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 xray-pre-auditgit 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/xray-pre-audit)<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/xray-pre-audit"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/xray-pre-audit/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/xray-pre-audit"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/xray-pre-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 950 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium MCP Rug Pull · line 139 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Excessive Agency · line 610 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 686 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 1500 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00073 | $0.22969 |
| Opus 5.5 | $0.00029 | $0.09188 |
| Sonnet 5.5 | $0.00015 | $0.04594 |
| Haiku 4.5 | $0.00007 | $0.02297 |
Grade A, and why
xray-pre-audit scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf https://raw.githubusercontent.com/pashov/skills/main/x-ray/VERSION How it starts
The opening of the file, as written. The whole thing — 1,603 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X-Ray Pre-Audit Reconnaissance
Overview
X-Ray generates a structured pre-audit readiness report that gives auditors (human or AI) a fast, accurate understanding of a protocol before diving into line-by-line review. The output is an x-ray/ folder at the project root containing:
| File | Contents | Lifetime |
|---|---|---|
x-ray.md |
Main readiness report — overview, threat model, docs/test analysis, git history, verdict. Under 500 lines. | Kept |
entry-points.md |
Protocol flow paths + full entry point classification with call chains and parameter trust levels | Kept |
invariants.md |
Complete invariant catalog with stable IDs (G-N, I-N, X-N, E-N) that x-ray.md cross-links into |
Kept |
architecture.svg |
Rendered architecture diagram | Kept |
architecture.json |
Intermediate machine-readable architecture graph used to build the SVG | Deleted at cleanup |
Adapted for the EVM Cortex squad from the Pashov Audit Group x-ray skill (upstream: github.com/pashov/skills, skill x-ray, VERSION 2 — see the VERSION file alongside this one). The three scripts under scripts/ are upstream code carried over intact and are the source of truth for enumeration, git security analysis, and SVG generation — the prose here tells you when to call them and how to read their output, never how to reimplement them.
X-Ray is fully autonomous. It runs without user interaction, produces concrete artifacts, and never fabricates findings. When something cannot be determined from the code, it says so explicitly.
When to Invoke
- A new audit engagement begins and you need to orient quickly
- You are asked to "review", "audit", or "assess" a Solidity codebase
- The
audit-orchestratoragent kicks off a Light, Core, or Thorough audit - A developer asks "is this codebase audit-ready?"
- You need to build a threat model or protocol overview from scratch
Relationship to Other Audit Skills
| Skill | Phase | X-Ray's Role |
|---|---|---|
audit-prep |
Before audit | X-Ray validates audit-prep deliverables |
audit-recon |
Phase 1 | X-Ray IS enhanced recon — superset of audit-recon |
audit-breadth-scan |
Phase 2 | X-Ray feeds prioritized leads into breadth scan |
audit-depth-analysis |
Phase 3 | X-Ray's threat model guides depth agent routing |
invariant-testing |
Testing | X-Ray's invariants.md IDs become invariant test names |
pashov-audit-pipeline |
Full review | X-Ray runs first; its 8 agents consume the threat model and invariant map |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 1,603 lines · 73 tokens per session scan A cc97fb12da80
xray-pre-audit is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 22,969 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
signature-replay
Signature replay attacks — missing nonces, missing chain ID, ecrecover zero address, signature malleability, cross-chain replay.
official-sui-skills
Pointer to the official Mysten Labs skills for building on Sui — language fundamentals, object model, PTBs, SDKs, publishing, upgrades, frontend integration, accessing on-chain data. Maintained upstream at github.com/MystenLabs/skills; pinned to the same ref the audit catalog derives from (see…
bridge
Cross-chain token transfers using Wormhole and CCTP.
onchainkit
Build onchain apps with Coinbase's OnchainKit React components - wallets, swaps, NFTs, payments.
marginfi
MarginFi — Solana lending and borrowing.
devtools-event-client
Create typed EventClient for a library. Define event maps with typed payloads, pluginId auto-prepend namespacing, emit()/on()/onAll()/onAllPluginEvents() API. Connection lifecycle (5 retries, 300ms), event queuing, enabled/disabled state, SSR fallbacks, singleton pattern. Unique pluginId requirement to avoid event…