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Vc Security

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withkynam
vc-security

STRIDE + OWASP-based security audit with optional auto-fix. Scans code for vulnerabilities, categorizes by severity, and can iteratively fix findings using vc-autoresearch pattern.

Overview

Publisherwithkynam
Repositoryvibecode-pro-max-kit
Skill namevc-security
Stars
1.1K
Forks
234
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by withkynam on GitHub. Read the source before you install it.

Installation

Install the Vc Security AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-security
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/withkynam/vibecode-pro-max-kit.git /tmp/vibecode-pro-max-kit
mkdir -p .claude/skills
cp -r /tmp/vibecode-pro-max-kit/.claude/skills/vc-security .claude/skills/vc-security
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vc Security in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vc Security on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vc Security is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

vc-security — Security Audit

Output style: Follow process/development-protocols/communication-standards.md — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

Runs a structured STRIDE + OWASP security audit on a given scope. Produces a severity-ranked findings report. With --fix, applies fixes iteratively using the vc-autoresearch guard pattern.

When to Use

  • Before a release or major deployment
  • After adding auth, payment, or data-handling features
  • Periodic security review (monthly/quarterly)
  • Compliance check (SOC 2, GDPR, PCI-DSS prep)

When NOT to Use

  • Purely cosmetic changes (CSS, copy edits)
  • No user-facing code or data handling involved

Modes

ModeInvocationBehavior
Audit only/vc-security <scope>Scan → categorize → report
Audit + Fix/vc-security <scope> --fixScan → categorize → fix iteratively
Bounded fix/vc-security <scope> --fix --iterations NLimit fix iterations to N

Audit Methodology

1. Scope Resolution

Expand the provided glob or full keyword into a file list. Read all in-scope files before analysis.

2. STRIDE Analysis

Evaluate each threat category systematically:

  • Spoofing — identity/authentication weaknesses
  • Tampering — input validation, integrity controls
  • Repudiation — audit logging gaps
  • Information Disclosure — data leakage, secret exposure
  • Denial of Service — rate limits, resource exhaustion
  • Elevation of Privilege — broken access control, RBAC gaps

3. OWASP Top 10 Check

Map findings to OWASP categories (A01–A10). See references/stride-owasp-checklist.md for per-category checks.

4. Dependency Audit

Run the appropriate package audit tool for the detected stack:

  • Node.js: pnpm audit
  • Python: pip-audit
  • Go: govulncheck
  • Ruby: bundle audit

5. Secret Detection

Scan for hardcoded API keys, passwords, tokens, and private keys using regex patterns. See references/stride-owasp-checklist.md → Secret Patterns.

6. Finding Categorization

Assign each finding a severity level (see Severity Definitions below).


Output Format

## Security Audit Report

### Summary
- Files scanned: N
- Findings: X critical, Y high, Z medium, W low, V info

### Findings

| # | Severity | Category | File:Line | Description | Fix Recommendation |
|---|----------|----------|-----------|-------------|-------------------|
| 1 | Critical  | Injection | api/users.ts:45 | SQL string concatenation | Use parameterized queries |
| 2 | High      | Auth      | auth/login.ts:12 | No rate limiting | Add express-rate-limit |

Fix Mode (--fix)

When --fix is provided, apply fixes iteratively after the audit:

  1. Sort all findings by severity (Critical → High → Medium → Low)
  2. For each finding: a. Apply one targeted fix b. Run guard (tests or lint) to verify no regression c. Commit: security(fix-N): <short description> d. Advance to next finding
  3. Stop early if guard fails — report the failure instead of proceeding
  4. Uses vc-autoresearch guard pattern for regression prevention

Tip: Use --iterations N to cap total fix iterations when scope is large.


Severity Definitions

SeverityDescriptionFix Priority
CriticalExploitable now, data breach or RCE riskImmediate — block release
HighExploitable with moderate effort, significant impactThis sprint
MediumLimited exploitability or impactNext sprint
LowTheoretical risk, defense-in-depth improvementBacklog
InfoBest practice suggestion, no direct riskOptional

Integration with Other Skills

  • Run after vc-predict when the security persona flags concerns
  • Feed Critical/High findings into vc-autoresearch --fix for automated remediation
  • Use vc-scenario with --focus authorization for deeper auth flow testing
  • Pair with generate-plan / plan-agent to schedule Medium/Low findings as sprint tasks

Example Invocations

bash
# Audit API layer only
/vc-security src/api/**/*.ts

# Audit entire src/ and auto-fix, max 15 iterations
/vc-security src/ --fix --iterations 15

# Full codebase audit (no fix)
/vc-security full

See references/stride-owasp-checklist.md for the detailed per-category checklist and secret detection regex patterns.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vc Security AI skill do?

STRIDE + OWASP-based security audit with optional auto-fix. Scans code for vulnerabilities, categorizes by severity, and can iteratively fix findings using vc-autoresearch pattern.

Why use Vc Security on TypingMind?

Because you install it once and use it with any model. Vc Security is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vc Security in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-security. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vc Security?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vc Security?

As many as you like. As long as a model supports skills, you can use Vc Security with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vc Security AI skill free?

Yes. It is published on GitHub by withkynam under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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