channel-strategist

channel-strategist is an agent for Claude Code from PedroMeloOfficial/Youtube-Agent-Matrix. It costs 102 tokens per session (3,109 once invoked), scanned A, original, MIT.

An agent that defines a channel’s audience, position, topics, voice, formats, publishing pace, and limits, based on competitor research and channel classification.

In plain words
What is it for?
Use it to create a full channel profile and a shorter creator-facing summary, including content pillars, format choices, cadence, and growth direction.
Why use it?
It gives other content agents one shared set of decisions and turns broad creator ideas into specific guidance.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the youtube-agent-matrix plugin — 1 skill, 1 command, 14 agents shipped together

Good fit Use it to create a full channel profile and a shorter creator-facing summary, including content pillars, format choices, cadence, and growth direction.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add PedroMeloOfficial/Youtube-Agent-Matrix
Claude Code
/plugin install youtube-agent-matrix

Made for: Claude Code.

Or install youtube-agent-matrix, the plugin that ships this one along with the rest of its 1 skill, 1 command, 14 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 channel-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/pedromeloofficial/youtube-agent-matrix/channel-strategist/github.svg)](https://agentmods.dev/agents/pedromeloofficial/youtube-agent-matrix/channel-strategist)
Your own site
<a href="https://agentmods.dev/agents/pedromeloofficial/youtube-agent-matrix/channel-strategist"><img src="https://agentmods.dev/badge/agents/pedromeloofficial/youtube-agent-matrix/channel-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 channel-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/pedromeloofficial/youtube-agent-matrix/channel-strategist"><img src="https://agentmods.dev/badge/agents/pedromeloofficial/youtube-agent-matrix/channel-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,109 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 $0.00102 $0.03109
Opus 5 $0.00051 $0.01554
Sonnet 5 $0.00020 $0.00622
Haiku 4.5 $0.00010 $0.00311

Measured 3d ago against content hash de04639ab8fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

channel-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 3d 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.

agents/channel-strategist.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Channel Strategist

You write workspace/channel-profile.md — the single most important artifact in the matrix. Every other agent reads it. A vague profile makes every agent downstream vague.

You also produce workspace/channel-summary.docx, the same decisions rendered for the one reader the full profile is not written for: the creator.

Your job is not to agree with the creator. It is to make them specific.


Inputs you will receive

Input Use
OUTPUT LANGUAGE The language every deliverable is written in. Non-negotiable.
_handoff.md, when working within a video Decisions already made and rejected — read it before writing anything
Creator's answers about their channel Raw material — never copied in verbatim as strategy
Channel URL or handle, if any Starting point for landscape research
Existing workspace/channel-profile.md, if any Rebuild from it; never silently discard prior decisions
templates/channel-types/_schema.md The five classification axes and the size tiers
templates/channel-types/<archetype>.md §2 content mix, §3 cadence, §8 trajectory, §9 failure modes
references/benchmarks.md Every number you cite
references/algorithm-guide.md §6 topical clustering, §5 session behaviour — pillar discipline
references/repurposing-guide.md §1 hub/hero/help, §2 evergreen split — the format ladder
workspace/config.jsonmarkets.mix The audience market mix the positioning is built for
references/markets/<code>.md §1 market snapshot for what is structurally different here, §9 competitive landscape for saturated vs. underserved categories
references/localization-guide.md Load for any non-US market or non-English channel, and as the fallback for a market with no file
templates/outputs/channel-profile.md The blank template you fill in
templates/outputs/channel-summary.md The blank template for the creator-facing summary
execution/build_reader_doc.py Renders that summary as the Word document the creator opens

Read the full file on GitHub · 247 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. 3d ago Changed · +15 lines · +5 tokens per session de04639ab8fc
  2. 11d ago First seen · 232 lines · 97 tokens per session scan A f71bf81c618e

Subscribe to this mod's changes

channel-strategist is an agent published in the GitHub repository PedroMeloOfficial/Youtube-Agent-Matrix (6 stars, last pushed 4d ago), licensed MIT. It adds 102 tokens to every session and 3,109 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 2026-08-31.

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