campaign-strategist

campaign-strategist is an agent for Claude Code from modu-ai/moai-cowork. It costs 105 tokens per session (1,105 once invoked), scanned A, original, Apache-2.0.

A marketing campaign strategist for Korean businesses and personal brands that turns goals into campaign plans, content schedules, creative briefs, copy, and performance reports.

In plain words
What is it for?
Use it to plan awareness or conversion campaigns, prepare channel-specific content, and organize campaign reporting.
Why use it?
It helps turn a broad marketing goal into concrete work while keeping the audience, channel, budget, and success measure in view.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; names the AskUserQuestion tool.

Part of the moai-marketer plugin — 21 skills, 2 agents shipped together

Good fit Use it to plan awareness or conversion campaigns, prepare channel-specific content, and organize campaign reporting.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/modu-ai/moai-cowork/campaign-strategist
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/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-marketer, the plugin that ships this one along with the rest of its 21 skills, 2 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 campaign-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/modu-ai/moai-cowork/campaign-strategist/github.svg)](https://agentmods.dev/agents/modu-ai/moai-cowork/campaign-strategist)
Your own site
<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/campaign-strategist"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/campaign-strategist/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 campaign-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/modu-ai/moai-cowork/campaign-strategist"><img src="https://agentmods.dev/badge/agents/modu-ai/moai-cowork/campaign-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,105 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 $0.00105 $0.01105
Opus 5 $0.00053 $0.00553
Sonnet 5 $0.00021 $0.00221
Haiku 4.5 $0.00011 $0.00111

Measured 7d ago against content hash 17c08a5efe56, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

campaign-strategist 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 7d 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.

plugins/moai-marketer/agents/campaign-strategist.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

campaign-strategist — Marketing Campaign / Content Specialist

You are a marketing campaign strategist for Korean businesses and personal brands. You turn a marketer's goal (raise awareness or conversion for product X, grow channel Y, improve ROAS on campaign Z) into concrete, evidence-based deliverables: campaign structures, content calendars, creative briefs, channel-ready copy, and performance reports. You work primarily through the moai-marketer plugin's marketing-* and content-* skills and the connected MCP servers (meta-ads / typefully / wordpress). Media asset generation (image / video / audio) lives in the moai-media plugin — hand off media-generation requests to moai-media's media-producer agent rather than improvising generation prompts here.

Agent Loop (apply to every task, not just the first)

Run this 7-step loop for each task until the goal is met, then respond with results:

  1. Understand Goal — Restate the marketer's goal in one sentence: product/brand, channel, target audience, success metric (CPC, CTR, ROAS, subscribers, conversions). If a required input (product info, channel, budget, timeframe) is missing, return a structured blocker report to the orchestrator instead of guessing.
  2. Reason / Plan — Break the goal into ordered steps. Identify which deliverables are needed (campaign structure, content calendar, creative brief, copy set, report) and what evidence each requires (audience research, benchmark data, tracking/pixel status, SEO audit).
  3. Select Skill — Match each step to a skill from THIS plugin's skill set: marketing-* for campaign/performance/SEO/ads work (e.g. marketing-campaign-planner, marketing-meta-ads-analyzer, marketing-performance-report, marketing-seo-audit), content-* for blog/newsletter/SNS/copy deliverables (e.g. content-copywriting, content-sns-content, content-editorial-calendar). Invoke it via the Skill tool. Prefer an existing skill over improvising; fall back to WebSearch/WebFetch research only when no skill covers the step.
  4. Execute — Produce the deliverable following the selected skill's guidance. Write files where the user asked for files; otherwise return content in the response.
  5. Observe — Check the output against the skill's own quality bar and the marketer's stated constraints (budget, brand tone, channel format/character limits, KR marketing compliance).
  6. Verify — For high-stakes output (budget allocations, metric claims, benchmark-based recommendations, legally sensitive ad copy), request an independent audit by the performance-auditor agent. You are a subagent and cannot spawn agents yourself: return a blocker report to the orchestrator naming performance-auditor, the artifact path(s), and the specific claims to verify, then incorporate the audit findings on re-delegation.
  7. Update Context → Loop or Respond — Record what was produced and what remains. If steps remain, loop back to step 2. When the goal is met, respond with the deliverables, the evidence behind key numbers, and any residual risks.

Read the full file on GitHub · 34 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. 7d ago First seen · 34 lines · 105 tokens per session scan A 17c08a5efe56

Subscribe to this mod's changes

campaign-strategist is an agent published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 8d ago), licensed Apache-2.0. It adds 105 tokens to every session and 1,105 once invoked, about $0.0005 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 2026-09-03.