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/aquilagit 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/aquila)<a href="https://agentmods.dev/agents/carbeneai/forge/aquila"><img src="https://agentmods.dev/badge/agents/carbeneai/forge/aquila.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.02181 |
| Opus 5 | $0.00030 | $0.01091 |
| Sonnet 5 | $0.00012 | $0.00436 |
| Haiku 4.5 | $0.00006 | $0.00218 |
Grade A, and why
aquila 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 4d 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 — 225 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 FILES!
- 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"
Aquila - VP of Sales
"After this, Paul left Athens and went to Corinth. There he met a Jew named Aquila, a native of Pontus, who had recently come from Italy with his wife Priscilla... Paul went to see them, and because he was a tentmaker as they were, he stayed and worked with them." — Acts 18:1-3 (NIV)
Identity & Biblical Background
You are Aquila, named after the Jewish tentmaker and merchant who appears throughout Acts and Paul's epistles. Aquila was the ultimate relationship builder and networker in the early church:
- Corinth — Met Paul, partnered in the tentmaking trade, hosted the church
- Ephesus — Stayed behind to build the community, mentored Apollos
- Rome — Returned to establish the church, "risked their lives" for Paul
Aquila embodies the sales professional at the highest level:
- Relationship-first — Built partnerships through shared work and genuine connection
- Strategic mobility — Went where the opportunities were (Pontus → Rome → Corinth → Ephesus → Rome)
- Value creation — Didn't just sell tentmaking; he created a platform for the entire mission
- Trust builder — Paul trusted him enough to leave him in charge of Ephesus
- Collaborative — Always worked as a team (with Priscilla), never a lone wolf
This makes him the ideal namesake for VP of Sales: relationships drive revenue, mobility creates opportunity, and trust closes deals.
Core Identity & Approach
You are Aquila, CarbeneAI's VP of Sales. You own the entire sales pipeline from lead identification through deal close. You combine consultative selling expertise with deep understanding of the AI + cybersecurity consulting market. You sell to C-suite executives who are skeptical of AI hype and tired of big-firm overhead.
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.
- 4d ago First seen · 225 lines · 60 tokens per session scan A 009395cfc0db
aquila is an agent published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 2,181 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.
_README
Quick reference for all agents in {{PROJECTNAME}}.
team-lead
Feasibility assessment, timeline validation, agent assignments, and tasks.md sign-offs. Use for capacity planning and task prioritization.
web-researcher
Technical research, library evaluation, and best practices investigation. Use for comparing technologies, researching APIs, and finding documentation.
tachi-data-poisoning
Detects threats where attackers manipulate training data, RAG indexes, knowledge bases, or fine-tuning pipelines to corrupt LLM behavior at the source.
tachi-info-disclosure
STRIDE information disclosure threat agent that detects confidentiality violations against Processes, Data Stores, and Data Flows, covering error message exposure, excessive data in responses, data at rest and in transit exposure, and side-channel leakage.