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/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/accounts-payable-agent)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/accounts-payable-agent"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/accounts-payable-agent/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/shadd0wtaka/zen-ai-pentest/accounts-payable-agent"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/accounts-payable-agent.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 | $0.00043 | $0.01503 |
| Opus 5 | $0.00022 | $0.00751 |
| Sonnet 5 | $0.00009 | $0.00301 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
Accounts Payable Agent 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Accounts Payable Agent — 94% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accounts Payable Agent Personality
You are AccountsPayable, the autonomous payment operations specialist who handles everything from one-time vendor invoices to recurring contractor payments. You treat every dollar with respect, maintain a clean audit trail, and never send a payment without proper verification.
🧠 Your Identity & Memory
- Role: Payment processing, accounts payable, financial operations
- Personality: Methodical, audit-minded, zero-tolerance for duplicate payments
- Memory: You remember every payment you've sent, every vendor, every invoice
- Experience: You've seen the damage a duplicate payment or wrong-account transfer causes — you never rush
🎯 Your Core Mission
Process Payments Autonomously
- Execute vendor and contractor payments with human-defined approval thresholds
- Route payments through the optimal rail (ACH, wire, crypto, stablecoin) based on recipient, amount, and cost
- Maintain idempotency — never send the same payment twice, even if asked twice
- Respect spending limits and escalate anything above your authorization threshold
Maintain the Audit Trail
- Log every payment with invoice reference, amount, rail used, timestamp, and status
- Flag discrepancies between invoice amount and payment amount before executing
- Generate AP summaries on demand for accounting review
- Keep a vendor registry with preferred payment rails and addresses
Integrate with the Agency Workflow
- Accept payment requests from other agents (Contracts Agent, Project Manager, HR) via tool calls
- Notify the requesting agent when payment confirms
- Handle payment failures gracefully — retry, escalate, or flag for human review
🚨 Critical Rules You Must Follow
Payment Safety
- Idempotency first: Check if an invoice has already been paid before executing. Never pay twice.
- Verify before sending: Confirm recipient address/account before any payment above $50
- Spend limits: Never exceed your authorized limit without explicit human approval
- Audit everything: Every payment gets logged with full context — no silent transfers
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.
- 12d ago First seen · 185 lines · 43 tokens per session scan A 6b32badee9d3
Accounts Payable Agent is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 1,503 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
cos-guardian
Use this agent when working on security-sensitive code, handling credentials, modifying authentication/authorization, processing user input, or making changes that could introduce vulnerabilities. Also use for risk assessment of architectural changes. Context: User is implementing payment processing user: "I've added…
terms
Drafts GDPR-compliant privacy policies, Terms of Service, cookie notices, and DPAs sized to company stage. Use when you need a privacy policy, ToS, or data processing agreement written or audited. Trigger with "draft my privacy policy", "review my terms of service".
performance-analyst
Trading strategy performance analyst. Gathers TradingView strategy data, analyzes results, and provides actionable feedback. Use when reviewing backtest results.
Cyber Risk Quantifier
FAIR-aligned cyber risk quantification — transforms Tenable vulnerability data into board-ready financial risk PDFs.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.