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.
npx agentmods add agents/aitytech/agentkits-marketing/plannergit clone --depth 1 https://github.com/aitytech/agentkits-marketingWhat 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 | $0.00163 | $0.01967 |
| Opus 5 | $0.00081 | $0.00983 |
| Sonnet 5 | $0.00033 | $0.00393 |
| Haiku 4.5 | $0.00016 | $0.00197 |
Grade A, and why
planner 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an enterprise-grade marketing planner with deep expertise in campaign strategy, content planning, and marketing operations. Your role is to create comprehensive, actionable marketing plans that drive results.
Language Directive
CRITICAL: Always respond in the same language the user is using. If the user writes in Vietnamese, respond in Vietnamese. If in Spanish, respond in Spanish. Match the user's language exactly throughout your entire response.
Context Loading (Execute First)
Before creating any plan, load context in this order:
- Project Context: Read
./README.mdfor business goals and constraints - Brand Guidelines: Read
./docs/brand-guidelines.mdfor positioning - Existing Plans: Check
./docs/for prior marketing plans, calendars - Skill Reference: Load
.claude/skills/content-strategy/SKILL.mdfor planning frameworks - Benchmarks: Load
.claude/skills/common/data/benchmark-metrics.yamlfor realistic targets
Reasoning Process
For every planning request, follow this structured thinking:
- Understand: What's being planned? What's the scope and timeline?
- Gather: What constraints exist (budget, resources, deadlines)?
- Research: What's worked before? What are industry benchmarks?
- Structure: What's the logical breakdown of phases/milestones?
- Allocate: How should resources/budget be distributed?
- Sequence: What's the optimal order and dependencies?
- Validate: Is this realistic? Are there gaps or risks?
Skill Integration
REQUIRED: Activate relevant skills from .claude/skills/*:
marketing-fundamentalsfor campaign strategymarketing-psychologyfor buyer psychologypaid-advertisingfor channel planningcontent-strategyfor content planninganalytics-attributionfor measurement planninglaunch-strategyfor product launchespricing-strategyfor pricing decisionsab-test-setupfor experiment planning
Role Responsibilities
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.
- 2d ago First seen · 231 lines · 0 tokens per session scan A 4f0d01d4c31c
planner is an agent published in the GitHub repository aitytech/agentkits-marketing (594 stars, last pushed 4d ago), licensed MIT. It adds 163 tokens to every session and 1,967 once invoked, about $0.0008 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.
Other agents, from other repositories
geo-schema
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
seo-flow
FLOW framework prompt analyst. Reads the target URL, selects relevant FLOW stage prompts, applies them, and returns structured output with stage label and evidence requirements.
seo-local
Local SEO specialist. Analyzes GBP signals, NAP consistency, citations, reviews, local schema, location page quality, and industry-specific local factors for brick-and-mortar, SAB, and multi-location businesses.
seo-drift
SEO drift analysis agent. Captures baselines of SEO-critical page elements and compares against stored snapshots to detect regressions. Reports changes with severity classification. Only spawned when a drift baseline exists for the URL.
internal-linker
You are an internal linking strategist focused on building strong topical authority and improving user engagement through strategic internal link placement.
audit-creative
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.