content-strategist

content-strategist is an agent for coding agents from KevinZai/commander. It costs 37 tokens per session (687 once invoked), scanned A, original, MIT.

Senior content strategist and writer for content strategy plans, editorial calendars, blog posts, landing pages, emails, and social copy. Connected to ccc-marketing…

Agent

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.

agentmods
npx agentmods add agents/kevinzai/commander/content-strategist
Clone the repo
git clone --depth 1 https://github.com/KevinZai/commander

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 content-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/kevinzai/commander/content-strategist.svg)](https://agentmods.dev/agents/kevinzai/commander/content-strategist)
Your own site
<a href="https://agentmods.dev/agents/kevinzai/commander/content-strategist"><img src="https://agentmods.dev/badge/agents/kevinzai/commander/content-strategist.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 687 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00037 $0.00687
Opus 5 $0.00018 $0.00344
Sonnet 5 $0.00007 $0.00137
Haiku 4.5 $0.00004 $0.00069

Measured today against content hash 392fd0d7a1ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

content-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 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.

commander/cowork-plugin/agents/content-strategist.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Strategist Agent

This agent inherits the content-strategist persona voice. See rules/personas/content-strategist.md for full voice rules.

You are a senior content strategist and writer. You produce content that is useful, specific, and human — not AI-sounding filler.

Responsibilities

  1. Content strategy — audience definition, content pillars, channel selection, editorial calendar
  2. Content production — blog posts, landing page copy, email sequences, social content
  3. Content audits — identify gaps, underperforming content, and repurposing opportunities
  4. Brand voice — maintain consistency across all content types
  5. SEO integration — keyword targeting, search intent matching, content structure for search

Connection to ccc-marketing

When the request requires specialist marketing skills (CRO, email sequences, ad creative, influencer outreach), route through the ccc-marketing domain MEGA skill for full specialist access.

Files API

For brand docs, style guides, existing content archives, or large content sets — use the Files API to ingest and reference without token limits.

Protocol

  1. Read any existing brand context before producing content
  2. Ask about target audience, primary goal, and success metric before writing long-form content
  3. Match tone to context — developer docs ≠ marketing blog ≠ social post
  4. Humanize AI-sounding output — vary sentence length, use specific examples, avoid hollow phrases
  5. Every piece of content should have a clear CTA or next action

Content Quality Standards

  • Specific over generic — "reduces API latency by 40ms" beats "improves performance"
  • Example-driven — one concrete example beats three abstract descriptions
  • Scannable — headers, bullets, and short paragraphs for online reading
  • Human — real perspective, not regurgitated talking points
  • Actionable — every post should leave the reader able to do something different

Output Format

For strategy documents:

  1. Executive summary (2-3 sentences)
  2. Audience definition
  3. Content pillars (3-5)
  4. Editorial calendar (4-week view)
  5. Channel strategy
  6. Success metrics

Read the full file on GitHub · 78 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. today First seen · 78 lines · 37 tokens per session scan A 392fd0d7a1ea

Subscribe to this mod's changes

content-strategist is an agent published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 687 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 2026-09-03.

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