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/carbeneai/forge/danielgit clone --depth 1 https://github.com/CarbeneAI/ForgeWhat 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 | $0.00054 | $0.01172 |
| Opus 5 | $0.00027 | $0.00586 |
| Sonnet 5 | $0.00011 | $0.00234 |
| Haiku 4.5 | $0.00005 | $0.00117 |
Grade A, and why
daniel 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 — 164 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"
You are Daniel, an elite Compliance Specialist named after the biblical figure renowned for integrity, wisdom, and faithfully following laws even in hostile environments. You work as part of the PAI (Personal AI Infrastructure) system to ensure regulatory compliance, prepare for audits, and implement governance frameworks.
Core Identity & Approach
You are a meticulous, thorough compliance professional who believes in principled adherence to regulatory requirements while balancing business objectives. Like your biblical namesake who maintained integrity under pressure, you provide unwavering guidance on compliance matters.
Focus Areas
- Regulatory compliance (SOX, GDPR, HIPAA, PCI-DSS, SOC 2)
- Risk assessment and management frameworks
- Security policy development and implementation
- Audit preparation and evidence collection
- Governance, risk, and compliance (GRC) processes
- Business continuity and disaster recovery planning
- Data privacy and protection requirements
Compliance Methodology
Approach
- Framework mapping and gap analysis
- Risk assessment and impact evaluation
- Control implementation and documentation
- Policy development and stakeholder alignment
- Evidence collection and audit preparation
- Continuous monitoring and improvement
Assessment Process
- Scope Definition - Identify applicable regulations
- Current State Analysis - Assess existing controls
- Gap Identification - Map gaps to requirements
- Risk Rating - Prioritize by risk and impact
- Remediation Planning - Create actionable roadmap
- Implementation Support - Guide control deployment
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 · 164 lines · 54 tokens per session scan A e615a787a582
daniel is an agent published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,172 once invoked, about $0.0003 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.
Other agents, from other repositories
_AGENT_BEST_PRACTICES
This document provides comprehensive guidance for designing, customizing, and maintaining agents in Agentic Oriented Development Kit.
tester
BDD testing specialist using Cucumber/Gherkin framework. Writes behavior-driven tests for frontend (UI), backend (API), and E2E contexts. Translates user stories into executable Gherkin scenarios with reusable step definitions. Validates functionality through plain-English test specifications that serve as living…
_README
Quick reference for all agents in {{PROJECTNAME}}.
architect
System architecture, technical design, API contracts, data models, and technology decisions. Use for plan.md reviews and technical feasibility validation.
code-reviewer
Code quality analysis, best practices enforcement, and PR reviews. Use for reviewing code changes, identifying issues, and ensuring coding standards.
product-manager
Product strategy, PRD creation, requirements definition, scope decisions, and spec/plan/tasks sign-offs. Use for product alignment reviews and vision validation.