Borrowing it
Nothing to install: this file belongs to Dataslayer-AI/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/Dataslayer-AI/Marketing-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/Dataslayer-AI/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/dataslayer-ai/marketing-skills/claude-md)<a href="https://agentmods.dev/instructions/dataslayer-ai/marketing-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/dataslayer-ai/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/dataslayer-ai/marketing-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/dataslayer-ai/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 | $0.00608 | $0.00608 |
| Opus 5 | $0.00304 | $0.00304 |
| Sonnet 5 | $0.00122 | $0.00122 |
| Haiku 4.5 | $0.00061 | $0.00061 |
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 9d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Project conventions for Marketing-skills
What this repo is
A collection of Claude Code skills for marketing analysis. Skills work in two modes: automatic (with the Dataslayer MCP fetching live data from Google Ads, Meta, LinkedIn, GA4, Search Console, Stripe, and 50+ platforms) or manual (user pastes CSV/JSON data). Same analysis engine either way.
Repo structure
skills/ → Each subfolder is a skill (SKILL.md + optional scripts/)
agents/ → Each .md file is a subagent used by ds-brain
scripts/ → Shared utilities (ds_utils.py) and tests
reports/ → Generated PDFs (gitignored, local only)
.agents/ → Business context file (gitignored, user-specific)
Key conventions
- SKILL.md format: Frontmatter (name, description, model, allowed-tools) followed by Step 1–4 sections, Tone rules, Related skills. See CONTRIBUTING.md.
- Subagents return data only. No interpretation, no recommendations. The orchestrator (ds-brain) or standalone skill handles synthesis.
- All data processing goes through
scripts/ds_utils.py. Never write inline calculation scripts in SKILL.md files. ds_utils functions are tested (113 tests in test_ds_utils.py). - Use
${CLAUDE_SKILL_DIR}for file references — never hardcode paths. - Use
!cat ... || echo "..."` for context injection in Step 1. - Date ranges: Skills and their corresponding subagents must use the same default date range. Currently: paid=30d, organic=28d, content=90d, retention=60d (cancellations) / 30d (charges).
Running tests
python scripts/test_ds_utils.py
QA tools
/ds-lint— Validates all SKILL.md and agent files against the spec/ds-eval— Tests triggering accuracy with cases from eval/triggering-tests.yaml/ds-audit— Cross-skill consistency review (description overlap, format, features)
MCP tool naming
Skills use wildcard patterns in allowed-tools: mcp__*__natural_to_data,
mcp__*__check_task_id, etc. This matches any MCP server name — whether
it's a UUID (auto-generated) or a custom name like "dataslayer".
No user configuration needed.
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.
- 9d ago First seen · 62 lines · 608 tokens per session scan A 1179e23d065d
Marketing-skills CLAUDE.md is an instructions file published in the GitHub repository Dataslayer-AI/Marketing-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 608 tokens to every session, about $0.0030 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.
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