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Thoughtful
作者
Neil Agarwal
· GitHub ↗
· v1.2.0
1957
总下载
1
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1
当前安装
3
版本数
在 OpenClaw 中安装
/install thoughtful
功能描述
Your thoughtful companion for WhatsApp - remembers what matters, helps you stay present in your relationships.
安全使用建议
This skill appears coherent with its stated purpose, but review these points before installing:
- Required binary: Ensure you trust and control the wacli-readonly binary installed on your system — this skill reads WhatsApp data through that tool. Verify wacli-readonly's authentication and where it stores credentials.
- Local data: All message-derived data and the LLM prompt are saved under ~/clawd/thoughtful-data/ (or OPENCLAW_WORKDIR). These files contain sensitive conversation contents; make sure file permissions and backups meet your privacy expectations.
- LLM integration: Right now the scripts only prepare and save the prompt locally. If you (or someone) integrates an external LLM endpoint later, the prompt includes raw messages and task data and will be transmitted — only enable that if you trust the LLM endpoint and understand its retention/privacy policies.
- Config mismatch: The code references config.chats.whitelistGroups while docs/examples show whitelistGroups at top-level. Expect to edit config.json or the script to match, otherwise the skill may fail or omit group messages.
- Run manually first: Before enabling automated runs or cron jobs, run the generate-summary.sh manually and inspect thoughtful-data/context/last-prompt.txt to confirm what will be sent to an LLM. Check logs and ensure sandboxing if your environment supports it.
If you want more assurance, provide the wacli-readonly implementation/source or confirm how its auth is stored so you can verify no surprising behavior there.
功能分析
Type: OpenClaw Skill
Name: thoughtful
Version: 1.2.0
The OpenClaw AgentSkills skill bundle 'thoughtful' is designed to process WhatsApp messages (read-only) and generate communication summaries. All operations are explicitly stated to run in a sandbox, and data is stored locally. The skill uses `wacli-readonly` to access messages, preventing unauthorized sending. Cron jobs are configured to run sync and summary generation in `isolated` sessions, delivering summaries to a specific Telegram topic, which aligns with the skill's stated purpose. There is no evidence of intentional harmful behavior such as data exfiltration to unauthorized external endpoints, backdoors, or prompt injection attempts against the agent to subvert its core directives.
能力评估
Purpose & Capability
Name/description (WhatsApp companion) align with the actual requirements and files. The skill requires the wacli-readonly binary (expected for read-only access to WhatsApp), includes scripts to fetch chats/messages and to build a coach-style LLM prompt, and stores all data under a local workdir. No unrelated services, credentials, or binaries are requested.
Instruction Scope
Runtime instructions and scripts only read WhatsApp data (via wacli-readonly), local config/state/task files, and then build and save an LLM prompt to thoughtful-data/context/last-prompt.txt. The SKILL.md and scripts do not currently perform network exfiltration themselves; however the code explicitly plans to call an LLM (TODO) — if you enable/implement that, the prompt will contain raw message content and would be sent to whatever LLM endpoint is configured. Also note a minor implementation inconsistency: process-and-summarize.js expects config.chats.whitelistGroups, while README examples show whitelistGroups at top-level — this may cause runtime errors or missed filtering unless corrected.
Install Mechanism
No install spec is provided (instruction-only with bundled scripts). This is low-risk from an install perspective — nothing is downloaded or extracted by the skill itself. The only external dependency is the wacli-readonly binary which must already exist on the system.
Credentials
The skill declares no required environment variables or credentials. This is proportional: it relies on a local CLI (wacli-readonly) for WhatsApp access rather than asking for API keys. Note: wacli-readonly itself typically requires its own authentication; that credential management is external to this skill and not requested here.
Persistence & Privilege
The skill does not request forced persistence (always:false) and only writes to its own data directory (${OPENCLAW_WORKDIR:-$HOME/clawd}/thoughtful-data). It doesn't modify other skills or system-wide configs. Agent autonomous invocation is allowed by default but is not combined with elevated privileges here.
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 thoughtful - 安装完成后,直接呼叫该 Skill 的名称或使用
/thoughtful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
v1.2.0
Updated: Enhanced SKILL.md documentation with 3x daily sync schedule, cron setup details, and improved first-time setup flow
v1.1.0
Updated cron schedule to 3x daily (11 AM, 6 PM, 11 PM) with separate sync crons running 30 min before each summary. Improved documentation for better WhatsApp message coverage throughout the day.
v1.0.0
Initial release of Thoughtful: your WhatsApp relationship assistant.
- Tracks pending tasks, commitments, and important dates from your chats.
- Provides emotionally intelligent communication coaching and relationship insights.
- Generates daily, conversational summaries with actionable next steps and conversation starters.
- Interactive, chat-based setup for configuring tracked groups, priority contacts, and summary timing.
- All processing runs securely in a sandbox; no manual file editing required.
- Example summary included to demonstrate key features and summary style.
元数据
常见问题
Thoughtful 是什么?
Your thoughtful companion for WhatsApp - remembers what matters, helps you stay present in your relationships. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1957 次。
如何安装 Thoughtful?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install thoughtful」即可一键安装,无需额外配置。
Thoughtful 是免费的吗?
是的,Thoughtful 完全免费(开源免费),可自由下载、安装和使用。
Thoughtful 支持哪些平台?
Thoughtful 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 Thoughtful?
由 Neil Agarwal(@regalstreak)开发并维护,当前版本 v1.2.0。
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