check

check is a command for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 30 tokens per session (952 once invoked), scanned A, original, MIT.

A pre-publication checker for marketing content. It reviews drafts for unsupported claims, brand voice, structure, readability, and other quality problems.

In plain words
What is it for?
Use it to check blog posts, advertisements, emails, social posts, landing pages, and press releases, either from a file or pasted text.
Why use it?
It catches issues before content is published, including made-up facts or wording that does not fit the brand.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the digital-marketing-pro plugin — 154 skills, 18 commands, 24 agents shipped together

Good fit Use it to check blog posts, advertisements, emails, social posts, landing pages, and press releases, either from a file or pasted text.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/indranilbanerjee/digital-marketing-pro/check
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 154 skills, 18 commands, 24 agents.

Wrote 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.

agentmods badge for check

README.md
[![agentmods](https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/check/github.svg)](https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/check)
Your own site
<a href="https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/check"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/check/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.

agentmods 80×15 button for check

Your own site · 80×15
<a href="https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/check"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 952 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00952
Opus 5 $0.00015 $0.00476
Sonnet 5 $0.00006 $0.00190
Haiku 4.5 $0.00003 $0.00095

Measured 10d ago against content hash b16c3501f6e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

check 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 10d 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.

commands/check.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/digital-marketing-pro:check — Pre-Publish Quality Gate

Runs the unified evaluation suite on marketing content. Wraps scripts/eval-runner.py and produces a single pass / warn / blocked decision with actionable issues.

This is the canonical pre-publish gate for any marketing content (blog posts, ad copy, emails, social posts, landing pages, press releases). An earlier version ran the same checks automatically as a global PreToolUse hook on every Write/Edit operation in every project; that hook was removed because it fired across all plugins and projects regardless of context. This command is the explicit, intentional replacement.

Quick examples

/digital-marketing-pro:check drafts/q2-launch-blog.md
/digital-marketing-pro:check drafts/healthcare-ad.md --full --brand healthfirst --evidence facts/q2-claims.json --schema ad_copy
/digital-marketing-pro:check drafts/financial-services-landing.md --compliance --brand finadvisor
/digital-marketing-pro:check "Inline content can also be checked directly."

Modes

Flag Mode What it runs
(default) run-quick hallucination + content quality + readability (~2s, no external deps)
--full run-full All 6 dimensions including brand voice + claims + structure (when corresponding inputs provided)
--compliance run-compliance Compliance-focused: hallucination + claims + brand voice + structure

Optional inputs

Flag Purpose
--brand <slug> Score against named brand's voice profile. Defaults to active brand if set.
--evidence <path> Cross-check claims against a JSON evidence file.
--schema <name> Validate structure against a named schema (blog_post, email, ad_copy, social_post, landing_page, press_release, content_brief, campaign_plan, or --schema list to see all).

Output

The command returns a unified report with:

  • Composite score (0-100) and letter grade (A+ to F)
  • Per-dimension scores with weights and pass/fail status
  • Issues grouped by severity (CRITICAL / WARNING)
  • Each issue paired with a specific fix suggestion
  • Decision: PASS (safe to publish), WARN (publish but address warnings first), or BLOCKED (CRITICAL issues must be fixed before publishing)

Read the full file on GitHub · 65 lines

Changes

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.

  1. 10d ago First seen · 65 lines · 30 tokens per session scan A b16c3501f6e7

Subscribe to this mod's changes

check is a command published in the GitHub repository indranilbanerjee/digital-marketing-pro (801 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 952 once invoked, about $0.0002 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.