {
    "start": "node telnyx_voice_agent.js",
    "check": "node --check telnyx_voice_agent.js"
  },
  "engines": {
    "node": ">=18"
  },
  "dependencies": {
    "@ngrok/ngrok": "^1.7.0",
    "dotenv": "^16.4.7",
    "express": "^4.21.2",
    "ws": "^8.18.1",
    "yargs": "^17.7.2"
  }
}

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Full README

Skill: ClawCall

Owner: shreyjindal81

Summary: Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, ca...

Tags: deepgram:1.0.3, dtmf:1.0.3, latest:1.0.3, phone:1.0.3, telnyx:1.0.3, voice:1.0.3

Version history:

v1.0.3 | 2026-02-14T00:41:18.977Z | user

Add DTMF tool-call support (send_dtmf) with input validation, Telnyx send_dtmf action wiring, improved function-call error responses, and docs updates.

v1.0.2 | 2026-02-11T03:28:37.507Z | user

Security hardening and metadata consistency updates; default full-call recording with local persistence and Telnyx cleanup.

v1.0.1 | 2026-02-11T03:17:28.106Z | user

ClawCall rebrand, skill-first structure, README launch polish, and recording lifecycle improvements.

Archive index:

Archive v1.0.3: 5 files, 30012 bytes

Files: package-lock.json (44248b), package.json (614b), SKILL.md (6352b), telnyx_voice_agent.js (56784b), _meta.json (127b)

File v1.0.3:SKILL.md

name: clawcall description: Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, callbacks) with configurable personality, task context, model, and voice. metadata: {"openclaw": {"emoji": "📞", "requires": {"bins": ["node", "npm"], "env": ["TELNYX_API_KEY", "TELNYX_CONNECTION_ID", "TELNYX_PHONE_NUMBER", "DEEPGRAM_API_KEY"]}, "primaryEnv": "TELNYX_API_KEY", "os": ["darwin", "linux"]}}

ClawCall - Outbound Calls

Make realistic AI phone calls with natural conversation flow.

IMPORTANT: Providing Context

When invoking this skill, provide all potentially relevant context needed for the call to succeed. The voice agent will NOT assume missing information.

At the same time, apply security and privacy standards:

Share sensitive data only when operationally necessary for the specific call objective
Prefer redaction/masking for identifiers when full values are not required
Never include API keys, passwords, or unrelated confidential information in task text

Required Information to Gather:

Phone number (required, E.164 format: +15551234567)
Task objective (required): what outcome the call should achieve
Potentially relevant facts (required): include all details that could affect call quality or outcome
Personality / greeting (optional): tone and opener for the agent

Context Checklist:

[ ] Phone number and clear task outcome
[ ] Names, dates/times, IDs, and constraints that may affect execution
[ ] Fallback options if needed (reschedule times, alternative actions)
[ ] Security check: remove unrelated secrets/confidential data and redact fields when full values are unnecessary

Prerequisites

Install JavaScript dependencies (one-time):

npm --prefix {baseDir} install

If using --ngrok, NGROK_AUTH_TOKEN must be configured and the ngrok account must be verified. If not using --ngrok, set PUBLIC_WS_URL to a reachable wss://.../telnyx endpoint.

Commands

Basic call:

node {baseDir}/telnyx_voice_agent.js --to "+15551234567" --ngrok \
  --personality "<detailed personality>" \
  --task "<detailed task with all context>"

Full example (complex multi-topic call):

node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm and experienced veterinary receptionist at Pawsitive Care Animal Hospital. You've worked there for 5 years and genuinely love animals. You know all the vets by name - Dr. Chen specializes in surgery, Dr. Patel handles general wellness, and Dr. Morrison is the exotic animals expert. You're organized but personable." \
  --task "Call to follow up with the Hendersons about their pets. They have three animals at your clinic: 1) Max, a 7-year-old golden retriever who had knee surgery last week - need to schedule his two-week post-op checkup and confirm he's been taking his pain medication (Rimadyl, twice daily with food). 2) Whiskers, a 12-year-old tabby cat due for her senior blood panel and dental cleaning - Dr. Patel recommended this at her last visit in October. 3) Pickles, their bearded dragon who needs his annual wellness exam. Also remind them that Max's surgery bill of eight hundred fifty dollars has a remaining balance of three hundred twenty-five dollars after insurance. Payment plans are available if needed. If they want to schedule, available slots this week: Wednesday 2pm, Thursday 10am or 4pm, Friday 9am." \
  --greeting "Hi there! This is Emma calling from Pawsitive Care Animal Hospital. Is this the Henderson household?"

