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Ping Me
by
Yuyang Shen
· GitHub ↗
· v1.0.3
· MIT-0
311
Downloads
1
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0
Active Installs
4
Versions
Install in OpenClaw
/install ping-me
Description
One-shot reminders via natural language. Auto-detects channel and timezone. Say 'remind me...' in any language and get pinged when it's time. Works with ever...
Usage Guidance
This package appears to do exactly what it says: create one‑shot reminders via openclaw cron. Before installing, ensure you trust the OpenClaw runtime that will execute the scripts, and confirm the gateway environment variables (OPENCLAW_SESSION_KEY / OPENCLAW_TO / OPENCLAW_CHANNEL) that the scripts read are safe to expose in your agent environment — those may contain session identifiers. The skill stores its own config.json (contains default channel, 'to' target, tz, emoji) under its baseDir; if you want to restrict persisted data, inspect or relocate that file. If you have concerns about the gateway injecting sensitive tokens into env vars, review how your gateway populates OPENCLAW_SESSION_KEY and OPENCLAW_TO before enabling the skill.
Capability Analysis
Type: OpenClaw Skill
Name: ping-me
Version: 1.0.3
The 'ping-me' skill is a legitimate reminder utility that uses the OpenClaw platform's native cron functionality. The shell scripts (ping-me.sh, ping-me-config.sh, etc.) follow secure coding practices by using Python to handle JSON data via stdin and sys.argv, effectively mitigating shell injection risks. The skill only accesses environment variables provided by the OpenClaw gateway (e.g., $OPENCLAW_CHANNEL) and does not exhibit any signs of data exfiltration, unauthorized network access, or malicious prompt injection.
Capability Assessment
Purpose & Capability
Name/description (reminders) match the included scripts and SKILL.md. The scripts only interact with OpenClaw (cron) and local config.json, which is proportionate to creating/delivering reminders. Required binaries (openclaw, python3) are appropriate.
Instruction Scope
Runtime instructions are narrowly scoped: parse time/message, call local scripts, and confirm. The SKILL.md and scripts reference gateway-provided environment variables (OPENCLAW_CHANNEL, OPENCLAW_TO, OPENCLAW_SESSION_KEY, OPENCLAW_SESSION_CHANNEL) to auto-detect channel/target; this is expected for a multi-channel reminder skill but is worth noting because the skill reads session env vars that may contain identifiers or tokens.
Install Mechanism
No install spec (instruction-only with included scripts). No downloads or archives; all code is contained in the package. Low install risk.
Credentials
The skill does not declare required env vars and requests no API keys. The scripts read gateway env vars (OPENCLAW_TO, OPENCLAW_SESSION_KEY, OPENCLAW_CHANNEL, OPENCLAW_SESSION_CHANNEL, TZ) to determine delivery target and channel. This is coherent with multi-channel delivery, but those env vars can contain session identifiers; users should be comfortable exposing those values to the skill's runtime environment.
Persistence & Privilege
always is false and the skill only writes to its own config.json under baseDir. It does not modify other skills or system-wide agent settings. It uses OpenClaw cron jobs for persistence, which is consistent with its purpose.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ping-me - After installation, invoke the skill by name or use
/ping-me - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
**1.0.3 Summary:** Adds delivery target (`--to`) support for multi-channel compatibility, along with new first-time setup guidance.
- Added `config.json` to persist user/channel/delivery settings.
- SKILL.md updated with instructions for `--to` option to set delivery target (e.g., `qqbot:c2c:<openid>`), resolving multi-channel announce requirements.
- Delivery target auto-detection detailed: via environment variables, session key, or config fallback.
- First-time setup troubleshooting steps included for users needing to configure channel or delivery target.
- No breaking changes to previous command flows; basic usage unchanged for existing channels.
v1.0.2
- Clarified response flow: Call the script first, then confirm with one concise sentence, no preamble or time calculation explanation.
- Removed strict warnings about forbidden/required agent behaviors; replaced with a simpler, user-focused style guide.
- Updated agent instructions and response style section for added clarity and brevity.
- No changes to core functionality or commands; documentation only.
v1.0.1
**ping-me 1.0.1 Changelog**
- Added README.md with detailed usage and instructions.
- Introduced `scripts/ping-me-config.sh` for viewing and changing reminder settings (timezone, channel, emoji, language).
- Improved SKILL.md: clarified that channel and timezone are now auto-detected; updated agent instructions for new config script.
- Users can now interactively view, update, or reset skill settings using the new script.
v1.0.0
ping-me 1.0.0
- Initial release: set one-shot reminders using natural language.
- Supports relative (e.g., "in 3 minutes") and absolute (ISO 8601) time formats.
- Works across multiple chat channels (QQ, Telegram, Discord, WhatsApp, etc.).
- Strict response rules: only one confirmation message after the reminder is set, no pre-reply or reasoning.
- Includes commands to list and cancel reminders.
Metadata
Frequently Asked Questions
What is Ping Me?
One-shot reminders via natural language. Auto-detects channel and timezone. Say 'remind me...' in any language and get pinged when it's time. Works with ever... It is an AI Agent Skill for Claude Code / OpenClaw, with 311 downloads so far.
How do I install Ping Me?
Run "/install ping-me" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ping Me free?
Yes, Ping Me is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ping Me support?
Ping Me is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ping Me?
It is built and maintained by Yuyang Shen (@ethan-shen-individual-lab); the current version is v1.0.3.
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