Scan AI Skills and MCP servers before installation. Detect risky scripts, permissions, dependencies, network access, credential exposure, file changes, and suspicious configurations — then generate a clear evidence-based security report.
Review AI agents, automation workflows, and project architectures for design gaps, risks, missing requirements, and improvement opportunities.
This Skill is built on practical expertise in AI agent safety, prompt-injection defense, source-to-sink privacy review, tool and MCP metadata integrity, memory provenance checks, autonomous action scoping, and evidence-based verification. It helps agents separate instructions from evidence before tool calls, uploads, publishing, deletion, code execution, or network output.
This Skill is built on practical expertise in AI file-workflow governance, source authority classification, copy-first editing, prompt-injection resistance, private-to-external dataflow review, and publish/delete/send boundary checks. It helps AI agents decide what can be read, copied, edited, deleted, zipped, or sent while keeping originals protected and untrusted file, web, or tool content from becoming instructions.
Forces AI agents to anchor every interview answer in verified company facts, mark all personal examples as [USER_INPUT_REQUIRED] until you provide them, and label every unsourced claim — so nothing fabricated makes it into your next interview.
Forces AI coding agents to read exports, callers, and shared utilities before touching any file — then restricts every edit to the declared scope, flags conflicting patterns for human resolution, and reports any file touched outside the boundary.
Audit AI agent workspaces for authority, secrets, data flow, memory, supply-chain, and evidence risks—locally and without executing target code.
Pre-submission quality gate for AI-generated broadcast scripts. Catches timing errors, sponsor name mistakes, host voice drift, missing stage directions, and unverified facts before they reach production. 8 documented failure patterns. Works for podcasts, YouTube, and live broadcast.
I've spent years building production software, designing enterprise architectures, reviewing thousands of code changes, and optimizing AI-assisted development workflows. This Skill packages proven engineering, planning, documentation, testing, and code-review practices into a lightweight workflow that helps AI understand any project before making changes, reducing mistakes, hallucinations, unnecessary token usage, and repeated context loading.