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.
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 ScrapeCreators/social-media-research-skills --skill creator-profile-teardowngit 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/skills/scrapecreators/social-media-research-skills/creator-profile-teardown)<a href="https://agentmods.dev/skills/scrapecreators/social-media-research-skills/creator-profile-teardown"><img src="https://agentmods.dev/badge/skills/scrapecreators/social-media-research-skills/creator-profile-teardown/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/scrapecreators/social-media-research-skills/creator-profile-teardown"><img src="https://agentmods.dev/badge/skills/scrapecreators/social-media-research-skills/creator-profile-teardown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00050 | $0.00524 |
| Opus 5 | $0.00025 | $0.00262 |
| Sonnet 5 | $0.00010 | $0.00105 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
creator-profile-teardown 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.
What it actually says
Creator Profile Teardown
Overview
Create a practical teardown of a creator or brand account. Explain what the account is about, why the content appears to work, what patterns repeat, and what the user should copy, adapt, or avoid.
When to Use
Use this skill when the user asks to:
- analyze a creator or brand profile
- explain why an account is growing or performing
- create a swipe file from one creator
- identify content pillars, hooks, CTAs, and formats
- learn what to copy from a competitor or creator
Workflow
- Pull profile metadata and public links.
- Pull recent posts and identify outliers.
- Fetch transcripts/comments for the best examples if needed.
- Identify positioning, promise, niche, audience, and recurring topics.
- Extract hooks, formats, series, CTAs, and visual patterns.
- Summarize lessons and recommended tests.
Output Format
# Creator Profile Teardown: {creator}
## Positioning
- Who they serve:
- Promise:
- Personality/voice:
## Content Pillars
| Pillar | Evidence | Example posts |
|---|---|---|
## Outlier Posts
| Post | Metric | Lift/why it matters | Pattern |
|---|---:|---|---|
## Hooks and Formats to Steal
- ...
## What Not to Copy
- ...
## Tests for Us
1. ...
Common Pitfalls
- Do not reduce the teardown to a profile summary. Find repeatable mechanics.
- Do not copy personal details or private information.
- Do not assume causation from performance. Say what the evidence suggests.
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 · 82 lines · 50 tokens per session scan A 8bb24dbb8ae5
creator-profile-teardown is a skill published in the GitHub repository ScrapeCreators/social-media-research-skills (2,260 stars, last pushed 16d ago), licensed MIT. It adds 50 tokens to every session and 524 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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