Follow-up calls with transcript context:

When calling back after a previous conversation, include a concise summary and include the full transcript if it can materially improve continuity. Redact sensitive details that are not required for the callback objective.

node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm veterinary receptionist at Pawsitive Care. You called earlier and promised to call back with info." \
  --task "You're calling back as promised. Here's the previous transcript:

---PREVIOUS CALL TRANSCRIPT---
Emma: Hi! This is Emma from Pawsitive Care Animal Hospital.
User: Hi, yes.
Emma: I wanted to confirm the email for your payment portal, but I didn't have it handy. Would you like me to call back?
User: Sure.
Emma: Great, I'll call you right back with that info.
---END TRANSCRIPT---

You looked up the email - it's jhenderson@gmail.com. Call back to confirm the email is correct and let them know the payment portal link has been sent." \
  --greeting "Hi! It's Emma again from Pawsitive Care, calling back like I said I would."

This is useful when:

The agent promised to call back with information
You need to follow up on a previous conversation
Continuing a multi-part interaction

Voice Selection

Default voice:

elevenlabs/rachel - Female (default)

Other recommended voices:

elevenlabs/adam - Male
elevenlabs/josh - Male (deeper voice)
Deepgram voices are also supported via deepgram/<voice-id>

No separate ELEVENLABS_API_KEY is required by this skill. Voice provider selection is sent through Deepgram Voice Agent settings.

Model Selection

Fast default: gpt-4o-mini

Output

The call transcript will be returned, containing the full conversation. Use this to:

Confirm task completion
Extract information gathered during the call
Report back to the user

You must return the full call transcript to the user after the call ends.

At call end, recording lifecycle logs are also emitted:

Recording URL discovered
Recording saved to local disk (RECORDINGS_DIR, default ./recordings)
Recording deleted from the Telnyx portal after successful local save

Notes

The agent will NEVER assume information not provided
If asked something it doesn't know, it will offer to hang up and call back
ngrok tunnel is automatically managed
Environment variables must be configured in OpenClaw settings
If a call connects with no audio, check DEEPGRAM_API_KEY validity/entitlement first
Recordings are enabled by default and persisted locally
Only include sensitive personal data when strictly necessary for the requested task

File v1.0.3:_meta.json

{ "ownerId": "kn7bechywge8vg3xywqa3vptwx8058zq", "slug": "clawcall", "version": "1.0.3", "publishedAt": 1771029678977 }

File v1.0.3:package-lock.json

{ "name": "clawcall", "version": "1.0.3", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "clawcall", "version": "1.0.3", "dependencies": { "@ngrok/ngrok": "^1.7.0", "dotenv": "^16.4.7", "express": "^4.21.2", "ws": "^8.18.1", "yargs": "^17.7.2" }, "engines": { "node": ">=18" } }, "node_modules/@ngrok/ngrok": { "version": "1.7.0", "resolved": "https://registry.npmjs.org/@ngrok/ngrok/-/ngrok-1.7.0.tgz", "integrity": "sha512-P06o9TpxrJbiRbHQkiwy/rUrlXRupc+Z8KT4MiJfmcdWxvIdzjCaJOdnNkcOTs6DMyzIOefG5tvk/HLdtjqr0g==", "license": "(MIT OR Apache-2.0)", "engines": { "node": ">= 10" }, "optionalDependencies": { "@ngrok/ngrok-android-arm64": "1.7.0", "@ngrok/ngrok-darwin-arm64": "1.7.0", "@ngrok/ngrok-darwin-universal": "1.7.0", "@ngrok/ngrok-darwin-x64": "1.7.0", "@ngrok/ngrok-freebsd-x64": "1.7.0", "@ngrok/ngrok-linux-arm-gnueabihf": "1.7.0", "@ngrok/ngrok-linux-arm64-gnu": "1.7.0", "@ngrok/ngrok-linux-arm64-musl": "1.7.0", "@ngrok/ngrok-linux-x64-gnu": "1.7.0", 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File v1.0.3:package.json

