reddit-research

reddit-research is a skill for Claude Code, Codex from Aditya923-c/xpoz-agent-skills. It costs 58 tokens per session (2,901 once invoked), scanned A, original, MIT.

A workflow for searching and analysing Reddit discussions about a topic, product, or market. It extracts opinions, recurring problems, product feedback, and overall community sentiment.

In plain words
What is it for?
Use it for Reddit market research, product feedback, subreddit analysis, or finding what communities think about a tool, service, or topic.
Why use it?
It makes it easier to learn from Reddit without manually reading many scattered discussions or needing Reddit API keys. The results are organised around themes and user concerns.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: reads .claude/ paths; mentions Claude Code; built for openclaw.

Good fit Use it for Reddit market research, product feedback, subreddit analysis, or finding what communities think about a tool, service, or topic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aditya923-c/xpoz-agent-skills/reddit-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Aditya923-c/xpoz-agent-skills --skill reddit-research
Clone the repo
git clone --depth 1 https://github.com/Aditya923-c/xpoz-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for reddit-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/aditya923-c/xpoz-agent-skills/reddit-research/github.svg)](https://agentmods.dev/skills/aditya923-c/xpoz-agent-skills/reddit-research)
Your own site
<a href="https://agentmods.dev/skills/aditya923-c/xpoz-agent-skills/reddit-research"><img src="https://agentmods.dev/badge/skills/aditya923-c/xpoz-agent-skills/reddit-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for reddit-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/aditya923-c/xpoz-agent-skills/reddit-research"><img src="https://agentmods.dev/badge/skills/aditya923-c/xpoz-agent-skills/reddit-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,901 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.02901
Opus 5 $0.00029 $0.01451
Sonnet 5 $0.00012 $0.00580
Haiku 4.5 $0.00006 $0.00290

Measured 12d ago against content hash 8a6a97c7c1b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

reddit-research scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import secrets, hashlib, base64, urllib.parse, json, urllib.request, os

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run(['mcporter', 'config', 'remove', 'xpoz'], capture_output=True)
skills/reddit-research/SKILL.md · 382 lines

How it starts

The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reddit Research

Overview

Search and analyze Reddit discussions across all subreddits. Extract community opinions, identify pain points, discover product feedback, and understand market sentiment — all without Reddit API keys.

When to Use

Activate when the user asks:

  • "What does Reddit think about [PRODUCT]?"
  • "Search Reddit for [TOPIC]"
  • "What are people saying about [BRAND] on Reddit?"
  • "Reddit feedback on [TOOL/SERVICE]"
  • "Find Reddit discussions about [TOPIC]"
  • "Market research on Reddit for [INDUSTRY]"

Setup & Authentication

Before fetching data, ensure Xpoz access is configured. Follow these checks in order.

Check 1: Already authenticated?

If you have MCP tools, try calling any Xpoz tool (e.g., checkAccessKeyStatus). If it works → skip to Step 1.

If you have the SDK, try:

from xpoz import XpozClient
client = XpozClient()  # reads XPOZ_API_KEY env var

If this succeeds without error → skip to Step 1.

If neither works, you need to authenticate. Choose the path that fits your environment:


Path A: MCP via mcporter (OpenClaw agents)

If mcporter is available:

mcporter call xpoz.checkAccessKeyStatus

If hasAccessKey: true → ready. If not:

mcporter config add xpoz https://mcp.xpoz.ai/mcp --auth oauth

Then authenticate — generate the OAuth URL and send it to the user:

Step 1: Generate authorization URL

import secrets, hashlib, base64, urllib.parse, json, urllib.request, os

verifier = secrets.token_urlsafe(64)
challenge = base64.urlsafe_b64encode(hashlib.sha256(verifier.encode()).digest()).rstrip(b'=').decode()
state = secrets.token_urlsafe(32)

# Dynamic client registration
reg_req = urllib.request.Request(
    'https://mcp.xpoz.ai/oauth/register',
    data=json.dumps({
        'client_name': 'Agent Skills',
        'redirect_uris': ['https://www.xpoz.ai/oauth/openclaw'],
        'grant_types': ['authorization_code'],
        'response_types': ['code'],
        'token_endpoint_auth_method': 'none',
    }).encode(),
    headers={'Content-Type': 'application/json'},
)
reg_resp = json.loads(urllib.request.urlopen(reg_req).read())

params = urllib.parse.urlencode({
    'response_type': 'code',
    'client_id': reg_resp['client_id'],
    'code_challenge': challenge,
    'code_challenge_method': 'S256',
    'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw',
    'state': state,
    'scope': 'mcp:tools',
    'resource': 'https://mcp.xpoz.ai/',
})

auth_url = 'https://mcp.xpoz.ai/oauth/authorize?' + params

# Save state for token exchange
os.makedirs(os.path.expanduser('~/.cache/xpoz-oauth'), exist_ok=True)
with open(os.path.expanduser('~/.cache/xpoz-oauth/state.json'), 'w') as f:
    json.dump({'verifier': verifier, 'state': state, 'client_id': reg_resp['client_id'],
               'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw'}, f)

print(auth_url)

Read the full file on GitHub · 382 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 382 lines · 58 tokens per session scan A 8a6a97c7c1b4

Subscribe to this mod's changes

reddit-research is a skill published in the GitHub repository Aditya923-c/xpoz-agent-skills (5 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 2,901 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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