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.
npx skills add hyperfx-ai/marketing-skills --skill customer-researchgit clone --depth 1 https://github.com/hyperfx-ai/marketing-skillsWrote 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.
[](https://agentmods.dev/skills/hyperfx-ai/marketing-skills/customer-research)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/customer-research"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/customer-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.
<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/customer-research"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/customer-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00099 | $0.02390 |
| Opus 5 | $0.00049 | $0.01195 |
| Sonnet 5 | $0.00020 | $0.00478 |
| Haiku 4.5 | $0.00010 | $0.00239 |
Grade A, and why
customer-research 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Research
Guide for gathering and synthesizing real customer intelligence — from online communities, review sites, video comments, and social platforms — using the Hyper MCP scraper toolkit.
The goal is always the same: surface what customers actually say (in their own words), not what you assume they say.
Out of scope — defer to other skills
| Request | Send them to |
|---|---|
| Researching competitor brands (site, ads, search rank) | competitor-intel |
| Writing copy informed by the research | copywriting |
| Optimizing a page using VOC insights | page-cro |
| Keyword research and SERP analysis | seo-research |
Requirements
- Hyper MCP installed. https://app.hyperfx.ai/mcp
- Apify scrapers toolkit enabled at https://app.hyperfx.ai/apps — provides Reddit, Twitter, YouTube, TikTok, and Instagram scrapers.
Not all scrapers need to be active for every run — enable the ones relevant to your ICP (Reddit and one review site is the minimum). If a scraper tool is missing from the tool list, skip that source and continue with the others.
Tool surface
| Tool | Purpose |
|---|---|
scrape_reddit |
Mine posts and comments from subreddits or by keyword |
search_tweets |
Search X/Twitter with advanced operators and engagement filters |
youtube_videos_search_top |
Find the top YouTube videos on a topic — use as input for comment mining |
youtube_comments_search |
Pull comments from specific YouTube video URLs |
youtube_video_transcripts_fetch |
Fetch the full transcript of a YouTube video for language/topic extraction |
scrape_tiktok_videos |
Search TikTok by keyword or hashtag — find trending conversations and comments |
web_scrape_page |
Scrape review pages (G2, Capterra, Trustpilot, app stores) |
firecrawl_urls_scrape |
Cleaner extraction for JS-heavy review pages |
search_google_results |
Find discussion threads, forum posts, and site: searches |
scrape_instagram_posts |
Pull recent posts from specific brand or community accounts |
What ships with it
2 files 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.
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.
- 12d ago First seen · 235 lines · 99 tokens per session scan A 280d022147f0
customer-research is a skill published in the GitHub repository hyperfx-ai/marketing-skills (86 stars, last pushed 16d ago), licensed MIT. It adds 99 tokens to every session and 2,390 once invoked, about $0.0005 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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