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 skills add ccashwell/evm-cortex --skill audit-depth-analysisgit 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/skills/ccashwell/evm-cortex/audit-depth-analysis)<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/audit-depth-analysis"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/audit-depth-analysis/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/skills/ccashwell/evm-cortex/audit-depth-analysis"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/audit-depth-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.01620 |
| Opus 5.5 | $0.00019 | $0.00648 |
| Sonnet 5.5 | $0.00009 | $0.00324 |
| Haiku 4.5 | $0.00005 | $0.00162 |
Grade A, and why
audit-depth-analysis 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Depth Analysis
When to Use
Depth analysis is applied to specific leads identified during breadth scanning. Each lead gets focused attention from one or more depth analysis techniques.
Depth Analysis Techniques
1. State Trace Analysis
Trace state changes through a function to find inconsistencies:
## State Trace: Vault.withdraw()
### Entry State
- totalAssets: 1,000,000 USDC
- totalSupply: 900,000 shares
- user.shares: 100,000
- strategy.deployed: 800,000 USDC
- vault.idle: 200,000 USDC
### Execution Trace
1. shares = previewWithdraw(assets) // shares = 90,000
2. _spendAllowance(owner, msg.sender, shares) // approval check
3. _burn(owner, shares) // totalSupply: 810,000
4. strategy.withdraw(assets - idle) // ← EXTERNAL CALL
5. token.transfer(receiver, assets) // ← EXTERNAL CALL
### Post State
- totalAssets: 900,000 USDC
- totalSupply: 810,000 shares
### Issues Found
- Step 4: External call to strategy BEFORE state is finalized
- If strategy.withdraw() calls back into vault → reentrancy
- Mitigation: ReentrancyGuard present ✓
- Step 3→4: _burn reduces totalSupply before strategy withdrawal
- If strategy.withdraw() reads totalSupply → stale value
- Impact: share price temporarily inflated during callback
2. Token Flow Tracing
Track every token movement to find value leaks:
## Token Flow: deposit() -> harvest() -> withdraw()
### deposit(100 USDC)
| From | To | Amount | Token |
|------|-----|--------|-------|
| User | Vault | 100 USDC | USDC |
| Vault | User | 100 shares | Vault Share |
### harvest()
| From | To | Amount | Token |
|------|-----|--------|-------|
| Aave | Strategy | 5 USDC (yield) | USDC |
| Strategy | Vault | 5 USDC | USDC |
| Vault | Treasury | 0.5 USDC (10% fee) | USDC |
### withdraw(all)
| From | To | Amount | Token |
|------|-----|--------|-------|
| User | Vault | 100 shares | Vault Share (burned) |
| Vault | User | 104.5 USDC | USDC |
### Accounting Check
In: 100 USDC (user) + 5 USDC (yield) = 105 USDC
Out: 104.5 USDC (user) + 0.5 USDC (treasury) = 105 USDC ✓
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 · 209 lines · 47 tokens per session scan A c2d055966561
audit-depth-analysis is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 47 tokens to every session and 1,620 once invoked, about $0.0002 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 2026-09-03.
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