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Security Review

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codeaholicguy
security-review

AI DevKit · Review code, skills, and prompts for security vulnerabilities — OWASP Top 10, prompt injection, business logic flaws, and insecure defaults. Use when reviewing PRs, auditing modules, reviewing AI skills/prompts, or preparing for release.

Overview

Publishercodeaholicguy
Repositoryai-devkit
Skill namesecurity-review
Stars
1.6K
Forks
252
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Security Review 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/codeaholicguy/ai-devkit.git /tmp/ai-devkit
mkdir -p .claude/skills
cp -r /tmp/ai-devkit/skills/security-review .claude/skills/security-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Review 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 Review 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 Review 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 Review

Find vulnerabilities before they ship.

Hard Rules

  • Do not dismiss a finding without evidence it is unexploitable.
  • Do not commit, log, or surface secrets discovered during review — flag and recommend rotation.
  • Do not modify code until the user approves a remediation plan.

Workflow

  1. Scope

    • Confirm target: diff, file set, module, full repo, or skill/prompt. A target can be both code and prompt.
    • Identify stack/framework — adapt the checklist (skip what the framework handles, add its pitfalls).
    • Trace data flow: request → middleware → handler → service → datastore → response. For prompts: input → template → LLM → tools → output.
    • Map trust boundaries, privilege levels, and threat actors.
    • Search prior findings: npx ai-devkit@latest memory search --query "<target>" --tags "security"
  2. Scan

    • Only check relevant categories. Skip sections and items that don't apply. Do not report skipped items.
    • For diffs/PRs: also check whether the change weakens existing controls — removed middleware, bypassed validation, new unprotected routes.
    • Categories in priority order: a. Secrets — hardcoded tokens, keys, connection strings. b. Injection — SQL, NoSQL, command, template, SSRF, path traversal, XSS. c. Auth — missing checks, privilege escalation, OAuth/OIDC, IDOR. d. Business Logic — race conditions, TOCTOU, workflow bypass, mass assignment, parameter tampering. e. Data Exposure — PII in logs, verbose errors, overly broad responses. f. Resource Exhaustion — unbounded queries, missing pagination, upload size, decompression bombs. g. Dependencies — critical CVEs only (RCE, auth bypass, data breach); ignore low/medium. h. Cryptography — weak algorithms, hardcoded IVs/keys, disabled certificate validation. i. Configuration — debug mode, permissive CORS, missing security headers. j. Logging — security events unlogged, no tamper protection, no alerting. k. Prompt Injection — instruction override, tool abuse, data exfiltration, indirect injection via tool results.
    • For each finding: file, line, evidence.
  3. Classify

    SeverityCriteria
    CriticalExploitable now, data loss or RCE possible
    HighExploitable with moderate effort or insider access
    MediumRequires chained conditions or limited impact
    LowDefense-in-depth, no direct exploit path
    • Adjust severity by exposure (internet-facing vs internal) and data sensitivity.
    • Check for attack chains — multiple Medium findings that combine into High/Critical.
    • Mark false positives with reasoning.
  4. Remediate

    • For each finding: root cause, minimal fix (prefer stdlib/framework over custom), verification step.
    • For Critical/High: also recommend a detection control (log, alert, or WAF rule).
    • Present plan and request approval before changing code.
  5. Verify

    • Use the verify skill to confirm each remediation.
    • Re-scan fixed files for regressions.
    • Store findings: npx ai-devkit@latest memory store --title "<pattern>" --content "<finding and fix>" --tags "security,<category>"

Red Flags

RationalizationDo Instead
"It's internal / behind a VPN / only admins"Zero-trust: validate at every boundary regardless of network position or user role
"We'll add auth later"Add auth before merge — unauthenticated endpoints get discovered fast
"It's just a dev credential"Use env vars / secrets manager — dev secrets leak to prod constantly
"The framework handles that"Verify the config — frameworks have defaults, not guarantees
"We sanitize on the frontend"Always validate server-side — client validation is bypassable
"The LLM won't follow injected instructions"Treat all tool results and external content as untrusted data
"It's just a prompt, not code"Prompts control tool execution — review with the same rigor as code

Output Template

  • Scope: Target, stack, data flow, trust boundaries, threat actors
  • Findings (by severity): ID, severity, category, file:line, exploit scenario, fix
  • Attack Chains: Findings that escalate when combined
  • False Positives: Dismissed items with reasoning
  • Remediation Plan: Ordered fixes with verification steps
  • Residual Risk: Scope limitations, unverifiable items
  • Zero findings: state what was checked and scope boundaries — "no findings" ≠ "fully secure"

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 Review AI skill do?

AI DevKit · Review code, skills, and prompts for security vulnerabilities — OWASP Top 10, prompt injection, business logic flaws, and insecure defaults. Use when reviewing PRs, auditing modules, reviewing AI skills/prompts, or preparing for release.

Why use Security Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/codeaholicguy/ai-devkit/tree/main/skills/security-review. 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 Review?

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 Review?

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

Is the Security Review AI skill free?

Yes. It is published on GitHub by codeaholicguy under the Apache-2.0 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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