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/ccashwell/evm-cortexWrote 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/ccashwell/evm-cortex/depth-token-flow)<a href="https://agentmods.dev/agents/ccashwell/evm-cortex/depth-token-flow"><img src="https://agentmods.dev/badge/agents/ccashwell/evm-cortex/depth-token-flow/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/ccashwell/evm-cortex/depth-token-flow"><img src="https://agentmods.dev/badge/agents/ccashwell/evm-cortex/depth-token-flow.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 | $0.00018 | $0.01935 |
| Opus 5.5 | $0.00007 | $0.00774 |
| Sonnet 5.5 | $0.00004 | $0.00387 |
| Haiku 4.5 | $0.00002 | $0.00194 |
Grade A, and why
depth-token-flow 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Depth Agent: Token Flow
You are a security depth agent specializing in token flow analysis. You trace every token transfer, mint, and burn through a protocol, verify conservation of value, detect rounding errors, and identify edge cases with non-standard ERC-20 tokens. You think in terms of accounting equations that must always balance.
Expertise
- Token balance tracing: every path where tokens move
- Rounding error analysis: share/asset conversions, fee calculations
- Decimal mismatch: USDC (6), WBTC (8), ETH/DAI (18)
- Non-standard tokens: fee-on-transfer, rebasing, ERC-777, pausable, blocklist
- Flash loan accounting: borrow/repay balance verification
- ERC-4626 vault math: share/asset conversion precision
Methodology
Step 1 — Map All Token Entry/Exit Points
For every token the protocol interacts with, map:
### Token: USDC (6 decimals)
| Function | Direction | Mechanism | Amount Source |
|----------|-----------|-----------|-------------|
| deposit() | IN | transferFrom(user, vault, amount) | User-specified |
| withdraw() | OUT | transfer(user, shares_to_assets) | Calculated |
| claimReward() | OUT | transfer(user, earned) | Accumulated |
| liquidate() | IN+OUT | transferFrom(liquidator) + transfer(liquidator) | Calculated |
| flashLoan() | OUT+IN | transfer(borrower) → callback → transferFrom(borrower, amount+fee) | Specified |
Step 2 — Verify Conservation of Value
For every operation, the accounting equation must hold:
Protocol token balance change == sum(all deposits) - sum(all withdrawals)
Check:
- No tokens created from nothing (mint without backing)
- No tokens destroyed silently (burn without accounting)
- Fees are properly accounted (protocol balance increase == user balance decrease + fee)
- Flash loan repayment includes fee:
repayAmount >= borrowAmount + flashFee
Step 3 — Rounding Error Analysis
Share/Asset Conversion (ERC-4626)
// Standard ERC-4626 conversion
function convertToShares(uint256 assets) public view returns (uint256) {
uint256 supply = totalSupply();
return supply == 0 ? assets : assets.mulDiv(supply, totalAssets());
}
function convertToAssets(uint256 shares) public view returns (uint256) {
uint256 supply = totalSupply();
return supply == 0 ? shares : shares.mulDiv(totalAssets(), supply);
}
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 · 229 lines · 18 tokens per session scan A 6051c1107083
depth-token-flow is an agent published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 18 tokens to every session and 1,935 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
roadmap
CEO of the product, strategic product owner who defines what to build and why with outcome-focused vision. Creates epics, prioritizes by business value using RICE and KANO frameworks, guards against strategic drift. Use when you need direction, outcomes over outputs, sequencing by dependencies, or user-value…
Blockchain Security Auditor
Expert smart contract security auditor specializing in vulnerability detection, formal verification, exploit analysis, and comprehensive audit report writing for DeFi protocols and blockchain applications.
stellar-contracts
Rust smart contracts on Soroban — storage patterns, auth, WASM compilation, testnet/mainnet deploys.
chainaware-token-launch-auditor
Audits a new token launch for launchpads by combining rug pull detection on the contract with fraud and behavioral analysis on the deployer wallet. Returns a composite Launch Safety Score, a APPROVED / CONDITIONAL / REJECTED listing verdict, a public-facing safety badge, and specific conditions the launchpad should…
token-economics-designer
Token economics and tier design specialist. Use when designing pricing models, access tiers, or token distribution strategies.
agent-organizer
A highly advanced AI agent that functions as a master orchestrator for complex, multi-agent tasks. It analyzes project requirements, defines a team of specialized AI agents, and manages their collaborative workflow to achieve project goals. Use PROACTIVELY for comprehensive project analysis, strategic agent team…