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call-pro

Name: call-pro
Author: pratilsudra

作者 pratilsudra · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install call-pro

功能描述

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

使用说明 (SKILL.md)

Call

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

安全使用建议

This package is inconsistent: metadata (slug/owner/version) does not match the registry entry, the README references many scripts and reference files that are not included, and the storage path in the README (memory/calls/) differs from the actual script (~/.openclaw/workspace/memory/calls). Before installing or enabling: 1) Ask the publisher for the complete source (all referenced scripts and the referenced reference files). 2) Confirm the correct authoritative metadata and publisher identity (ownerId/slug/version). 3) Inspect any missing scripts (capture_fragments.py, end_call.py, etc.) for network calls, credential use, or file writes. 4) If you must test now, run in an isolated environment (VM) and back up or inspect ~/.openclaw/workspace before use. 5) If you expect strict local-only behavior, request an explicit statement and full code for all referenced components; do not trust the skill until the missing pieces and path inconsistencies are resolved.

功能分析

Type: OpenClaw Skill Name: call-pro Version: 1.0.0 The skill bundle is a call management system designed to store and retrieve call notes, commitments, and follow-ups locally. The provided script 'scripts/prep_call.py' correctly implements the stated functionality by reading from a local JSON file in the OpenClaw workspace and displays no signs of data exfiltration, malicious execution, or prompt injection.

能力评估

⚠ Purpose & Capability

The SKILL.md promises a full call management suite (preparation, real-time capture, end-call processing, follow-ups) and references many scripts and reference files, but the bundle only includes a single prep_call.py and no other scripts or reference files. Registry metadata (name/slug/version/ownerId) also disagrees with the supplied _meta.json, suggesting the package may have been repackaged or truncated.

⚠ Instruction Scope

Runtime instructions call many scripts (capture_fragments.py, end_call.py, draft_followup.py, etc.) and refer to storage under memory/calls/, yet only scripts/prep_call.py is present and that script uses a different path (~/.openclaw/workspace/memory/calls). The SKILL.md asserts 'All data stored locally' and 'No external CRM', which the provided code does not contradict — but the missing scripts mean the declared runtime behavior cannot be verified and the agent may fail or try to perform undefined actions.

✓ Install Mechanism

No install spec is provided (instruction-only skill with included files). This is low-risk from an automatic-install perspective because nothing will be downloaded or executed outside the bundle, but the bundle's inconsistencies (missing scripts/refs) remain a concern.

✓ Credentials

The skill declares no required environment variables or credentials and the included prep_call.py similarly does not request secrets. However, the script reads from the user's home path (~/.openclaw/workspace/memory/calls), so it will access local files if present — consistent with a local-only data model but worth verifying that no other missing scripts would attempt network access.

✓ Persistence & Privilege

The skill does not request persistent/always-on privileges and defaults to normal invocation behavior. There is no install-time step that modifies other skills or system-wide settings in the provided bundle.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install call-pro
安装完成后，直接呼叫该 Skill 的名称或使用 /call-pro 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of "call": a comprehensive call management system. - Supports preparation, real-time note capture, tracking of commitments, follow-ups, and creating conversation history. - Emphasizes privacy: all call data is stored locally, no recordings or external CRM connections by default. - Provides modular scripts for each workflow stage (preparation, capture, summary, follow-up, history). - Adds built-in templates and structured data storage for contacts, calls, commitments, and follow-ups.

元数据

Slug call-pro

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题

call-pro 是什么？

Call management system with preparation, real-time capture, and follow-up tracking. Use when user mentions phone calls, meetings, conversations, commitments... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 99 次。

如何安装 call-pro？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install call-pro」即可一键安装，无需额外配置。

call-pro 是免费的吗？

是的，call-pro 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

call-pro 支持哪些平台？

call-pro 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 call-pro？

由 pratilsudra（@pratilsudra）开发并维护，当前版本 v1.0.0。