Cross-chain bridge and multi-chain development expertise.
Execute comprehensive client-side injection vulnerability assessments on web applications to identify XSS and HTML injection flaws…
Cryptographic implementation analysis and validation for encryption algorithms, key sizes, and certificate management
/cs:gdpr-audit-prep <scope> — GDPR audit 6-question Article-cited forcing interrogation.
/cs:iso13485-audit-prep <scope> — ISO 13485 QMS audit 6-question forcing interrogation.
/cs:soc2-audit-prep <scope> — SOC 2 Type II readiness 6-question forcing interrogation.
Apply Customer.io security best practices.
Reference: https://cna.erlef.org/cve-criteria Verify the case specified by the user (or the current working case).
Medical device cybersecurity risk assessment skill per FDA premarket and postmarket guidance
This skill should be used when the user asks "how complex is this function", "count the branches", "find overly complex functions", "set a…
Run checks (lints, tests, etc.) using Dagger scafolding
DAO governance attack — flash-loan-backed vote manipulation, delegation hijack, quorum dilution, proposal-spam DoS, time-lock bypass via…
Audits one page against the accessibility criteria that can be checked from markup, names the WCAG success criterion behind each finding…
Process use when you need to work with security and compliance.
Use this skill to run DataHub's saved evals and report answers for judging.
Toolkit for interacting with and testing local web applications using Playwright.
Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files.
Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state…
Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts…
Builds and queries multi-language source code graphs for security analysis.
Runs full Trailmark structural analysis on Trailmark 0.2.x by building a graph, running `preanalysis()`, and reporting hotspots, taint…