Reddit Subreddit Sentiment Tracker
Uses the Reddit OAuth2 API via PRAW to collect top posts and comments from subreddits on a rolling 24-hour window, then runs batch sentiment scoring via HuggingFace Inference API using twitter-roberta-base-sentiment. Aggregates scores into a daily time-series written to Google Sh
What it does
Reddit Subreddit Sentiment Tracker
Uses the Reddit OAuth2 API via PRAW to collect top posts and comments from subreddits on a rolling 24-hour window, then runs batch sentiment scoring via HuggingFace Inference API using twitter-roberta-base-sentiment. Aggregates scores into a daily time-series written to Google Sheets for Looker Studio visualization. Fires Slack alerts when sentiment drops more than 20 points week-over-week.
Installation
Requirements and caveats from upstream:
- A modhash is a token that the reddit API requires to help prevent
- with new images. If only the permissions on an emoji require updating
- Requires a string 'flair_csv' which has up to 100 lines of the form
Basic usage or getting-started notes:
-
example, t3_15bfi0 .
-
for posts. For example, casual conversation may be better sorted by new
-
example by creating a text field in their app that does not allow
-
Source: https://www.reddit.com/dev/api/
Documentation
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,111 chars)