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Security Scan

Organization
codewithmukesh
security-scan

Deep security scanning for .NET applications across 6 layers: vulnerable packages, secrets detection, OWASP code patterns, auth configuration, CORS policy, and data protection. Produces severity-rated findings with specific remediation steps. Load this skill when: "security scan", "security audit", "check for vulnerabilities", "find secrets", "OWASP", "auth review", "CORS check", "security review", "penetration test prep", "CVE check", "vulnerability scan", "hardcoded password", "data protection", "security posture".

Overview

Publishercodewithmukesh
Repositorydotnet-claude-kit
Skill namesecurity-scan
Stars
721
Forks
170
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Security Scan 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.
  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/codewithmukesh/dotnet-claude-kit.git /tmp/dotnet-claude-kit
mkdir -p .claude/skills
cp -r /tmp/dotnet-claude-kit/skills/security-scan .claude/skills/security-scan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Scan 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 Security Scan 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 Security Scan 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.

/security-scan — 6-Layer Security Pipeline

What

Runs a defense-in-depth static scan across 6 layers. A project with zero CVEs can still have hardcoded secrets, SQL injection, and missing auth — each layer catches a different vulnerability class. Findings map to the OWASP Top 10:2025 taxonomy and are rated Critical/High/Medium/Low by exploitability, impact, and exposure — a Critical SQL injection on a public endpoint outranks a Low info-disclosure on an admin page.

Detection patterns, OWASP mappings, remediation code, and the report template live in references/scan-layers.md — read it before executing.

Honesty rule: this is static analysis, not a penetration test. It catches known patterns but misses business-logic flaws, complex authorization bypasses, and runtime-only vulnerabilities. Every report states this.

When

  • Pre-release security gate — full scan, non-negotiable before production
  • "Security scan", "security audit", "find secrets", "CVE check", "OWASP"
  • After a dependency update (Layer 1), auth changes (Layer 4), config changes (Layer 2), or logging changes (Layer 6)
  • Pre-pentest preparation — fix static issues before paying for a pentest
  • Incident response and quarterly reviews

How

Step 1: Choose Layers

ScenarioLayers
Pre-release gate / pentest prep / incident / quarterlyAll 6
After dependency update1
New endpoint added3, 4, 5
Auth system changes4
Config file changes2
Logging changes6
Public API exposure3, 4, 5
Internal-only service1, 2, 3

Step 2: Execute the Layers

Read references/scan-layers.md for the detection patterns per layer. Delegate deep auth and secrets review to the security-auditor agent, pairing the authentication and configuration skills.

#LayerOWASP 2025Method
1Package vulnerabilitiesA03 Supply Chaindotnet list package --vulnerable --include-transitive
2Secrets detectionPattern scan over .cs/.json/.yml/.xml/.config
3OWASP code patternsA05 Injection, A08 Integrity, A04 Crypto, A01 Access ControlSource scan: raw SQL, Html.Raw, BinaryFormatter, MD5/SHA1, IDOR
4Auth configurationA07 Authentication, A01 Access Controlget_endpoint_map — every route's auth posture in one call; flag unmarked endpoints; then JWT validation settings
5CORS policyA02 MisconfigurationWildcard origins, credentials combos, method/header breadth
6Data protectionA04 Crypto, A09 Logging & AlertingPII in logs, over-broad responses, plaintext sensitive storage

Step 3: Rate with Context

Severity must match actual risk — over-classification causes alert fatigue and buries the real Critical:

  • Test-fixture "secrets" and appsettings.Development.json values are expected — skip or mark INFO, don't flag as HIGH
  • A missing XML comment is never a security finding
  • Reserve Critical for exploitable-now issues: injection on public endpoints, exposed production secrets, auth bypass

Step 4: Report

Every finding: [SEVERITY] file:line — title, OWASP category, what's wrong, impact if exploited, and remediation code (before/after). Produce the summary table + per-layer status table from the reference template, prefixed with the static-analysis disclaimer.

Example

User: /security-scan before we ship

Claude: Running all 6 layers...

| Layer | Status | Findings |
|-------|--------|----------|
| 1. Packages | PASS | 0 CVEs (142 packages incl. transitive) |
| 2. Secrets | PASS | 0 real secrets (2 dev-only values skipped) |
| 3. OWASP Patterns | FAIL | 1 SQL injection |
| 4. Auth Config | WARN | 2 endpoints missing explicit auth attributes |
| 5. CORS | PASS | Explicit origins from configuration |
| 6. Data Protection | WARN | Customer email logged at Information level |

[HIGH] SearchOrders.cs:34 — SQL Injection (A05:2025)
  FromSqlRaw($"...LIKE '%{search}%'") → attacker controls the query.
  Fix: db.Orders.Where(o => EF.Functions.Like(o.Name, $"%{search}%"))

[MEDIUM] OrderEndpoints.cs:18,31 — no [Authorize]/[AllowAnonymous]; behavior
  depends on ambient global policy. Make intent explicit per endpoint.

[LOW] OrderPlacedHandler.cs:22 — PII in logs (A09:2025). Log CustomerId, not email.

Note: static analysis only — this does not replace a penetration test.

Related

  • references/scan-layers.md — detection patterns, OWASP 2025 mappings, report template
  • /verify — Phase 5 runs a lightweight version of this scan per change set
  • /health-check — Dimension 7 (Security Posture) is the spot-check version
  • authentication / configuration — remediation patterns for Layers 4 and 2

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 Security Scan AI skill do?

Deep security scanning for .NET applications across 6 layers: vulnerable packages, secrets detection, OWASP code patterns, auth configuration, CORS policy, and data protection. Produces severity-rated findings with specific remediation steps. Load this skill when: "security scan", "security audit", "check for vulnerabilities", "find secrets", "OWASP", "auth review", "CORS check", "security review", "penetration test prep", "CVE check", "vulnerability scan", "hardcoded password", "data protection", "security posture".

Why use Security Scan on TypingMind?

Because you install it once and use it with any model. Security Scan 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 Security Scan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/codewithmukesh/dotnet-claude-kit/tree/main/skills/security-scan. 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 Security Scan?

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 Security Scan?

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

Is the Security Scan AI skill free?

Yes. It is published on GitHub by codewithmukesh 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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