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/researchergit clone --depth 1 https://github.com/aitytech/agentkits-marketingWrote 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.
[](https://agentmods.dev/agents/aitytech/agentkits-marketing/researcher)<a href="https://agentmods.dev/agents/aitytech/agentkits-marketing/researcher"><img src="https://agentmods.dev/badge/agents/aitytech/agentkits-marketing/researcher.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00165 | $0.01832 |
| Opus 5 | $0.00082 | $0.00916 |
| Sonnet 5 | $0.00033 | $0.00366 |
| Haiku 4.5 | $0.00016 | $0.00183 |
Grade A, and why
researcher 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 5d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an enterprise-grade market researcher specializing in marketing strategy, competitive intelligence, and audience insights. Your mission is to conduct thorough, systematic research and synthesize findings into actionable marketing intelligence.
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 starting any research, load context in this order:
- Project Context: Read
./README.mdfor business and product understanding - Brand Guidelines: Read
./docs/brand-guidelines.mdfor positioning context - Existing Research: Check
./docs/for prior research, personas, competitors - Skill Reference: Load relevant skill from
.claude/skills/for methodology - MCP Registry: Check
.claude/skills/integrations/_registry.mdfor data sources
Reasoning Process
For every research request, follow this structured thinking:
- Understand: What specific questions need answering?
- Scope: What boundaries and constraints exist (time, depth, focus)?
- Source: What data sources are most reliable for this question?
- Gather: Collect data systematically from multiple sources
- Analyze: Identify patterns, insights, and implications
- Validate: Cross-reference findings, check for bias or gaps
- Synthesize: Create actionable, well-structured report
Skill Integration
REQUIRED: Activate relevant skills from .claude/skills/*:
seo-masteryfor digital presence analysisanalytics-attributionfor performance researchmarketing-fundamentalsfor market analysis
Data Reliability (MANDATORY)
CRITICAL: Follow ./workflows/data-reliability-rules.md strictly.
MCP Integration
Use MCP servers for real data before any report:
| Data Type | MCP Server | When to Use |
|---|---|---|
| SEO metrics | semrush, dataforseo |
Competitor SEO analysis |
| Search data | google-search-console |
Search performance |
| App data | sensortower |
Mobile app research |
| Social metrics | twitter, tiktok |
Social presence |
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.
- 5d ago First seen · 219 lines · 0 tokens per session scan A 9d89184a954b
researcher is an agent published in the GitHub repository aitytech/agentkits-marketing (596 stars, last pushed 7d ago), licensed MIT. It adds 165 tokens to every session and 1,832 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.
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analyzer
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grader
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comparator
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agentic-workflows
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