Agent skill

Reddit Analyzer

by OneWave-AI in OneWave-AI/claude-skills

Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns.

MITAuto-check passed

Install Reddit Analyzer

skills CLI
$ npx skills add OneWave-AI/claude-skills --skill reddit-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install OneWave-AI/claude-skills reddit-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/reddit-analyzer .claude/skills/reddit-analyzer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reddit-analyzer
GitHub stars
328
Token cost
~1.1k tokens
SKILL.md length
386 words
Files
1
Skills in repo
69
Repo updated
First seen
Licence
MIT

At a glance

Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns.

  • Works in 6 steps: Fetch and Parse Thread Data → Analyze Overall Sentiment → Extract Key Arguments → …
  • S want to understand Reddit community opinions
  • SKILL.md covers Instructions, Best Practices and Example Analysis
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reddit Analyzer is an agent skill from OneWave-AI/claude-skills. Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns. Use this when users want to understand Reddit community opinions, analyze discussions, or gather insights from subreddit conversations.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Reddit. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.

When your agent uses it

  • S want to understand Reddit community opinions
  • Analyze discussions
  • Gather insights from subreddit conversations

Example prompts

  • “/reddit-analyzer”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Fetch and Parse Thread Data
  2. Analyze Overall Sentiment
  3. Extract Key Arguments
  4. Find Consensus Points
  5. Identify Controversial Topics
  6. Provide Structured Analysis

What it can do on your machine

Read from SKILL.md and the folder at commit fc5b785. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reddit Analyzer loads about 1.1k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 386 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 386 words, ~1,128 tokens.

Download SKILL.mdSave it as .claude/skills/reddit-analyzer/SKILL.md (or your agent's skills folder).
name
reddit-analyzer
description
Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns. Use this when users want to understand Reddit community opinions, analyze discussions, or gather insights from subreddit conversations.

Reddit Thread Analyzer

Extract deep insights from Reddit discussions including sentiment, key arguments, and community consensus.

Given a Reddit thread URL or a question about Reddit opinions, analyze the discussion comprehensively to surface meaningful patterns and insights.

Instructions

1. Fetch and Parse Thread Data

Use WebFetch to load the Reddit thread and extract:

  • Post title, body, author, score, and timestamp
  • All comments (not just top-level)
  • Comment scores, awards, and timestamps
  • Note verified contributors or expert flair
2. Analyze Overall Sentiment

Determine the dominant sentiment and emotional tone:

  • Overall sentiment: Positive, negative, neutral, or mixed
  • Sentiment distribution: Approximate percentages
  • Emotional tone: Excited, frustrated, skeptical, supportive, angry, enthusiastic
  • Shift over time: Note if sentiment changes throughout discussion
3. Extract Key Arguments

Identify the most impactful points:

Top Arguments in Favor (3-5 points):

  • Quote the argument
  • Note comment score
  • Identify supporting evidence or reasoning

Top Arguments Against (3-5 points):

  • Quote the argument
  • Note comment score
  • Identify counter-points and rebuttals

Expert or Verified Opinions:

  • Highlight comments from verified experts
  • Note OP responses and clarifications
4. Find Consensus Points

Determine what the community agrees on:

  • Points with broad agreement (high scores, no controversy)
  • Emerging patterns across multiple comments
  • Common ground between opposing viewpoints
5. Identify Controversial Topics

Flag heavily debated points:

  • Topics with mixed upvotes/downvotes
  • Arguments that sparked long comment chains
  • Divisive issues where community is split
6. Provide Structured Analysis

Format the analysis clearly:

markdown
# Reddit Analysis: [Thread Title]

## Executive Summary
[2-3 sentence overview of the discussion and main takeaway]

## Overall Sentiment
- **Dominant Sentiment**: Positive/Negative/Neutral/Mixed (X%)
- **Emotional Tone**: [excited/frustrated/skeptical/etc.]
- **Community Alignment**: High/Medium/Low

## Top Arguments

### In Favor
1. **[Main point]** (+XXX score)
   > "[Direct quote from comment]"
   - [Brief explanation of reasoning]

2. **[Main point]** (+XXX score)
   > "[Direct quote]"

