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Trend Watcher
by
guogang1024
· GitHub ↗
· v1.0.1
6660
Downloads
7
Stars
54
Active Installs
2
Versions
Install in OpenClaw
/install trend-watcher
Description
Monitors GitHub Trending and tech communities to track and analyze emerging tools in CLI, AI/ML, automation, and developer categories.
Usage Guidance
Safe to install for monitoring public GitHub trends, with the caveat that saved bookmarks may persist in a fixed local workspace file and public repository descriptions should be treated as informational, not trusted instructions.
Capability Analysis
Type: OpenClaw Skill
Name: trend-watcher
Version: 1.0.1
The skill bundle is benign. The `index.js` script makes legitimate HTTPS requests to `github.com/trending` to fetch repository data, which is the core functionality. It also performs local file I/O (read/write) to `trend-bookmarks.md` within the `/home/vken/.openclaw/workspace` directory for bookmark management, aligning with the stated purpose. No evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts in `SKILL.md` was found. The network and file system access are well-scoped to the skill's advertised features.
Capability Assessment
Purpose & Capability
The implemented behavior matches the trend-watching purpose: it fetches GitHub Trending pages, parses repository metadata, filters categories, and prints reports. Documentation mentions Feishu and daily memory integrations, but the reviewed code does not implement those external writes.
Instruction Scope
Repository descriptions fetched from GitHub are printed into reports, so downstream agents should treat that public text as untrusted content rather than instructions.
Install Mechanism
The bundle contains only SKILL.md and index.js, with no package install script, postinstall behavior, child process execution, eval, or elevated setup path. Static scan and VirusTotal telemetry were clean.
Credentials
Network access is limited to github.com/trending, which is proportionate to the advertised functionality. No tokens, local auth stores, environment secrets, or profile/session data are read.
Persistence & Privilege
Bookmark persistence is purpose-aligned but uses a hard-coded local workspace path, /home/vken/.openclaw/workspace/trend-bookmarks.md, and the CLI documentation does not accurately describe that path or the implemented bookmark option.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trend-watcher - After installation, invoke the skill by name or use
/trend-watcher - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Version 1.0.1 Changelog
- No file changes detected in this release.
- All features, usage instructions, and integrations remain unchanged.
v1.0.0
Initial release of Trend Watcher Tool.
- Monitors GitHub Trending repositories with filters for language, period, and category.
- Identifies emerging patterns and technologies in developer communities.
- Allows bookmarking of interesting projects for later review.
- Generates various trend reports for self-improvement and tracking.
- Integrates with GitHub Trending API, Feishu for documentation, and daily/project bookmark systems.
Metadata
Frequently Asked Questions
What is Trend Watcher?
Monitors GitHub Trending and tech communities to track and analyze emerging tools in CLI, AI/ML, automation, and developer categories. It is an AI Agent Skill for Claude Code / OpenClaw, with 6660 downloads so far.
How do I install Trend Watcher?
Run "/install trend-watcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trend Watcher free?
Yes, Trend Watcher is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Trend Watcher support?
Trend Watcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trend Watcher?
It is built and maintained by guogang1024 (@guogang1024); the current version is v1.0.1.
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