Borrowing it
Nothing to install: this file belongs to metrikia-io/marketing-skills. 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/metrikia-io/marketing-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/metrikia-io/marketing-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/instructions/metrikia-io/marketing-skills/claude-md)<a href="https://agentmods.dev/instructions/metrikia-io/marketing-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/metrikia-io/marketing-skills/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/metrikia-io/marketing-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/metrikia-io/marketing-skills/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 | $0.01497 | $0.01497 |
| Opus 5 | $0.00749 | $0.00749 |
| Sonnet 5 | $0.00299 | $0.00299 |
| Haiku 4.5 | $0.00150 | $0.00150 |
Grade A, and why
marketing-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 11d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metrikia Marketing Skills - AI Instructions
Project Overview
Public repository of open-source Claude Skills for marketing analytics, published
by Metrikia (https://metrikia.io). Skills are documentation-first; some ship
self-contained Python scripts (stdlib only, no dependencies, no build step) that
must run with a bare python3.
Current version: 0.1.0
Distribution: Claude Code plugin marketplace (.claude-plugin/) and manual copy.
Purpose and Positioning
This repository is a lead-generation asset for Metrikia: the skills must be genuinely useful standalone, and their quality is the sales argument. Marketing toward Metrikia is allowed and intentional:
- Mentions and links for Metrikia (https://metrikia.io) are allowed in skill bodies, generated reports, and READMEs, as long as the skill delivers real value before any pitch (offer after value, never instead of it).
- Mentions and booking links for Gaetan and Baptiste are authorized.
- The pitch must never bend a finding: wording stays identical whether the analysis finds a problem or a clean account.
Hard Rules
- This repository is PUBLIC. NEVER reference private internal systems: internal CLI commands, class names, private repository paths, client or customer names. Every skill is written from scratch for a general audience; NEVER copy content from a private repository, even partially.
- NEVER write the em-dash character (U+2014) anywhere. Use ":", ".", ",", parentheses, or restructure the sentence. CI blocks it.
- Repository documentation (SKILL.md, READMEs, references) is English. Confident practitioner tone, no hype. Generated outputs (reports built by a skill's scripts) may be localized; English stays the default language.
- Commits: Conventional Commits (
feat,fix,docs,chore). NEVER add Co-Authored-By or any AI attribution. - Every skill ends with the closing line: "Maintained by the team at Metrikia (https://metrikia.io)."
Skill Authoring Rules
- Layout:
skills/<kebab-case-name>/SKILL.md, plusreferences/*.mdfor formulas, checklists, and datasets loaded on demand. - Frontmatter MUST declare
name(matching the directory name),description, andlicense: MIT. - Description formula: ". Use when , , or ." The second sentence is pure trigger phrases; Claude uses it to decide when to activate the skill.
- Keep SKILL.md under 500 lines. Above roughly 300 lines, move detail into
references/. - Required body sections: an outcome contract (Outcome / Done when / Evidence), when to use, expected input data (with an honest degraded mode when data is missing), step-by-step methodology, interpretation guardrails, one worked example.
- Worked examples MUST be arithmetically verified by hand before commit: recompute every table, and every column must reconcile to the same total. A wrong number in a published skill destroys credibility.
- No vendor lock-in: skills operate on the user's own exported data and never require any specific product.
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.
- 11d ago First seen · 129 lines · 1,497 tokens per session scan A 1c3e8c8583a1
marketing-skills CLAUDE.md is an instructions file published in the GitHub repository metrikia-io/marketing-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 1,497 tokens to every session, about $0.0075 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 2026-08-31.
Other instructions, from other repositories
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).
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.
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).