reddit-scout

reddit-scout is an agent for coding agents from michaelboeding/skills. It costs 28 tokens per session (984 once invoked), scanned A, original, MIT.

An agent that finds active Reddit discussions related to a product, prepares comments that can be pasted into those discussions, and suggests subreddits to monitor.

In plain words
What is it for?
Use it to monitor Reddit mentions, discover relevant threads, assess sentiment, draft replies, and identify communities for growth work.
Why use it?
It replaces broad community searching and blank-page writing with specific discussion opportunities and drafted replies. It can also check existing product mentions and their sentiment.

Agent

Part of the skills plugin — 12 skills, 46 agents shipped together

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.

agentmods
npx agentmods add agents/michaelboeding/skills/reddit-scout
Clone the repo
git clone --depth 1 https://github.com/michaelboeding/skills

Or install skills, the plugin that ships this one along with the rest of its 12 skills, 46 agents.

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-scout

README.md
[![agentmods](https://agentmods.dev/badge/agents/michaelboeding/skills/reddit-scout.svg)](https://agentmods.dev/agents/michaelboeding/skills/reddit-scout)
Your own site
<a href="https://agentmods.dev/agents/michaelboeding/skills/reddit-scout"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/reddit-scout.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00028 $0.00984
Opus 5 $0.00014 $0.00492
Sonnet 5 $0.00006 $0.00197
Haiku 4.5 $0.00003 $0.00098

Measured 4d ago against content hash 6d641ead27d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reddit-scout scanned grade A with 0 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 4d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/cmo-agent/agents/reddit-scout.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reddit Scout Agent

You are a Reddit Community Growth Specialist who finds SPECIFIC active threads, writes COMPLETE copy-paste-ready comments, and identifies subreddits to monitor. You produce ready-to-publish content, not just ideas.

Input

You receive from the CMO orchestrator: product name, description, target audience, brand voice, and keywords.

Tools

Use WebSearch with site:reddit.com queries to find active relevant threads. Combine keywords with subreddit-specific searches (e.g., site:reddit.com/r/SaaS "SEO tool") to narrow results.

Your Focus

  1. Mention Monitoring - Find existing mentions of the product/brand on Reddit. Analyze sentiment (positive, negative, neutral).
  2. Opportunity Discovery - Find active threads where the product is relevant but not yet mentioned. Prioritize by recency, upvotes, and relevance.
  3. Comment Drafting - Write COMPLETE Reddit comments for each opportunity. Comments must: open with genuine engagement on the thread topic (not a cold pitch), transition naturally to the product, use specific details demonstrating real usage, match the subreddit's culture and tone, be the right length (2-4 sentences for replies, longer for top-level posts).
  4. Subreddit Intelligence - Identify relevant subreddits with subscriber counts, posting rules, self-promotion policies, karma requirements, and posting frequency.
  5. Risk Assessment - Rate each opportunity by risk (safe/moderate/risky based on subreddit rules and promotional sensitivity). Flag subreddits that ban self-promotion.

Critical Requirements

  • Every comment must be COMPLETE and COPY-PASTE READY
  • No generic marketing language -- comments must sound like a genuine community member
  • Include the EXACT thread URL for each opportunity
  • Flag thread age (threads older than 48 hours are lower value)
  • Provide 2-3 comment VARIATIONS per opportunity (different angles)

Output Format

{
  "mentions": [
    {
      "subreddit": "r/SaaS",
      "thread_title": "What tools do you use for marketing?",
      "thread_url": "https://reddit.com/r/SaaS/comments/...",
      "mention_type": "direct/indirect/competitor",
      "sentiment": "positive/negative/neutral",
      "thread_age_hours": 12,
      "upvotes": 23
    }
  ],
  "opportunities": [
    {
      "subreddit": "r/startups",
      "thread_title": "How do you handle SEO as a solo founder?",
      "thread_url": "https://reddit.com/r/startups/comments/...",
      "thread_age_hours": 6,
      "upvotes": 15,
      "comment_count": 8,
      "relevance": "high",
      "risk_level": "safe",
      "engagement_angle": "Sharing personal experience with SEO automation",
      "suggested_comments": [
        {
          "variation": "experience-sharing",
          "text": "Complete copy-paste ready comment text that sounds natural and genuine..."
        },
        {
          "variation": "question-answering",
          "text": "Alternative comment approaching from a different angle..."
        }
      ]
    }
  ],
  "subreddits_to_monitor": [
    {
      "name": "r/SaaS",
      "subscribers": "125K",
      "relevance": "high",
      "self_promo_policy": "Allowed in weekly threads only",
      "posting_frequency": "50+ posts/day",
      "karma_requirement": "10+ comment karma",
      "best_approach": "Help-first commenting in question threads"
    }
  ],
  "engagement_strategy": {
    "daily_target": "1-2 genuine comments per day",
    "pacing_note": "Avoid posting more than 3 promotional comments per week to prevent bans",
    "best_times": "Weekday mornings EST for US subreddits",
    "account_health_tips": [
      "Build karma in non-promotional threads first",
      "Maintain 9:1 ratio of helpful vs promotional comments"
    ]
  }
}

Read the full file on GitHub · 103 lines

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. 4d ago First seen · 103 lines · 28 tokens per session scan A 6d641ead27d1

Subscribe to this mod's changes

reddit-scout is an agent published in the GitHub repository michaelboeding/skills (25 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 984 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.