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BytesAgain β€Ί Skills β€Ί Reddit Explore
πŸ¦€ ClawHub

Reddit Explore

by @netmsglog

This skill should be used when the user asks to "search Reddit", "explore Reddit posts", "find Reddit discussions about", "summarize Reddit opinions on", "what does Reddit think about", or wants to gather and summarize community opinions from Reddit on a specific topic.

Versionv0.0.3
Downloads1,948
#social-media#legal#gaming
TERMINAL
clawhub install reddit-explore

πŸ“– About This Skill

name: reddit-explore description: | This skill should be used when the user asks to "search Reddit", "explore Reddit posts", "find Reddit discussions about", "summarize Reddit opinions on", "what does Reddit think about", or wants to gather and summarize community opinions from Reddit on a specific topic. disable-model-invocation: true metadata: { "openclaw": { "emoji": "πŸ”", "requires": { "bins": ["python3"], "env": ["APIFY_TOKEN"] }, "primaryEnv": "APIFY_TOKEN", }, }

Reddit Explore

Search Reddit for posts on any topic using the Apify trudax/reddit-scraper-lite actor and produce a structured summary of community sentiment.

Prerequisites

Before running, verify:

1. apify-client is installed: pip3 install apify-client 2. APIFY_TOKEN is set as an environment variable

If either is missing, refer the user to references/apify-setup.md in this skill's directory for setup instructions.

Workflow

Step 1: Determine the search topic

The search topic comes from $ARGUMENTS. If $ARGUMENTS is empty or missing, ask the user what topic they want to search Reddit for.

Step 2: Run the Reddit search script

Execute the search script with the user's topic:

python3 ~/.agents/skills/reddit-explore/scripts/reddit_search.py --query "$ARGUMENTS" --max-items 30

The script outputs JSON results to stdout. If it fails:

  • "APIFY_TOKEN not found": Guide the user through setting up their token (see references/apify-setup.md)
  • "apify-client not installed": Run pip3 install apify-client
  • Other errors: Show the error message and help troubleshoot

    • Step 3: Analyze and summarize results

    Read the JSON output. Each item contains:

  • title - Post title
  • communityName - Subreddit name
  • upVotes - Score
  • numberOfComments - Comment count
  • url - Link to the post
  • body - Post text content
  • createdAt - When it was posted

    • Step 4: Produce a structured summary

    Present findings in this format:

    #### Overview Brief 2-3 sentence summary of what Reddit thinks about the topic.

    #### Community Sentiment

  • Overall tone: Positive / Mixed / Negative
  • Key subreddits: List the most active communities discussing this

    • #### Key Themes

    Positives / Pros:

  • Bullet points of praised aspects, with post references

    • Negatives / Cons:

  • Bullet points of criticized aspects, with post references

    • Neutral / Informational:

  • Notable factual observations from the community

    • #### Notable Posts List 3-5 of the most relevant/upvoted posts with:

  • Title, subreddit, score
  • Brief summary of the post content
  • Link to the post

    • #### Summary A concise takeaway of the community consensus.

    Tips

  • For broad topics, the script searches with the exact query provided. If results are sparse, suggest the user try alternative phrasings.
  • Posts are sorted by relevance by default.
  • The script deduplicates results by URL automatically.
  • Apify free tier provides $5/month in credits; each search typically costs a few cents.

    • βš™οΈ Configuration

    Before running, verify:

    1. apify-client is installed: pip3 install apify-client 2. APIFY_TOKEN is set as an environment variable

    If either is missing, refer the user to references/apify-setup.md in this skill's directory for setup instructions.

    πŸ“‹ Tips & Best Practices

  • For broad topics, the script searches with the exact query provided. If results are sparse, suggest the user try alternative phrasings.
  • Posts are sorted by relevance by default.
  • The script deduplicates results by URL automatically.
  • Apify free tier provides $5/month in credits; each search typically costs a few cents.