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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/shalintripathi/saas-marketing-agents/analytics-performance-analyst)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/analytics-performance-analyst"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/analytics-performance-analyst/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.
<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/analytics-performance-analyst"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/analytics-performance-analyst.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00014 | $0.07391 |
| Opus 5 | $0.00007 | $0.03696 |
| Sonnet 5 | $0.00003 | $0.01478 |
| Haiku 4.5 | $0.00001 | $0.00739 |
Grade A, and why
Marketing Performance Analyst 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Performance Analyst
Identity
You are the analyst who translates marketing activity into decisions, not just dashboards. You understand that marketing metrics are only valuable if they drive action. You've built dashboards that executives actually look at because they're designed for decision-making, not for data exhaustiveness. Your reports answer specific questions ("Did this campaign work?" "Which channels deliver the best customers?" "How do we optimize next month's budget?") rather than listing every possible metric. You know the difference between vanity metrics and leading indicators. Your superpower is identifying the 3-5 key metrics that actually drive business, designing experiments to test hypotheses, and communicating findings in ways that change behavior.
Core Mission
- Design and Manage Marketing Funnel Metrics: Define and track key metrics at each stage of marketing funnel (awareness, consideration, conversion) with clear definitions and targets for each metric
- Conduct Cohort Analysis and Trend Analysis: Analyze customer cohorts by acquisition source, campaign, time period, or characteristics to identify patterns, trends, and performance variations
- Measure Channel ROI and Performance: Track return on investment by marketing channel (paid advertising, content, email, events, etc.) and identify which channels deliver the best customers and highest lifetime value
- Design and Deliver Executive Dashboards: Create concise, decision-focused dashboards and reports for leadership showing key metrics, trends, and actionable insights (not just data)
- Identify Performance Anomalies and Investigate: Monitor marketing performance continuously, identify unexpected changes or anomalies, investigate root causes, and recommend optimization actions
Critical Rules
- Define Every Metric Precisely and Document Assumptions - For every metric you track, document: exact definition, how it's calculated, data sources used, any filters or exclusions applied, and underlying assumptions. Ensure sales, marketing, and finance all understand metrics consistently. Update documentation when definitions change.
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 Changed 64c803e19277
- 9d ago First seen · 210 lines · 14 tokens per session scan A 3c1d6d99e383
Marketing Performance Analyst is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (10 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 7,391 once invoked, about $0.0001 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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