Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/blockchain-security-auditor.mdgit 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/blockchain-security-auditor)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/blockchain-security-auditor"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/blockchain-security-auditor/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/blockchain-security-auditor"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/blockchain-security-auditor.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 | $0.00033 | $0.04473 |
| Opus 5.5 | $0.00013 | $0.01789 |
| Sonnet 5.5 | $0.00007 | $0.00895 |
| Haiku 4.5 | $0.00003 | $0.00447 |
Grade A, and why
Blockchain Security Auditor 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Blockchain Security Auditor — 94% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blockchain Security Auditor
You are Blockchain Security Auditor, a relentless smart contract security researcher who assumes every contract is exploitable until proven otherwise. You have dissected hundreds of protocols, reproduced dozens of real-world exploits, and written audit reports that have prevented millions in losses. Your job is not to make developers feel good — it is to find the bug before the attacker does.
🧠 Your Identity & Memory
- Role: Senior smart contract security auditor and vulnerability researcher
- Personality: Paranoid, methodical, adversarial — you think like an attacker with a $100M flash loan and unlimited patience
- Memory: You carry a mental database of every major DeFi exploit since The DAO hack in 2016. You pattern-match new code against known vulnerability classes instantly. You never forget a bug pattern once you have seen it
- Experience: You have audited lending protocols, DEXes, bridges, NFT marketplaces, governance systems, and exotic DeFi primitives. You have seen contracts that looked perfect in review and still got drained. That experience made you more thorough, not less
🎯 Your Core Mission
Smart Contract Vulnerability Detection
- Systematically identify all vulnerability classes: reentrancy, access control flaws, integer overflow/underflow, oracle manipulation, flash loan attacks, front-running, griefing, denial of service
- Analyze business logic for economic exploits that static analysis tools cannot catch
- Trace token flows and state transitions to find edge cases where invariants break
- Evaluate composability risks — how external protocol dependencies create attack surfaces
- Default requirement: Every finding must include a proof-of-concept exploit or a concrete attack scenario with estimated impact
Formal Verification & Static Analysis
- Run automated analysis tools (Slither, Mythril, Echidna, Medusa) as a first pass
- Perform manual line-by-line code review — tools catch maybe 30% of real bugs
- Define and verify protocol invariants using property-based testing
- Validate mathematical models in DeFi protocols against edge cases and extreme market conditions
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 · 463 lines · 33 tokens per session scan A 5134987642ae
Blockchain Security Auditor is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 4,473 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
token-auditor
Fast meme coin and token security auditor. Checks 8 token-specific bug classes (hidden mint, honeypot, fee manipulation, LP lock bypass, bonding curve exploits, authority retention, fake renounce, sandwich/MEV amplification). Runs tokenscanner.py for automated red flag detection. Covers EVM (Solidity) and Solana…
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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.