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Security Hardening

Community
agulli
security-hardening

Harden an application or service against common attack vectors. Use when asked to improve security posture, secure an API, harden a server, or prepare for a security review.

Overview

Publisheragulli
Repositoryatlas-agents
Skill namesecurity-hardening
Stars
580
Forks
127
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Security Hardening 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/agulli/atlas-agents/tree/main/ch09_agent_skills/skills/security-hardening
  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/agulli/atlas-agents.git /tmp/atlas-agents
mkdir -p .claude/skills
cp -r /tmp/atlas-agents/ch09_agent_skills/skills/security-hardening .claude/skills/security-hardening
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Hardening 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 Hardening 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 Hardening 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.

Overview

Security hardening is not about chasing perfect — it's about raising the cost of attack above the attacker's budget. Work systematically through the layers.

Process

Layer 1: Authentication and Authorization

  1. Verify all endpoints require authentication. Check for unprotected routes using:
    bash
    grep -rn "route\|@app\.\|router\." src/ | grep -v "login\|health\|docs"
  2. Check that authorization is enforced at the data layer, not just the route layer. A user who can reach /orders should only see their orders.
  3. Confirm tokens expire. JWTs must have exp claims. Sessions must have server-side expiry.

Layer 2: Input Validation

  1. Every user-supplied value that touches a database must use parameterized queries. Grep for f-string SQL:
    bash
    grep -rn "f\"SELECT\|f'SELECT\|format.*SELECT" src/
  2. Every file path from user input must be validated against an allowlist or a sandboxed directory. Check for os.path.join(base, user_input) without os.path.abspath + startswith guard.

Layer 3: Secrets and Configuration

  1. Scan for hardcoded secrets:
    bash
    grep -rn "password\s*=\s*[\"'][^\"']\|api_key\s*=\s*[\"'][^\"']" src/
  2. Confirm all secrets come from environment variables or a secrets manager, not from config files committed to version control.
  3. Check .gitignore includes .env, *.key, *.pem.

Layer 4: Dependencies and Infrastructure

  1. Run the dependency-audit skill to check for vulnerable packages.
  2. Check HTTP security headers are set (for web services):
    • Content-Security-Policy
    • X-Frame-Options: DENY
    • Strict-Transport-Security
    • X-Content-Type-Options: nosniff

Layer 5: Output

  1. Write findings as a prioritized list: Critical → High → Medium → Low. For each finding: what it is, where it is (file:line), how to fix it.

Rationalizations

ExcuseRebuttal
"This is an internal service, it doesn't need hardening"Internal services are the primary target of lateral movement attacks after initial breach.
"We'll harden it before the public launch"Security debt compounds. Fix it before it goes anywhere.
"The framework handles security"Frameworks handle some things. You must handle the application-level concerns.

Verification

  • All four layers were checked (not just the ones that seemed relevant)
  • No hardcoded secrets found in source or git history
  • Every critical and high finding has a specific remediation
  • A finding was produced for each layer — even if it's "no issues found"

Frequently asked questions

What does the Security Hardening AI skill do?

Harden an application or service against common attack vectors. Use when asked to improve security posture, secure an API, harden a server, or prepare for a security review.

Why use Security Hardening on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agulli/atlas-agents/tree/main/ch09_agent_skills/skills/security-hardening. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Security Hardening?

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 Hardening?

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

Is the Security Hardening AI skill free?

Yes. It is published on GitHub by agulli 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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