Generate severity-labeled audit reports with file and line evidence.
npx skills add https://github.com/mrsknetwork/nemodev --skill audit-mrsknetwork
Please help me install this Agent Skill. Skill: audit Source: https://github.com/mrsknetwork/nemodev/tree/main/skills/domains/references/audit Command: npx skills add https://github.com/mrsknetwork/nemodev --skill audit-mrsknetwork
Auditing is the quality gate that catches what the executor misses. It provides an independent, systematic review of the codebase against a predefined checklist, delivering findings that are actionable rather than vague suggestions.
Run an audit pass on the repository to generate a severity-labeled findings report.
High-intent search queries and answers about installing and using this skill.
To generate a structured code audit report, you run an audit pass on the repository to produce a severity-labeled findings report. This evaluates code quality, security, and architectural compliance with actionable remediation guidance.
Performing a security assessment on a multi-language codebase requires a systematic review against a formal severity taxonomy. This process delivers evidence-rich findings with file and line evidence to identify risks and provide actionable remediation steps.
Yes, code review auditing works for evaluating technical debt across different programming languages. It applies a systematic review process to identify structured findings, categorizing technical debt by severity with specific file and line evidence for stakeholder sign-off.
To format code review findings as actionable, you must structure them with a formal severity taxonomy and include evidence-rich details. Each finding should contain the file, line, code snippet, risk, and specific remediation guidance for the developer.
Yes, you can use architectural compliance auditing to generate reports suitable for release readiness sign-off. The audit produces an auditable report output with structured findings and severity levels, ensuring stakeholders can verify release readiness.
Evaluating architectural compliance and security risks requires a formal severity taxonomy to categorize findings. This ensures that codebase audits deliver evidence-rich findings with consistent risk levels and actionable remediation guidance for technical debt evaluations.
securityreviewaiAnalyzes Git repositories to produce summaries of their structure, risks, and key components.
pixel-cellarScan repositories for debt indicators and maintain a prioritized debt ledger.
iiammaeMap SARIF and weAudit findings onto Trailmark code graphs for security audits.
dreadnodeFilter low-quality and false positive vulnerability findings from scanners and agent output.
