Call

Call management system with preparation, real-time capture, and follow-up tracking. Use when user mentions phone calls, meetings, conversations, commitments...

Security Scan

The skill's description promises a full local call-management system, but the package only includes one helper script and references many missing scripts and files — the bundle is incomplete and the privacy guarantees cannot be verified.

Purpose & Capability

The stated purpose (call preparation, capture, follow-up) matches the single included script (prep_call.py) for preparing calls, but SKILL.md advertises many additional capabilities (real-time capture, end-call summary, follow-up drafting, tracking) that require other scripts which are not present. That makes the delivered capability set disproportionate to the description.

Instruction Scope

SKILL.md instructs the agent to invoke multiple scripts (capture_fragments.py, end_call.py, draft_followup.py, check_followups.py, etc.) and references several 'references/*.md' docs, none of which are included. The doc also states data is stored under memory/calls/, while the included script reads from ~/.openclaw/workspace/memory/calls — an inconsistency in storage paths. Because core runtime instructions point to missing files, the agent cannot follow the declared workflows and the privacy/storage claims cannot be validated.

Install Mechanism

No install spec and no external downloads — lowest-risk distribution. Only an instruction file and one small Python script are present; nothing is written to disk by an installer.

Credentials

The skill requests no environment variables, no credentials, and no config paths. The single script only reads a local JSON file under the user's home directory; no network or external services are requested.

Persistence & Privilege

Skill is not forced-always or requesting elevated persistence. It does read from and (per SKILL.md) would store data locally, but the package does not show any installer or service that would create persistent processes or modify other skills.

What to consider before installing

This package is incomplete: SKILL.md promises many scripts and local-data behavior but only scripts/prep_call.py is included. Before installing or enabling this skill, ask the publisher for the missing scripts and the referenced documentation so you can review them for network calls, credential use, and data-write behavior. Verify where data is written (the script uses ~/.openclaw/workspace/memory/calls but the README mentions memory/calls/) and confirm you are comfortable with that location. If you cannot obtain the full source, treat this as untrusted — do not grant it elevated access or let it run autonomously. If you proceed, run it in an isolated environment and inspect any additional scripts for outbound network calls, credential access, or unexpected file writes.

Call management system. Every conversation, fully leveraged.

Critical Privacy & Safety

Data Storage (CRITICAL)

• All call data stored locally only: memory/calls/
• No call recording (unless user explicitly enables separately)
• No external CRM connected
• No sharing of conversation data
• User controls all data retention and deletion

Privacy Note

Call records contain sensitive information. All data stays local and private. You control what is captured and retained.

Data Structure

Call data stored locally:

• memory/calls/calls.json - Complete call records
• memory/calls/contacts.json - Contact history and context
• memory/calls/commitments.json - Commitments made/received
• memory/calls/followups.json - Pending follow-ups
• memory/calls/templates.json - Follow-up message templates

Core Workflows

Prepare for Call

User: "I have a call with Acme Corp in 30 minutes"
→ Use scripts/prep_call.py --contact "Acme Corp" --purpose "negotiate contract"
→ Pull previous calls, open commitments, relevant context

Capture During Call

User: "Note: They need the proposal by Friday, Sarah is decision maker, follow up on pricing"
→ Use scripts/capture_fragments.py --call-id "CALL-123" --fragments "proposal by Friday, Sarah decision maker, follow up pricing"
→ Build structured notes in real-time

End Call & Generate Summary

User: "Call is done"
→ Use scripts/end_call.py --call-id "CALL-123"
→ Generate summary: decisions, action items, commitments

Track Follow-ups

User: "What follow-ups do I owe?"
→ Use scripts/check_followups.py
→ Show all pending commitments with deadlines

Draft Follow-up Message

User: "Draft follow-up to Sarah"
→ Use scripts/draft_followup.py --contact "Sarah" --call-id "CALL-123"
→ Generate personalized follow-up email with specific references

Module Reference

• Call Preparation: See references/preparation.md
• Real-time Capture: See references/capture.md
• Commitment Tracking: See references/commitments.md
• Follow-up System: See references/followups.md
• Conversation History: See references/history.md
• Contact Intelligence: See references/contacts.md

Scripts Reference

Script	Purpose
prep_call.py	Prepare for upcoming call
capture_fragments.py	Capture notes during call
end_call.py	End call and generate summary
check_followups.py	Check pending follow-ups
draft_followup.py	Draft follow-up message
log_call.py	Log completed call
contact_history.py	View contact conversation history
commitment_status.py	Check commitment status