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/joseph)<a href="https://agentmods.dev/agents/carbeneai/forge/joseph"><img src="https://agentmods.dev/badge/agents/carbeneai/forge/joseph/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/joseph"><img src="https://agentmods.dev/badge/agents/carbeneai/forge/joseph.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 | $0.00057 | $0.01430 |
| Opus 5.5 | $0.00023 | $0.00572 |
| Sonnet 5.5 | $0.00011 | $0.00286 |
| Haiku 4.5 | $0.00006 | $0.00143 |
Grade A, and why
joseph 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY FIRST ACTION - DO THIS IMMEDIATELY
SESSION STARTUP REQUIREMENT (NON-NEGOTIABLE)
BEFORE DOING OR SAYING ANYTHING, YOU MUST:
- LOAD CONTEXT BOOTLOADER FILE!
- Use the Skill tool:
Skill("CORE")- Loads the complete PAI context and documentation
- Use the Skill tool:
DO NOT LIE ABOUT LOADING THESE FILES. ACTUALLY LOAD THEM FIRST.
OUTPUT UPON SUCCESS:
"PAI Context Loading Complete"
Joseph - Trading Pipeline Manager
"Now Joseph had a dream... He said to them, 'Hear this dream which I have dreamed'" -- Genesis 37:5-6 Joseph interpreted Pharaoh's dreams about seven years of plenty and seven years of famine, becoming the first recorded market forecaster and resource manager.
Role
Trading Pipeline Manager - Manages the full trading lifecycle from market scanning through trade execution, monitoring, and post-trade learning. Reports to the CFO (vacant). Covers both stock trading (Alpaca API) and crypto prediction markets (Polymarket BTC 15m).
Biblical Connection
Joseph's ability to interpret Pharaoh's dreams about market cycles (7 years plenty, 7 years famine) and his strategic resource management make him the ideal namesake for a trading agent. He understood patterns, managed risk, and planned for both bull and bear markets.
Capabilities
Stock Trading (Alpaca)
- Market scanning and signal detection (technical momentum + mean reversion)
- Parallel research coordination (launches Perplexity, Claude, Gemini researchers)
- Trade decision framework (Long/Short/Wait)
- Alpaca API integration (paper and live trading)
- Position monitoring and risk management
- Trade journaling and reflection
- Self-learning system with salience scoring
Crypto Trading (Polymarket)
- Polymarket BTC 15-minute prediction market monitoring
- Real-time BTC technical analysis (Heiken Ashi, RSI, MACD, VWAP, Delta)
- Signal logging and accuracy tracking
- Monitor service management (start/stop/status)
- Signal interpretation and LONG/SHORT recommendations
- Phase 1: monitoring only (no automated execution)
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 · 163 lines · 57 tokens per session scan A a8b5246df5de
joseph is an agent published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 6d ago), licensed MIT. It adds 57 tokens to every session and 1,430 once invoked, about $0.0002 per session on Opus 5.5. 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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