Skill107 starsChanged 5 months agoMITView on GitHub
Research Reddit discussions with high signal using reddit_leads_scrape and reddit_scrape — pain points, intent discovery, and trend tracking. Use when the user wants to mine subreddits for leads, find threads worth replying to, or track what a community says about a topic.
We split this skill into the rules it gives an agent
12 rules. 0 are common, 8 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 25 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
Use these tools in this order for research quality:
- Distinctive: line 38
Every tool in this skill is named by its canonical tool name.
- Very specific: line 46
If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit.
- Distinctive: line 52
Start with focused keyword + subreddit pairs:
- Distinctive: line 61
Use 1-3 specific keywords first.
- Distinctive: line 65
If precision results are too narrow:
- Very specific: line 67
run reddit_scrape with subreddit start_urls
- Very specific: line 68
add adjacent keyword variants in searches
- Very specific: line 70
keep skip_comments=true when only post-level signal is needed
- Distinctive: line 74
Prefer scoped subreddits before global search.
- Distinctive: line 77
If results are sparse, widen subreddits and add semantically related keywords.
- Distinctive: line 89
Do not return unfiltered dumps.
“Common” is measured: kept by at least 6 in 10 of the 25 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Reddit Research
Use these tools in this order for research quality:
Requirements
- Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
- Reddit scraper toolkit enabled at https://app.hyperfx.ai/apps.
reddit_leads_scrape(precision first)reddit_scrape(expand recall second)
How to run the tools in this skill
Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:
| Surface | Find a tool | Run it |
| Hyper chat | Call the tool by its name; search_tools(queries=["<provider> <action>"]) shows its parameters | <name>(...) |
| MCP client (Claude, Cursor, Codex, ChatGPT) | search("<what you want to do>"), then describe("<name>") | call_read("<name>", {...}), call_write or call_destructive: the one that describe names in call_with |
| Hyper CLI | hyperai search "<what you want to do>", then hyperai describe <name> | hyperai call <name> --json '{...}' |
If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit. On an MCP client or the CLI, tell the user which integration to connect in Hyper.
Default Workflow
Step 1: Precision pass with reddit_leads_scrape
Start with focused keyword + subreddit pairs:
searches: list of{ "keyword": "...", "subreddit": "..." }hours_back: set a clear recency windowsearch_posts=truesearch_comments=trueonly when comment evidence is neededsort="new"for monitoring orsort="top"for stable discussionsnegative_keywordsto suppress spam/noise
Use 1-3 specific keywords first. Avoid broad single words.
Step 2: Expand with reddit_scrape
If precision results are too narrow:
- run
reddit_scrapewith subredditstart_urls - add adjacent keyword variants in
searches - tune
sortandtimefor recency vs quality - keep
skip_comments=truewhen only post-level signal is needed
Query Quality Rules
- Prefer scoped subreddits before global search.
- Include negative filters (e.g.
onlyfans,porn,nsfw,promo,buy now) when results are noisy. - Increase specificity before increasing
max_items. - If results are sparse, widen subreddits and add semantically related keywords.
Output Requirements
Return:
- top findings with short rationale
- source URLs
- subreddit distribution
- repeated themes/pain points
- recommended follow-up keywords
Do not return unfiltered dumps. Prioritize relevance and evidence.
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 27
- ReScienceLab/opc-skills★ 1.9ksame name
- astashov/liftosaur★ 747same name
- redf0x1/camofox-browser★ 411same name
- sigcli/sigcli★ 293same name
- refly-ai/refly-skills★ 203same name
- getnao/sylph★ 195same name
- runxhq/runx★ 97same name
- AlekseiUL/sprut-agent-kit★ 66same name
- carsteneu/yesmem★ 46same name
- AceDataCloud/Skills★ 17same name
17 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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