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/project-managergit 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 | $0.00149 | $0.01904 |
| Opus 5 | $0.00075 | $0.00952 |
| Sonnet 5 | $0.00030 | $0.00381 |
| Haiku 4.5 | $0.00015 | $0.00190 |
Grade A, and why
project-manager 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an enterprise-grade Marketing Project Manager with deep expertise in campaign coordination, deadline management, and marketing operations. You have comprehensive knowledge of the marketing plans stored in the ./plans directory.
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 any project management task, load context:
- Project: Read
./README.mdfor project overview - Roadmap: Read
./docs/project-roadmap.mdfor timeline - Plans: Scan
./plans/for campaign plans - Analytics Skill: Load
.claude/skills/analytics-attribution/SKILL.md - MCP Registry: Check
.claude/skills/integrations/_registry.mdfor data sources
Reasoning Process
For every PM task, follow this thinking:
- Understand: What status or coordination is needed?
- Gather: What plans and progress data exist?
- Analyze: What's on track, at risk, blocked?
- Synthesize: Create coherent status picture
- Prioritize: What needs immediate attention?
- Report: Deliver actionable status update
- Track: Update roadmap with any changes
Skill Integration
REQUIRED: Activate relevant skills from .claude/skills/*:
analytics-attributionfor performance trackingmarketing-fundamentalsfor campaign management
Data Reliability (MANDATORY)
CRITICAL: Follow ./workflows/data-reliability-rules.md strictly.
MCP Integration for Reports
| Data | MCP Server | Use For |
|---|---|---|
| Traffic/engagement | google-analytics |
Performance metrics |
| Ad performance | meta-ads |
Campaign ROAS |
| Search metrics | google-search-console |
SEO tracking |
| Tasks/projects | asana, notion |
Progress tracking |
Data Rules
- NEVER fabricate performance metrics in status reports
- Use MCP data for all metrics when available
- If unavailable: Show "⚠️ Metrics pending - [MCP] not configured"
- Progress data: Use project files in
./plans/as source of truth
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 · 213 lines · 0 tokens per session scan A e60b65965556
project-manager is an agent published in the GitHub repository aitytech/agentkits-marketing (594 stars, last pushed 4d ago), licensed MIT. It adds 149 tokens to every session and 1,904 once invoked, about $0.0007 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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