Borrowing it
Nothing to install: this file belongs to indranilbanerjee/digital-marketing-pro. 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/indranilbanerjee/digital-marketing-pro/main/AGENTS.mdgit clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/agents-md)<a href="https://agentmods.dev/instructions/indranilbanerjee/digital-marketing-pro/agents-md"><img src="https://agentmods.dev/badge/instructions/indranilbanerjee/digital-marketing-pro/agents-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/indranilbanerjee/digital-marketing-pro/agents-md"><img src="https://agentmods.dev/badge/instructions/indranilbanerjee/digital-marketing-pro/agents-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 | $0.02029 | $0.02029 |
| Opus 5.5 | $0.00812 | $0.00812 |
| Sonnet 5.5 | $0.00406 | $0.00406 |
| Haiku 4.5 | $0.00203 | $0.00203 |
Grade A, and why
digital-marketing-pro AGENTS.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 today.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital Marketing Pro — agent context
This file is auto-loaded by OpenAI Codex, Google Antigravity, GitHub Copilot CLI, Cursor (when in the agent context chain), and other Agent Skills runtimes. It is the equivalent of CLAUDE.md for non-Claude surfaces.
What this plugin is
Digital Marketing Pro is a comprehensive open-source AI marketing plugin shipping 164 skills, 24 specialist agents, a 12-Part Strategy Flow, and EU AI Act Article 50 readiness. Built for marketing agencies, in-house teams running 50–200 brands, and consultancies.
Supported surfaces (v3.37.1): Claude Code (CLI + IDE extensions), Anthropic Cowork, OpenAI Codex (CLI + IDE + App), Cursor 2.5+, GitHub Copilot CLI, Google Antigravity 2.0 (CLI + IDE), Hermes Agent (Nous Research, Desktop v0.15.2+), OpenClaw (formerly Clawdbot/Moltbot), Grok (xAI Build CLI, native .grok-plugin/ pair). Plus 35+ additional platforms via the Agent Skills open standard (Goose, OpenHands, OpenCode, Junie, Gemini CLI, Roo Code, Kiro, Amp, Letta, Mux, Factory, Workshop, Tabnine, Mistral Vibe, and more — see README "Works on 40+ agent harnesses").
Cowork-specific: On Anthropic Cowork the per-session filesystem is ephemeral (~/.claude-marketing/ AND ${CLAUDE_PLUGIN_DATA} BOTH vanish at session end — known platform issue #51398). Run /digital-marketing-pro:cowork-setup once per team to route brand state through a Google Drive MCP so profiles, plans, and reports survive across sessions.
How to use it as an agent
- Discover skills by description. All 164 skills auto-discover via SKILL.md frontmatter (
name:+description:). Match user intent to skill description. - Run skills by routing user requests to the matching SKILL.md. Read the skill body for instructions, scripts to run, references to pull.
- Skill bodies may reference Python scripts at
scripts/<name>.py— invoke via Bash /run_shell_command. - HTTP MCP connectors are opt-in. See
.mcp.json.connectors-referencefor the full catalog (Slack, HubSpot, Notion, Gmail, Google Calendar, Stripe, Ahrefs, SimilarWeb, Klaviyo, Amplitude, Canva, Figma, Asana, Webflow). User must configure env vars or set up MCP servers before they connect. - Compliance is mandatory. Skills enforce GDPR / CCPA / EU AI Act / DPDPA / LGPD / 11 other privacy jurisdictions. Don't skip the compliance gates.
- C2PA content provenance is required for AI-generated assets in EU campaigns (Article 50, applicable 2 Aug 2026). Use
scripts/embed-c2pa.pyto sign before delivery.
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.
- today Changed 73c368d16be3
- 15d ago Changed 09a67fb8dfe4
- 17d ago Changed · -6 tokens per session 656f244ac497
- 22d ago Changed 51b4bf085fac
- 23d ago Changed · -3 tokens per session 9b4ef183d0b8
- 1mo ago First seen · 91 lines · 2,038 tokens per session scan A 4fab15772e2c
digital-marketing-pro AGENTS.md is an instructions file published in the GitHub repository indranilbanerjee/digital-marketing-pro (911 stars, last pushed today), licensed MIT. It adds 2,029 tokens to every session, about $0.0081 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 2026-08-30.
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