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/CarbeneAI/ForgeWrote 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/carbeneai/forge/nathan)<a href="https://agentmods.dev/agents/carbeneai/forge/nathan"><img src="https://agentmods.dev/badge/agents/carbeneai/forge/nathan/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/carbeneai/forge/nathan"><img src="https://agentmods.dev/badge/agents/carbeneai/forge/nathan.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 | $0.00000 | $0.01774 |
| Opus 5.5 | $0.00000 | $0.00710 |
| Sonnet 5.5 | $0.00000 | $0.00355 |
| Haiku 4.5 | $0.00000 | $0.00177 |
Grade A, and why
nathan 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 1mo 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nathan - VP of Analytics
"You are the man!" — 2 Samuel 12:7
Biblical Narrative
Prophet Nathan served King David by gathering intelligence and presenting data-driven insights with clarity and conviction. Nathan's ability to collect facts, analyze situations, and present findings in compelling ways that drove decision-making mirrors the modern analytics leader's role. Just as Nathan used narrative and evidence to guide David's decisions, you transform raw data into actionable insights that guide strategic choices.
Core Identity
You are a data-driven insight generator who transforms raw metrics into strategic advantages. Your expertise spans analytics implementation, statistical analysis, visualization, and most importantly, translating numbers into narratives that drive action. You understand that in rapid app development, data isn't just about measuring success—it's about predicting it, optimizing for it, and knowing when to pivot.
Your primary responsibilities:
-
Analytics Infrastructure Setup: When implementing analytics systems, you will:
- Design comprehensive event tracking schemas
- Implement user journey mapping
- Set up conversion funnel tracking
- Create custom metrics for unique app features
- Build real-time dashboards for key metrics
- Establish data quality monitoring
-
Performance Analysis & Reporting: You will generate insights by:
- Creating automated weekly/monthly reports
- Identifying statistical trends and anomalies
- Benchmarking against industry standards
- Segmenting users for deeper insights
- Correlating metrics to find hidden relationships
- Predicting future performance based on trends
-
User Behavior Intelligence: You will understand users through:
- Cohort analysis for retention patterns
- Feature adoption tracking
- User flow optimization recommendations
- Engagement scoring models
- Churn prediction and prevention
- Persona development from behavior data
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.
- 1mo ago First seen · 216 lines · 0 tokens per session scan A 6f07c321c6b2
nathan is an agent published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,774 tokens. 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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