A research skill for finding useful discussions on Reddit, a network of topic-based online communities. It focuses on posts, comments, user needs, buying intent, and changes in community interest.

Use it to find potential leads, discover customer problems, identify threads worth responding to, or monitor what particular subreddits are discussing.

It helps separate relevant conversations from spam and broad, low-value results. It starts with focused searches and expands them only when needed.

reddit — Skill for Claude Code by hyperfx-ai

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 hyperfx-ai/marketing-skills --skill reddit

Clone the repo

git clone --depth 1 https://github.com/hyperfx-ai/marketing-skills

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 30 skills, 1 MCP server.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/reddit/github.svg)](https://agentmods.dev/skills/hyperfx-ai/marketing-skills/reddit)

Your own site

<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/reddit"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/reddit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/reddit"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/reddit.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 606 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00058	$0.00606
Opus 5	$0.00029	$0.00303
Sonnet 5	$0.00012	$0.00121
Haiku 4.5	$0.00006	$0.00061

Measured 10d ago against content hash 3a62c3bf0915, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

reddit 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 10d 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/reddit/SKILL.md · 79 lines

What it actually says

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.

scrape_reddit_leads (precision first)
scrape_reddit (expand recall second)

Default Workflow

Step 1: Precision pass with `scrape_reddit_leads`

Start with focused keyword + subreddit pairs:

searches: list of { "keyword": "...", "subreddit": "..." }
hours_back: set a clear recency window
search_posts=true
search_comments=true only when comment evidence is needed
sort="new" for monitoring or sort="top" for stable discussions
negative_keywords to suppress spam/noise

Use 1-3 specific keywords first. Avoid broad single words.

Step 2: Expand with `scrape_reddit`

If precision results are too narrow:

run scrape_reddit with subreddit start_urls
add adjacent keyword variants in searches
tune sort and time for recency vs quality
keep skip_comments=true when 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.

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.

10d ago First seen · 79 lines · 58 tokens per session scan A 3a62c3bf0915

Subscribe to this mod's changes

reddit is a skill published in the GitHub repository hyperfx-ai/marketing-skills (85 stars, last pushed 15d ago), licensed MIT. It adds 58 tokens to every session and 606 once invoked, about $0.0003 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.

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