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Reddit

Organization
unifapi-agent
reddit

When a workflow needs public Reddit data through UnifAPI — subreddit profiles and rules, thread comment trees, user activity and karma, the home/news/popular feeds, or trending searches. Also use on "research this subreddit," "what does r/... discuss," "pull this Reddit thread," "Reddit user activity," or when another skill (community research, social listening, customer research) needs the deterministic Reddit read path. Reddit has no keyword search — discovery is seed-driven. Connect via the `unifapi` skill first. Read-only research, never posts.

Overview

Publisherunifapi-agent
Repositoryagents
Skill namereddit
Stars
590
Forks
115
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by unifapi-agent on GitHub. Read the source before you install it.

Installation

Install the Reddit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/unifapi-agent/agents/tree/main/skills/reddit-agent/reddit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/unifapi-agent/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/skills/reddit-agent/reddit .claude/skills/reddit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reddit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Reddit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Reddit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

reddit

The deterministic read path for public Reddit data through UnifAPI. This is a Data Skill: it does not run a marketing job on its own — it names the concrete reddit/... operations, response shapes, and the real coverage limits so any community-first workflow (social listening, voice-of-customer) reads from one known, honest recipe instead of rediscovering the surface each time.

Read-only — eyes, not hands. It researches public Reddit data and returns cited records; it never posts, comments, or votes, and UnifAPI never holds Reddit credentials.

Use the unifapi skill for live evidence

Connect once through the shared unifapi skill (OAuth MCP), then call the operations below. Reddit's public surface has no keyword search, so discovery is seed-driven — say so in the output. Keep any billing metadata so the output can state record cost.

Response contract

Single-entity endpoints return the object in data:

json
{
  "request_id": "unif_...",
  "data": {},
  "billing": { "records_charged": 1, "balance_remaining": 99 }
}

List endpoints return an array in data plus pagination:

json
{
  "request_id": "unif_...",
  "data": [],
  "pagination": { "has_more": false, "next_cursor": null },
  "billing": { "records_charged": 1 }
}

When pagination.has_more is true, pass pagination.next_cursor as the next request's cursor. Always preserve billing when reporting cost.

Core operations

NeedOperation
Subreddit profile + rulesreddit/subreddits/{name}
Discover threadsreddit/feed/popular · reddit/feed/news · reddit/feed/home
Trending searchesreddit/trending-searches
Post by idreddit/posts/{id}
Comment tree on a threadreddit/posts/{id}/comments
User profile + karmareddit/users/{username}
User posts / commentsreddit/users/{username}/posts · .../comments

Need a field not listed here? Use the unifapi skill's get_operation to read the exact schema before calling — but pick the operation from this table, don't discover blind.

Workflow

The deterministic recipes. Pick the one that matches the job; each names exactly what to call.

  1. Seed the communities. Reddit has no keyword search, so name the subreddits the audience lives in and call reddit/subreddits/{name} for subscribers_count, active_count, is_nsfw, and the rules in description.
  2. Discover threads. Scan reddit/feed/popular, reddit/feed/news, and reddit/feed/home, plus reddit/trending-searches, and keep the posts whose subreddit field matches your seeds — that is how you find community threads without a per-subreddit feed.
  3. Mine a thread. With a post id, call reddit/posts/{id} for the post and reddit/posts/{id}/comments for the comment tree; capture the upvoted (score) verbatim language. Page via next_cursor.
  4. Track power users. Call reddit/users/{username} for karma, then .../posts and .../comments for what an active member contributes across the niche.
  5. Flag outreach safety. Read each subreddit's rules from description and is_nsfw before suggesting any participation.
  6. Cite everything. Every quote ties back to its thread or comment; state plainly that coverage is seed-driven, not exhaustive, and report billing.records_charged.

Shape notes

  • RedditSubreddit — keyed by {name}. subscribers_count, active_count, is_nsfw, description (carries rules), prefixed_name (r/...).
  • RedditPost — title, url, text, created_at, subreddit, is_stickied, is_locked, is_nsfw. Use the subreddit field to filter feed results back to a community.
  • RedditComment — text, score (upvotes), author_name, is_locked.
  • RedditUser — name, karma_total, karma_from_posts, karma_from_comments, is_verified, is_employee.

Gotchas

  • No keyword search. You cannot query Reddit by term — discovery comes from the global feed/* endpoints, trending-searches, and the subreddits/users you already name. Say so in the brief.
  • No per-subreddit post feed. reddit/subreddits/{name} returns the profile and rules only; to read a community's threads, filter the global feeds by the subreddit field, start from a known post id, or read active users' posts.
  • A low balance can silently truncate list pages: check billing.truncated_due_to_balance — when true the page is partial.

Output

Return the records the calling workflow needs, each cited to its thread or comment, plus a one-line cost note (records_charged). When this skill is used directly, a compact community brief is the default:

markdown
**r/{subreddit}** — {subscribers} subscribers, {active} active. Recurring questions: {themes}. Verbatim: "{quote}" ({score} upvotes). Outreach rules: {note}. Coverage: seed-driven. Evidence: {URLs}. Records: ~{N}.

Related skills

  • reddit-community-research (Lead & Company Research) — turns this read path into a structured community map.
  • social-listening-brief (Social Listening), customer-research — listening and voice-of-customer work on top of Reddit reads.
  • unifapi — the shared data skill: connect MCP and look up exact schemas with get_operation.

Frequently asked questions

What does the Reddit AI skill do?

When a workflow needs public Reddit data through UnifAPI — subreddit profiles and rules, thread comment trees, user activity and karma, the home/news/popular feeds, or trending searches. Also use on "research this subreddit," "what does r/... discuss," "pull this Reddit thread," "Reddit user activity," or when another skill (community research, social listening, customer research) needs the deterministic Reddit read path. Reddit has no keyword search — discovery is seed-driven. Connect via the `unifapi` skill first. Read-only research, never posts.

Why use Reddit on TypingMind?

Because you install it once and use it with any model. Reddit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Reddit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/unifapi-agent/agents/tree/main/skills/reddit-agent/reddit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reddit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Reddit?

As many as you like. As long as a model supports skills, you can use Reddit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reddit AI skill free?

Yes. It is published on GitHub by unifapi-agent under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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