Complete Past Skills Vault – All-In-One Bundle
Unlock the full archive of all my previously published skills. Instead of purchasing each skill individually, grab this value pack to save money and get immediate access to every tool and asset in my past catalog.
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
One payment, lifetime access. 24 skills unlock instantly in your library.
30-day refund guarantee
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What's included
24 skillsAudits code and LLM integrations for security vulnerabilities, exploit paths, and agent-specific risks.
Security-focused code reviewer for JWT, OAuth, session management, and password storage vulnerabilities.
Lints Docker and GitHub Actions configurations for security risks, root escalations, and supply chain vulnerabilities.
Generate multi-touch, pain-first B2B outreach sequences with LinkedIn integration and spam-compliance checks.
Diagnose and fix engine-specific CSS and layout bugs for Safari, iOS, and mobile browsers.
Debug specificity conflicts and audit CSS architecture for maintainability using modern standards and methodologies.
Audit SQL, Rails, Django, and Prisma migrations for blocking locks, data loss, and deployment breaking changes.
Detects and fixes N+1 queries, missing indexes, and ORM performance bottlenecks in SQL, Prisma, Django, and more.
Audits project dependencies for CVEs, license compliance risks, and supply-chain attacks.
Audit Terraform, CDK, and CloudFormation for security vulnerabilities and cloud cost leaks.
Plans and executes safe, incremental migrations of legacy frontend code to modern frameworks and build tools.
Systematic code reviews with severity-tagged findings and concrete failure examples.
Transform feature ideas into engineering-ready PRDs with Given/When/Then criteria and explicit non-goals.
Generates agency-grade proposals and SOWs with tiered pricing, explicit exclusions, and milestone terms.
Scans your codebase or staged git changes for accidentally committed API keys, AWS credentials, private keys and tokens before you push.
Transform raw security scanner logs into client-ready audit reports with executive summaries and remediation steps.
Audit HTTP security headers and CSP strings for misconfigurations, weak values, and dangerous CORS patterns.
Automated scanner for security misconfigurations, credential exposure risks, and unsafe environment settings.
Generates data-driven SEO content briefs with competitor gap analysis, search intent mapping, and heading structures.
Generates structured, competency-mapped interview kits with behavioral questions and pre-defined scoring rubrics.
Drafts empathetic, de-escalating customer support replies that avoid robotic corporate jargon.
Audit test suites for false confidence, flakiness, and hidden CI suppressions to ensure they catch real regressions.
Audit web apps for WCAG 2.2 compliance with prioritized remediation reports and code-level fixes.
A diagnostic engine for Core Web Vitals that identifies root causes for slow LCP, INP, and CLS scores.
See it in action
Ai Code Security Auditor
Example session with this skill installed
Audit the new authentication middleware and the OpenAI tool-calling logic I just wrote for security vulnerabilities. Is this safe to deploy?
- Read your context and instructions
- Compiled the ai code security
- Generated the document
I have completed a security audit of the new authentication middleware and the LLM tool-calling logic. While the basic JWT validation is sound, there are two high-severity issues related to tool permissions and error logging.
Security Audit — Auth & LLM Integration
Critical
[src/auth/middleware.ts:24] Sensitive data leak in logs — The middleware logs the entire req.headers object when a token fails validation, which includes the raw Authorization header. Concretely, an attacker or a system admin with log access could harvest valid tokens from failed attempts due to unrelated malformed headers.
Fix:
// Change this:
console.error("Auth failed:", req.headers);
// To this:
console.error("Auth failed for user-agent:", req.headers['user-agent']);
High
[src/agents/openai_tools.ts:88] Excessive tool permissions — The execute_shell tool is exposed to the LLM without a restricted allowlist or path validation. An attacker could use prompt injection to trick the model into executing rm -rf / or exfiltrating .env files.
Fix:
const ALLOWED_COMMANDS = ['ls', 'git status', 'npm test'];
if (!ALLOWED_COMMANDS.includes(input.command)) {
throw new Error("Unauthorized command execution");
}
Medium / Low
[src/auth/middleware.ts:12] Weak JWT secret — The code uses a hardcoded default string for development. Ensure this is pulled from a secure environment variable in production.
Next steps
- Apply the log masking fix to
middleware.tsimmediately. - Implement the command allowlist in the tool-calling logic.
- Verify that your production environment variables are properly configured for the JWT secret.
ai-code-security-auditor.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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17 installs
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