| name | reddit-scout |
| description | Finds high-value Reddit threads where your product is genuinely relevant. Uses Firecrawl to search Reddit, evaluates threads for engagement potential, and delivers actionable opportunities with draft replies. Designed for organic, value-first community engagement โ not spam. |
| homepage | https://github.com/openclaw/reddit-scout |
| user-invocable | true |
| disable-model-invocation | false |
| metadata | {"clawdbot":{"requires":{"bins":["firecrawl"]}}} |
Reddit Scout
Find Reddit threads where your product actually belongs in the conversation.
Philosophy
This is NOT a spam tool. Reddit communities despise self-promotion. This skill finds threads where:
- Someone has a genuine problem your product solves
- The conversation naturally leads to your product category
- You can provide real value FIRST, product mention SECOND
The 90/10 rule: 90% of your Reddit activity should be pure value. This skill helps you find the 10% where a product mention is genuinely helpful.
How It Works
- Search โ Uses Firecrawl to search Reddit for keyword matches across configured subreddits
- Evaluate โ Scores each thread on relevance, recency, engagement potential, and fit
- Report โ Delivers a ranked list of opportunities with context
- Draft โ Optionally suggests value-first reply angles (never copy-paste spam)
Invocation
Say any of these:
- "scout reddit" / "reddit scout"
- "find reddit threads"
- "check reddit for opportunities"
- "reddit scan"
Options (in natural language)
- Quick scan: Search top 3 subreddits, last 24h only
- Deep scan: All configured subreddits, last 7 days
- Topic focus: "scout reddit for [specific topic]" โ override keywords with a custom search
- With drafts: "scout reddit with draft replies" โ include suggested reply angles
Execution Steps
Step 1: Load Configuration
Read config.json from this skill's directory. It contains:
product: What you're promoting (name, one-liner, URL)
keywords: Search terms grouped by language/theme
subreddits: Target communities
persona: How to engage (tone, do's and don'ts)
Step 2: Search Reddit via Firecrawl
For each keyword group, search Reddit:
firecrawl search "site:reddit.com r/{subreddit} {keyword}" --scrape --limit 5 --tbs qdr:w --json -o {output_path}
Important:
- Use
--tbs qdr:d for quick scan (last 24h), --tbs qdr:w for deep scan (last week)
- Rotate through keyword groups to avoid redundancy
- Save raw results to
data/scan-{date}.json
Step 3: Evaluate Each Thread
For each result, score on these criteria:
| Criteria | Weight | What to Look For |
|---|
| Relevance | 30% | Does the thread topic directly relate to what the product does? |
| Intent | 25% | Is someone actively looking for a solution? ("looking for", "any recommendations", "how do you") |
| Recency | 20% | Posted in last 24h (best) to 7d (acceptable). Older = skip. |
| Engagement | 15% | 5-50 comments = sweet spot. 0 comments = dead. 500+ = buried. |
| Fit | 10% | Can you reply with genuine value WITHOUT mentioning the product? |
Score each thread 1-10. Only report threads scoring 6+.
Step 4: Check Against Seen Threads
Load data/seen.json โ skip any thread URL already reported. After reporting, save new URLs to seen.json. Keep last 500 entries max.
Step 5: Deliver Report
Format the report for the current channel. For each qualifying thread:
๐ Reddit Scout โ {N} opportunities found
โโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ r/{subreddit} ยท Score: {score}/10
"{Thread title}"
๐ฌ {comments} comments ยท โฐ {time_ago}
๐ Matched: {keyword}
๐ Context: {1-2 sentence summary of what OP is asking/discussing}
๐ก Angle: {Suggested value-first approach โ what genuine help you can offer}
โ {url}
โโโโโโโโโโโโโโโโโโโโโโโโโโโ
Step 6 (Optional): Draft Replies
If user requested drafts, generate a reply for each thread following the engagement guide in templates/engagement-guide.md. The draft should:
- Open with value โ answer the question or share relevant experience
- Be specific โ reference details from the thread
- Mention product naturally โ only if genuinely relevant, as one option among others
- Never sound corporate โ write like a real Reddit user
Configuration
All config lives in config.json. Here's the structure:
{
"product": {
"name": "Your Product",
"one_liner": "What it does in one sentence",
"url": "https://yourproduct.com",
"category": "The product category (e.g., 'design tool', 'project management')",
"solves": ["problem 1", "problem 2", "problem 3"]
},
"keywords": {
"direct": ["keyword matching your product directly"],
"problems": ["pain points your users have"],
"competitors": ["competitor alternative", "competitor vs"],
"localized": ["keywords in other languages if applicable"]
},
"subreddits": ["sub1", "sub2", "sub3"],
"persona": {
"tone": "casual-helpful",
"never": ["hard sell", "copy-paste", "multiple links", "fake testimonials"],
"always": ["answer the question first", "share personal experience", "acknowledge alternatives"]
},
"settings": {
"max_results_per_keyword": 5,
"min_score": 6,
"scan_depth": "week",
"languages": ["en", "fr"]
}
}
Anti-Spam Safeguards
This skill enforces several rules to prevent misuse:
- Cooldown: Will not suggest engaging in the same subreddit more than 2x per scan
- Dedup: Tracks seen threads to avoid re-reporting
- Quality gate: Only surfaces threads scoring 6+ on the evaluation rubric
- No auto-posting: This skill FINDS opportunities. A human decides whether and how to engage.
- Value-first: Draft replies always lead with genuine help, never with a sales pitch
Data Files
config.json โ User configuration (product, keywords, subreddits)
data/seen.json โ Already-reported thread URLs (auto-maintained)
data/scan-{YYYY-MM-DD}.json โ Raw Firecrawl results (auto-cleaned after 7 days)
templates/engagement-guide.md โ Reply guidelines and examples
Scheduling
To run daily at 9:00 AM:
clawdbot cron add \
--name "Reddit Scout Daily" \
--cron "0 9 * * 1-5" \
--tz "Europe/Paris" \
--session isolated \
--message "reddit scout quick scan" \
--deliver \
--channel telegram
For a deep scan on Mondays:
clawdbot cron add \
--name "Reddit Scout Weekly Deep" \
--cron "0 9 * * 1" \
--tz "Europe/Paris" \
--session isolated \
--message "reddit scout deep scan with draft replies" \
--deliver \
--channel telegram
License
MIT โ Use it, fork it, improve it.