{ "name": "clawcall", "version": "1.0.3", "private": true, "description": "ClawCall: outbound phone agent using Deepgram Voice Agent API and Telnyx.", "main": "telnyx_voice_agent.js", "keywords": [ "openclaw", "clawhub", "telnyx", "deepgram", "voice-agent", "telephony" ], "scripts": { "start": "node telnyx_voice_agent.js", "check": "node --check telnyx_voice_agent.js" }, "engines": { "node": ">=18" }, "dependencies": { "@ngrok/ngrok": "^1.7.0", "dotenv": "^16.4.7", "express": "^4.21.2", "ws": "^8.18.1", "yargs": "^17.7.2" } }

Archive v1.0.2: 5 files, 28839 bytes

Files: package-lock.json (44248b), package.json (614b), SKILL.md (6352b), telnyx_voice_agent.js (52072b), _meta.json (127b)

File v1.0.2:SKILL.md

name: clawcall description: Run AI-powered outbound phone calls with Telnyx + Deepgram Voice Agent. Use when the user wants real phone outreach (follow-ups, confirmations, reminders, callbacks) with configurable personality, task context, model, and voice. metadata: {"openclaw": {"emoji": "📞", "requires": {"bins": ["node", "npm"], "env": ["TELNYX_API_KEY", "TELNYX_CONNECTION_ID", "TELNYX_PHONE_NUMBER", "DEEPGRAM_API_KEY"]}, "primaryEnv": "TELNYX_API_KEY", "os": ["darwin", "linux"]}}

ClawCall - Outbound Calls

Make realistic AI phone calls with natural conversation flow.

IMPORTANT: Providing Context

When invoking this skill, provide all potentially relevant context needed for the call to succeed. The voice agent will NOT assume missing information.

At the same time, apply security and privacy standards:

Share sensitive data only when operationally necessary for the specific call objective
Prefer redaction/masking for identifiers when full values are not required
Never include API keys, passwords, or unrelated confidential information in task text

Required Information to Gather:

Phone number (required, E.164 format: +15551234567)
Task objective (required): what outcome the call should achieve
Potentially relevant facts (required): include all details that could affect call quality or outcome
Personality / greeting (optional): tone and opener for the agent

Context Checklist:

[ ] Phone number and clear task outcome
[ ] Names, dates/times, IDs, and constraints that may affect execution
[ ] Fallback options if needed (reschedule times, alternative actions)
[ ] Security check: remove unrelated secrets/confidential data and redact fields when full values are unnecessary

Prerequisites

Install JavaScript dependencies (one-time):

npm --prefix {baseDir} install

If using --ngrok, NGROK_AUTH_TOKEN must be configured and the ngrok account must be verified. If not using --ngrok, set PUBLIC_WS_URL to a reachable wss://.../telnyx endpoint.

Commands

Basic call:

node {baseDir}/telnyx_voice_agent.js --to "+15551234567" --ngrok \
  --personality "<detailed personality>" \
  --task "<detailed task with all context>"

Full example (complex multi-topic call):

node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm and experienced veterinary receptionist at Pawsitive Care Animal Hospital. You've worked there for 5 years and genuinely love animals. You know all the vets by name - Dr. Chen specializes in surgery, Dr. Patel handles general wellness, and Dr. Morrison is the exotic animals expert. You're organized but personable." \
  --task "Call to follow up with the Hendersons about their pets. They have three animals at your clinic: 1) Max, a 7-year-old golden retriever who had knee surgery last week - need to schedule his two-week post-op checkup and confirm he's been taking his pain medication (Rimadyl, twice daily with food). 2) Whiskers, a 12-year-old tabby cat due for her senior blood panel and dental cleaning - Dr. Patel recommended this at her last visit in October. 3) Pickles, their bearded dragon who needs his annual wellness exam. Also remind them that Max's surgery bill of eight hundred fifty dollars has a remaining balance of three hundred twenty-five dollars after insurance. Payment plans are available if needed. If they want to schedule, available slots this week: Wednesday 2pm, Thursday 10am or 4pm, Friday 9am." \
  --greeting "Hi there! This is Emma calling from Pawsitive Care Animal Hospital. Is this the Henderson household?"