### Against
1. **[Main point]** (+XXX score)
   > "[Direct quote]"

## Community Consensus
- [Point most people agree on]
- [Another consensus point]

## Controversial Topics
- [Divisive issue] - Community split roughly 50/50
- [Another debate point]

## Notable Insights
- **Expert Opinion**: [Quote from verified expert] (+XXX)
- **Surprising Take**: [Unexpected perspective that gained traction]
- **Most Helpful**: [Most practical or actionable advice]

## Key Quotes
> "[Memorable quote]" - u/username (+XXX score)
> "[Another impactful quote]" - u/username (+XXX score)

## Discussion Quality
- Civility: High/Medium/Low
- Depth: Superficial/Moderate/Deep
- Evidence-based: Yes/No/Mixed
Show full SKILL.md (156 more words)Show less

Best Practices

  • Focus on highly upvoted comments for consensus
  • Include exact scores to show community agreement level
  • Quote directly rather than paraphrasing
  • Preserve nuance - avoid oversimplifying complex debates
  • Note OP responses - original poster often adds important context
  • Distinguish facts from opinions clearly
  • Highlight constructive vs. unproductive discussions
  • Consider recency - early comments may be less informed than later ones

Example Analysis

User: "What does Reddit think about the new iPhone?"

Analysis steps:

  1. Fetch r/apple or r/iPhone thread
  2. Analyze 300+ comments
  3. Determine sentiment: Mixed (55% positive, 45% negative)
  4. Extract top pros: Camera improvements (+450), Performance (+380)
  5. Extract top cons: High price (+420), Incremental updates (+390)
  6. Note consensus: Good phone, but expensive for what you get
  7. Identify controversy: Whether it's worth upgrading from iPhone 14
  8. Surface expert opinions from tech reviewers
  9. Deliver structured report with quotes and scores

Remember: Focus on substance over noise. Prioritize well-reasoned arguments over emotional reactions.

© OneWave-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in reddit-analyzer of OneWave-AI/claude-skills.

Open the folder on GitHubat commit fc5b785

Compare with similar skills

Reddit Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reddit Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reddit Analyzer this skillOneWave-AI/claude-skills328—~1.1kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach94k—~1.4kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Customer ResearchNexus-JPF/note-companion8706 repos~3.2kAutomated safety check: PassMIT
Last30days CnJesseovo/last30days-skill-cn1.9k—~2.4kAutomated safety check: NotesMIT
Reddit JSON Fetcherykdojo/claude-code-tips10k—~1.4kAutomated safety check: PassCustom licence

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Works with

Questions about Reddit Analyzer

What does Reddit Analyzer do?

Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns. Reddit Analyzer is an agent skill from OneWave-AI/claude-skills. Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns.

When should I use Reddit Analyzer?

Reddit Analyzer fits situations like: S want to understand Reddit community opinions; analyze discussions; gather insights from subreddit conversations.

How do I install Reddit Analyzer in Claude Code?

Run `npx skills add OneWave-AI/claude-skills --skill reddit-analyzer -a claude-code`. Or copy the skill folder (reddit-analyzer in OneWave-AI/claude-skills) into .claude/skills/reddit-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Reddit Analyzer in Codex?

Run `npx skills add OneWave-AI/claude-skills --skill reddit-analyzer -a codex`. Or copy the skill folder (reddit-analyzer in OneWave-AI/claude-skills) into .agents/skills/reddit-analyzer in your project. Codex loads it when a task matches its description.

Can I use Reddit Analyzer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OneWave-AI/claude-skills --skill reddit-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reddit-analyzer, .gemini/skills/reddit-analyzer, .github/skills/reddit-analyzer and .opencode/skills/reddit-analyzer in your project.

What does Reddit Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Reddit Analyzer is instructions for the agent only.

Does Reddit Analyzer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Reddit Analyzer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Reddit Analyzer use?

Reddit Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reddit Analyzer use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reddit Analyzer?

Skills that share tags, products or a category with Reddit Analyzer: Agent Reach (Panniantong/Agent-Reach, 94k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Customer Research (Nexus-JPF/note-companion, 870 stars) and Last30days Cn (Jesseovo/last30days-skill-cn, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reddit Analyzer?

OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 328 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.

Source: OneWave-AI/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.