search-reddit
Search Reddit in real time using OpenAI web_search with enrichment (engagement + top comments). Use when you need recent Reddit threads, subreddit-filtered results, or quick link lists.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/arkaydeus/search-redditWhat This Skill Does
The search-reddit skill is a powerful, real-time research tool for the OpenClaw AI agent, allowing it to interface directly with Reddit's vast repository of community-driven information. Unlike basic search tools, this skill leverages OpenAI's web_search capabilities specifically optimized for the reddit.com domain. Once a search is initiated, the skill doesn't just return links; it performs deep enrichment by accessing the Reddit JSON API for individual threads, extracting critical data points such as post scores, timestamped creation metadata, and curated excerpts from top comments. This provides the AI with nuanced, context-aware information rather than just a list of headers. By automating the parsing of Reddit discussions, it helps agents synthesize public sentiment, track niche technological developments, or find troubleshooting advice from specific subreddits.
Installation
To integrate this skill, ensure you have the OpenClaw CLI configured. Installation is handled via the centralized skill repository:
- Run the command:
clawhub install openclaw/skills/skills/arkaydeus/search-reddit - Authenticate your OpenAI access by setting the API key. You can do this globally for all skills or specifically for this plugin:
clawdbot config set skills.entries.search-reddit.apiKey "sk-YOUR-KEY"- Alternatively, define
OPENAI_API_KEYas an environment variable in your shell profile.
Use Cases
This skill is ideal for:
- Technical Research: Quickly finding community-verified solutions to developer bugs or software architecture questions.
- Trend Analysis: Monitoring sentiment on new AI releases, crypto, or tech news by filtering for recent threads.
- Subreddit Deep-Dives: Isolating professional discussions within focused communities (e.g., r/machinelearning) while ignoring noise.
- Data Collection: Generating structured lists of Reddit discussions for further analysis or report compilation.
Example Prompts
- "Search Reddit for what the community is saying about the latest Claude Code updates from the last 3 days."
- "Find high-engagement discussions in r/OpenAI about agentic workflows, excluding any threads containing the word 'bot'."
- "Give me a list of Reddit links regarding the new Kimi K2.5 model and summarize the most upvoted comment from each."
Tips & Limitations
- Precision: Use the
--subredditsflag to significantly reduce noise and improve relevance in your searches. - Performance: Keep in mind that deep-enrichment (fetching comments) takes more time than a standard search; if you need speed, use the
--compactor--links-onlyoutput options. - Rate Limiting: As this relies on external API calls to both OpenAI and Reddit, excessive parallel requests may trigger rate limits. Adjust
SEARCH_REDDIT_DAYSin your config to limit the volume of historical data pulled per search.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-arkaydeus-search-reddit": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api