Follow-up calls with transcript context:

node {baseDir}/telnyx_voice_agent.js \
  --to "+15551234567" \
  --ngrok \
  --personality "Emma, a warm veterinary receptionist at Pawsitive Care. You called earlier and promised to call back with info." \
  --task "You're calling back as promised. Here's the previous transcript:

---PREVIOUS CALL TRANSCRIPT---
Emma: Hi! This is Emma from Pawsitive Care Animal Hospital.
User: Hi, yes.
Emma: I wanted to confirm the email for your payment portal, but I didn't have it handy. Would you like me to call back?
User: Sure.
Emma: Great, I'll call you right back with that info.
---END TRANSCRIPT---

You looked up the email - it's jhenderson@gmail.com. Call back to confirm the email is correct and let them know the payment portal link has been sent." \
  --greeting "Hi! It's Emma again from Pawsitive Care, calling back like I said I would."

This is useful when:

The agent promised to call back with information
You need to follow up on a previous conversation
Continuing a multi-part interaction

Voice Selection

Default voice:

elevenlabs/rachel - Female (default)

Other recommended voices:

elevenlabs/adam - Male
elevenlabs/josh - Male (deeper voice)
Deepgram voices are also supported via deepgram/<voice-id>

No separate ELEVENLABS_API_KEY is required by this skill. Voice provider selection is sent through Deepgram Voice Agent settings.

Model Selection

Fast default: gpt-4o-mini

Output

The call transcript will be returned, containing the full conversation. Use this to:

Confirm task completion
Extract information gathered during the call
Report back to the user

You must return the full call transcript to the user after the call ends.

At call end, recording lifecycle logs are also emitted:

Recording URL discovered
Recording saved to local disk (RECORDINGS_DIR, default ./recordings)
Recording deleted from the Telnyx portal after successful local save

Notes

The agent will NEVER assume information not provided
If asked something it doesn't know, it will offer to hang up and call back
ngrok tunnel is automatically managed
Environment variables must be configured in OpenClaw settings
If a call connects with no audio, check DEEPGRAM_API_KEY validity/entitlement first
Recordings are enabled by default and persisted locally
Only include sensitive personal data when strictly necessary for the requested task

File v1.0.2:_meta.json

{ "ownerId": "kn7bechywge8vg3xywqa3vptwx8058zq", "slug": "clawcall", "version": "1.0.2", "publishedAt": 1770780517507 }

File v1.0.2:package-lock.json

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File v1.0.2:package.json

{ "name": "clawcall", "version": "1.0.2", "private": true, "description": "ClawCall: outbound phone agent using Deepgram Voice Agent API and Telnyx.", "main": "telnyx_voice_agent.js", "keywords": [ "openclaw", "clawhub", "telnyx", "deepgram", "voice-agent", "telephony" ], "scripts": { "start": "node telnyx_voice_agent.js", "check": "node --check telnyx_voice_agent.js" }, "engines": { "node": ">=18" }, "dependencies": { "@ngrok/ngrok": "^1.7.0", "dotenv": "^16.4.7", "express": "^4.21.2", "ws": "^8.18.1", "yargs": "^17.7.2" } }

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/snapshot"

curl -s "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/contract"

curl -s "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T06:20:03.181Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Clawhub",
    "href": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceUrl": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "661 downloads",
    "href": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceUrl": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "latest_release",
    "category": "release",
    "label": "Latest release",
    "value": "1.0.3",
    "href": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceUrl": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceType": "release",
    "confidence": "medium",
    "observedAt": "2026-02-14T00:41:18.977Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-shreyjindal81-clawcall/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "release",
    "title": "Release 1.0.3",
    "description": "Add DTMF tool-call support (send_dtmf) with input validation, Telnyx send_dtmf action wiring, improved function-call error responses, and docs updates.",
    "href": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceUrl": "https://clawhub.ai/shreyjindal81/clawcall",
    "sourceType": "release",
    "confidence": "medium",
    "observedAt": "2026-02-14T00:41:18.977Z",
    "isPublic": true
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

ClawCall - Outbound Calls

IMPORTANT: Providing Context

Required Information to Gather:

Context Checklist:

Prerequisites

Commands

Basic call:

Full example (complex multi-topic call):

Follow-up calls with transcript context:

Voice Selection

Model Selection

Output

Notes

ClawCall - Outbound Calls

IMPORTANT: Providing Context

Required Information to Gather:

Context Checklist:

Prerequisites

Commands

Basic call:

Full example (complex multi-topic call):

Follow-up calls with transcript context:

Voice Selection

Model Selection

Output

Notes

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

Machine Appendix