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Typescript Security

Community
HoangNguyen0403
typescript-security

Secure server-side TypeScript input, auth tokens, and injection boundaries. Use for API/request validation, sanitization, secrets, and sensitive configuration; defer client-only React form validation and generic linting.

Overview

PublisherHoangNguyen0403
Repositoryagent-skills-standard
Skill nametypescript-security
Stars
573
Forks
166
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 HoangNguyen0403 on GitHub. Read the source before you install it.

Installation

Install the Typescript 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/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/typescript/typescript-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/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/.agents/skills/typescript/typescript-security .claude/skills/typescript-security
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Typescript 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 Typescript 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 Typescript 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.

TypeScript Security

Priority: P0 (CRITICAL)

Validate Input at Boundaries

  • Use Zod, Joi, or class-validator at API boundary. Always parse and validate user-controlled input before using. Use safeParse for error handling without throwing. Return 400 with structured errors on failure.

See references/REFERENCE.md for Zod validation schemas, secure cookie setup, and JWT auth patterns.

Prevent Injection and XSS

  • Sanitization: Use DOMPurify for HTML sanitization to prevent Cross-Site Scripting (XSS).
  • SQL Injection: Use Parameterized Queries (e.g., pool.query('... WHERE id = $1', [id])) or Type-safe ORMs (Prisma/TypeORM). Use Prisma.sql for raw queries.
  • Input Filtering: Sanitize user-controlled input before using it in file paths or OS commands (Command Injection).

Secure Authentication

  • Use Argon2id for password hashing. Implement JWT (via jsonwebtoken or jose) with HttpOnly and Secure cookies. Use RS256 for public/private key pairs and implement Refresh Token rotation.
  • Secrets: Store secrets in .env (e.g., JWT_SECRET) or Secret Managers. NEVER commit them to Git.
  • CORS: Configure CORS with Strict Origin Whitelisting. Avoid origin: '*'.
  • Encryption: Use crypto (Node.js) or Web Crypto API for sensitive data. Avoid legacy algorithms like MD5/SHA1.

Verification

After typing validation schemas (Zod/joi) or auth guards, call getDiagnostics (typescript-lsp) to confirm type narrowing correct before finalizing.

Anti-Patterns

  • No dynamic execution: Avoid eval, Function constructor, or string literals as timer callbacks — all execute runtime code and bypass TypeScript's type system.
  • No shell string interpolation: Never use execSync(\cmd ${userInput}`)or interpolate environment variables / config values intoexecSync/spawnSyncstrings. Shell metacharacters cause **command injection (OWASP A03)**. UseexecFileSync('git', ['arg1', arg2])` with a static command + separate args array instead.
  • No unvalidated SSRF origins: When a URL comes from env vars or config (e.g., FEEDBACK_API_URL), validate it against an allowed-origin allowlist before calling fetch() / axios.
  • No Plaintext: Never commit secrets.
  • No Trust: Validate everything server-side.

References

See references/REFERENCE.md for Zod validation, secure cookie setup, JWT auth, security headers, and RBAC patterns.

Canonical response anchors

When this skill applies, preserve the following domain terminology or equivalent concrete examples in the answer when relevant:

  • HttpOnly

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 Typescript Security AI skill do?

Secure server-side TypeScript input, auth tokens, and injection boundaries. Use for API/request validation, sanitization, secrets, and sensitive configuration; defer client-only React form validation and generic linting.

Why use Typescript Security on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/typescript/typescript-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 Typescript 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 Typescript Security?

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

Is the Typescript Security AI skill free?

Yes. It is published on GitHub by HoangNguyen0403 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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