Borrowing it
Nothing to install: this file belongs to thearnavrustagi/marketmenow. 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/thearnavrustagi/marketmenow/main/CLAUDE.mdgit clone --depth 1 https://github.com/thearnavrustagi/marketmenowWrote 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/thearnavrustagi/marketmenow/claude-md)<a href="https://agentmods.dev/instructions/thearnavrustagi/marketmenow/claude-md"><img src="https://agentmods.dev/badge/instructions/thearnavrustagi/marketmenow/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/thearnavrustagi/marketmenow/claude-md"><img src="https://agentmods.dev/badge/instructions/thearnavrustagi/marketmenow/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 | $0.04255 | $0.04255 |
| Opus 5.5 | $0.01702 | $0.01702 |
| Sonnet 5.5 | $0.00851 | $0.00851 |
| Haiku 4.5 | $0.00426 | $0.00426 |
Grade A, and why
marketmenow 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 2mo 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MarketMeNow
Cross-platform marketing automation framework. Generates and publishes content across Instagram, Twitter/X, Reddit, LinkedIn, YouTube, TikTok, and Email from a single CLI or web dashboard.
Project Layout
src/marketmenow/ # Platform-agnostic core (models, ports, pipeline, registry, workflows)
src/marketmenow/steps/ # Reusable workflow steps (generate, post, discover, package, etc.)
src/marketmenow/workflows/# Built-in workflow definitions (instagram-reel, twitter-engage, post-capsule, etc.)
src/adapters/ # Platform-specific adapters (instagram, twitter, linkedin, reddit, email, facebook, youtube, tiktok)
src/web/ # FastAPI web dashboard
tests/ # pytest + pytest-asyncio test suite
prompts/ # YAML prompt templates per platform
campaigns/ # YAML campaign config files (e.g. reddit-launch)
projects/ # Per-product marketing material directories
projects/{slug}/capsules/ # Content capsules — self-contained packages of generated content
pyproject.toml # Single source of truth for deps, scripts, ruff, pytest config
Commands
uv sync # Install dependencies
uv sync --all-extras # Install with optional deps (langchain, dev tools)
uv run --extra dev pytest # Run tests
uv run ruff check src/ tests/ # Lint
uv run ruff format src/ tests/ # Format
uv run ruff check --fix src/ tests/ # Auto-fix safe lint issues
uv run mmn --help # CLI help
uv run mmn workflows # List available marketing workflows
uv run mmn run <workflow> [OPTIONS] # Run a workflow (e.g. instagram-reel, twitter-engage)
uv run mmn project add <slug> # Create a new project (interactive onboarding)
uv run mmn project list # List all projects
uv run mmn project use <slug> # Set active project
uv run mmn project info # Show project details
uv run mmn auth <platform> # Authenticate with a platform
uv run mmn capsule list # List content capsules for active project
uv run mmn capsule info <id> # Show capsule details (media, publications, metadata)
uv run mmn run post-capsule --capsule <id> --platform <name> # Post capsule to any platform
uv run mmn heal # Run tests and auto-fix failures via Cursor agent
uv run mmn feedback # Analyze prior video performance and generate guidelines
uv run mmn index # Retroactively index and classify all prior videos
uv run mmn-web # Start web dashboard (http://localhost:8000)
docker compose up -d # Start PostgreSQL (required for web dashboard)
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.
- 2mo ago First seen · 250 lines · 4,255 tokens per session scan A 99d5b603a139
marketmenow CLAUDE.md is an instructions file published in the GitHub repository thearnavrustagi/marketmenow (138 stars, last pushed 6mo ago), licensed MIT. It adds 4,255 tokens to every session, about $0.0170 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 2026-09-01.
marketmenow CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| marketmenow CLAUDE.mdthearnavrustagi/marketmenow | Instructions file | 138 | 6mo ago | MIT | A | 4,255 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |