Borrowing it
Nothing to install: this file belongs to ranjanrishikesh/taketomarket. 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/ranjanrishikesh/taketomarket/main/CLAUDE.mdgit clone --depth 1 https://github.com/ranjanrishikesh/taketomarketWrote 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/ranjanrishikesh/taketomarket/claude-md)<a href="https://agentmods.dev/instructions/ranjanrishikesh/taketomarket/claude-md"><img src="https://agentmods.dev/badge/instructions/ranjanrishikesh/taketomarket/claude-md.svg" alt="Measured on agentmods" 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 | $0.03261 | $0.03261 |
| Opus 5 | $0.01631 | $0.01631 |
| Sonnet 5 | $0.00652 | $0.00652 |
| Haiku 4.5 | $0.00326 | $0.00326 |
Grade A, and why
taketomarket 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 8d 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.
This is a copy
88% identical to taketomarket AGENTS.md — 58 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project
takeToMarket
An open-source Claude Code / Codex skill that brings GSD-style spec-driven development to marketing. takeToMarket is a marketing operating system — not a content generator — that treats every campaign, asset, and channel as a spec-driven unit with a verifiable outcome, a positioning invariant, and a quality gate wall. Users install it into their Claude Code or Codex environment and run marketing campaigns through a 9-phase lifecycle with persistent state, compound learnings, and automated verification.
Core Value: Every marketing asset ships with a verifiable outcome metric and passes through a positioning-invariant quality gate wall — no asset ships without both, ever.
Target Audience
Built for developerneurs and solopreneurs — engineers building and shipping their own products who have zero or near-zero marketing/growth experience.
When assisting the user:
- Assume strong engineering literacy. They read code fluently.
- Assume zero marketing literacy. Explain positioning, ICP, AEO, funnels in engineering analogies.
- Default to opinionated guidance — they came here because they don't know what's "right" in marketing.
- When suggesting marketing terms, link to
/ttm-101or run inline explanations on first use.
Constraints
- Platform: Must work as a Claude Code skill AND Codex skill — skill format must be compatible with both runtimes
- Context window: Production in Produce phase uses fresh 200K-token contexts per wave, loaded with brief + positioning + brand + ICP + playbook
- No external dependencies for MVP: The skill itself should not require external services — analytics data is pasted in manually
- State persistence: All state lives in
.taketomarket/directory files — no database, no external storage
Technology Stack
Recommended Stack
Core Technologies
| Technology | Version | Purpose | Why Recommended |
|---|---|---|---|
| SKILL.md (Agent Skills standard) | Current | Skill entry point and slash command definition | Universal standard adopted by Claude Code, Codex, Gemini CLI, Cursor, and 8+ runtimes. Each SKILL.md directory becomes a /ttm-* slash command. Verified via official Claude Code docs. |
| CLAUDE.md | Current | Project-level instruction file for Claude Code | Loaded automatically in every session. takeToMarket uses this to inject positioning-as-invariant enforcement and campaign lifecycle rules. |
| AGENTS.md | Current | Codex-compatible instruction file | Codex reads AGENTS.md automatically. Coexists with CLAUDE.md -- both can live in the same repo. Required for dual-runtime support. |
| Markdown (.md) | N/A | All skill content, templates, workflows, references | The entire Claude Code skill ecosystem is Markdown-native. YAML frontmatter for config, Markdown body for instructions. No other format is viable. |
| Node.js (CJS) | 18+ | CLI utilities (bin/ tools) | GSD uses .cjs files for deterministic operations (state management, config parsing, slug generation, commit orchestration). Node 18+ is required by Claude Code itself. |
| YAML frontmatter | N/A | Skill metadata, plan metadata, state tracking | Standard across all Agent Skills. Parsed natively by Claude Code, Codex, and the GSD ecosystem. |
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.
- 8d ago First seen · 188 lines · 3,261 tokens per session scan A a8bff1e42f7e
taketomarket CLAUDE.md is an instructions file published in the GitHub repository ranjanrishikesh/taketomarket (16 stars, last pushed 3mo ago), licensed MIT. It adds 3,261 tokens to every session, about $0.0163 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to taketomarket AGENTS.md, differing in 58 lines, and is treated as a copy.
Other instructions, from other repositories
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).
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.
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).
spec-kit AGENTS.md
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.