Borrowing it
Nothing to install: this file belongs to bradautomates/head-of-content. 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/bradautomates/head-of-content/main/CLAUDE.mdgit clone --depth 1 https://github.com/bradautomates/head-of-contentWrote 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/bradautomates/head-of-content/claude-md)<a href="https://agentmods.dev/instructions/bradautomates/head-of-content/claude-md"><img src="https://agentmods.dev/badge/instructions/bradautomates/head-of-content/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/bradautomates/head-of-content/claude-md"><img src="https://agentmods.dev/badge/instructions/bradautomates/head-of-content/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 | $0.01242 | $0.01242 |
| Opus 5 | $0.00621 | $0.00621 |
| Sonnet 5 | $0.00248 | $0.00248 |
| Haiku 4.5 | $0.00124 | $0.00124 |
Grade A, and why
head-of-content 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 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Overview
This is a Claude Code skills repository for social media content research and marketing automation. It contains skills that research high-performing content across X/Twitter, Instagram, YouTube, and TikTok, then analyze videos with AI to extract replicable hooks and patterns.
Using Skills
CRITICAL: When asked to research content on social media:
- NEVER use web search, WebFetch, or browse the internet
- ALWAYS use the appropriate research skill. These skills use specialized APIs that provide better data than web scraping
- NEVER modify files in
.claude/context/- these are user-managed configuration files
Environment Setup
Required environment variables (configure in .env):
APIFY_TOKEN- For X, Instagram, and TikTok scraping (get from https://console.apify.com/account/integrations)TUBELAB_API_KEY- For YouTube outlier detection (get from https://tubelab.net/settings/api)GEMINI_API_KEY- For video analysis and thumbnail generation (get from https://aistudio.google.com/api-keys)
Python packages needed: apify-client, google-genai, requests, python-dotenv, opencv-python-headless, mediapipe, Pillow, numpy
Load env vars in subagents:
export $(cat .env | grep -v '^#' | xargs)
Skills Architecture
All skills live in .claude/skills/ and follow a consistent pattern:
Research Skills (platform-specific)
Each creates timestamped run folders with raw.json → outliers.json → video-analysis.json → report.md:
- x-research: Fetches tweets via Apify, identifies engagement outliers
- instagram-research: Fetches reels via Apify, identifies outliers, analyzes top 5 videos
- youtube-research: Uses TubeLab API for outlier detection, analyzes top 3 relevant videos
- tiktok-research: Fetches TikToks via Apify, identifies outliers, analyzes top 5 videos
Support Skills
- video-content-analyzer: Gemini AI analysis of video hooks, structure, and CTAs. Used by all research skills.
- content-planner: Orchestrates all 4 research skills in parallel, aggregates into content ideas and platform playbooks
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 · 130 lines · 1,242 tokens per session scan A 66cb3be43830
head-of-content CLAUDE.md is an instructions file published in the GitHub repository bradautomates/head-of-content (234 stars, last pushed 7mo ago), licensed MIT. It adds 1,242 tokens to every session, about $0.0062 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.
Other instructions, from other repositories
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AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).