agentmods.dev

social-media-research-skills CLAUDE.md

Instructions for choosing among workflows that research public social-media content. They direct requests to narrower workflows for competitor comparisons, high-performing posts, video transcripts, comments, advertisements, or raw data collection.

In plain words
What is it for?
Use them to route social-research requests to the appropriate workflow and to guide collection of public data from social platforms.
Why use it?
They help select a more suitable research process for the question being asked. When live social data is needed, they specify using ScrapeCreators and its API key.

Instructions file

1.9k +32 5d ago A scan 141 tokens original MIT
View the source file ScrapeCreators/social-media-research-skills
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.

agentmods
npx agentmods add instructions/scrapecreators/social-media-research-skills/claude-md
Clone the repo
git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills
Per session 141 This file is loaded in full into every session.
When invoked 141 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00141 $0.00141
Opus 5 $0.00071 $0.00071
Sonnet 5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured yesterday against content hash 9cd08b0c5eb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

CLAUDE.md · 15 lines

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.

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.

  1. yesterday First seen · 15 lines · 141 tokens per session scan A 9cd08b0c5eb7

Subscribe to this mod's changes

social-media-research-skills CLAUDE.md is an instructions file published in the GitHub repository ScrapeCreators/social-media-research-skills (1,921 stars, last pushed 5d ago), licensed MIT. It adds 141 tokens to every session, about $0.0007 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.

ProductivityResearchWriting and docsagent-skillsai-agentsclaude-codeclaude-skillscompetitor-analysiscontent-marketing
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