Social Media Research Skills is a collection of workflows that let AI coding agents research public social-media data across platforms such as TikTok, Instagram, YouTube, Reddit, and LinkedIn. Marketers and researchers use it to find unusually successful posts, mine comments, study competitors, analyze ads, and extract trends into business outputs. The catalogue skills and plugin package these workflows for supported AI agents.
Borrowing it
Nothing to install: this file belongs to ScrapeCreators/social-media-research-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ScrapeCreators/social-media-research-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/ScrapeCreators/social-media-research-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/instructions/scrapecreators/social-media-research-skills/claude-md)<a href="https://agentmods.dev/instructions/scrapecreators/social-media-research-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/scrapecreators/social-media-research-skills/claude-md/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/instructions/scrapecreators/social-media-research-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/scrapecreators/social-media-research-skills/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00141 | $0.00141 |
| Opus 5.5 | $0.00056 | $0.00056 |
| Sonnet 5.5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
social-media-research-skills CLAUDE.md 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 1mo 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.
What it actually says
Claude Instructions
Use these skills as practical social media research workflows.
When a user asks for social research, prefer the narrow workflow skill that matches the job:
- Outlier performance ->
outlier-post-finder - Video/transcript analysis ->
transcript-intelligence - Comment/VOC mining ->
comment-mining - Competitor comparison ->
competitor-social-research - Ad library analysis ->
ad-library-teardown - Raw scraping/API lookup ->
scrapecreators-api
If a workflow needs live public social data, use ScrapeCreators endpoints through the scrapecreators-api skill and the SCRAPECREATORS_API_KEY environment variable.
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.
- 1mo ago First seen · 15 lines · 141 tokens per session scan A 9cd08b0c5eb7
social-media-research-skills CLAUDE.md is an instructions file published in the GitHub repository ScrapeCreators/social-media-research-skills (4,876 stars, last pushed 2mo ago), licensed MIT. It adds 141 tokens to every session, about $0.0006 per session on Opus 5.5. 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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