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Cxc Dev Security

Community
lidge-jun
cxc-dev-security

Use for security and trust boundaries. Triggers: auth, secrets, XSS, CSRF, SQL injection, JWT, OAuth, OWASP, PII, uploads, payments, supply chain, CI integrity, agent security, threat model.

Overview

Publisherlidge-jun
Repositorycodexclaw
Skill namecxc-dev-security
Stars
51
Forks
10
Bundled files
15
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.

  • 15 bundled files

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

  • Open source

    Published by lidge-jun on GitHub. Read the source before you install it.

Installation

Install the Cxc Dev 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/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/dev-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/lidge-jun/codexclaw.git /tmp/codexclaw
mkdir -p .claude/skills
cp -r /tmp/codexclaw/plugins/codexclaw/skills/dev-security .claude/skills/cxc-dev-security
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cxc Dev 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 Cxc Dev 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 Cxc Dev 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.

Dev-Security — Production Security Hardening

Treat security as a build constraint, not a cleanup step. This skill is the authoritative source for authentication, authorization, input validation, secrets, headers, rate limiting, supply-chain security policy and evidence requirements, PII handling, and agentic AI safety. Validation ownership split: this skill owns what the validation schema enforces (content/policy); placement (boundary-only validation) is owned by dev-architecture §4. dev-backend delegates here for policy and verification depth. dev-frontend remains responsible for UI implementation, but frontend security touchpoints such as CSP compliance, CORS behavior, XSS prevention, and dependency auditing are defined here. This skill activates by change-surface whenever code crosses a trust boundary or changes the blast radius of a failure.

Before security work, read dev for classification, fast paths, rule authority, family invariants, verification, and safety; current CVEs/public evidence follow its Conditional Routes.

Threat Model First

Rule (SEC-THREAT-01): Security-sensitive changes start with a repo-grounded threat model, then controls. Do not begin with a checklist and assume it is sufficient.

Before implementation, read the threat-model procedure; before completion, read the applicable security review and must-pass addenda.

Modular References

ConditionReference
Before security-sensitive implementationThreat model
Input validation, login/session/token/OAuth, authorization, or sensitive flowsAccess controls
Secrets, headers/CSP/CORS, or abuse/rate limitsRuntime controls
AI-suggested dependencies, security claims/static checks, agent configuration, MCP, or sandboxingAgent integrity and scans (SEC-ANTIPATTERN-01)
Security-sensitive completion, deploy/release, uploads/payments/logging/PII, or control ownershipSecurity review and ownership matrix, ASVS checklist
Any security-sensitive codeOWASP Top 10
JS/TS, Python, SQL, or Go security workLanguage quirks
Before claiming code is secureStatic analysis recipes
Tool-using agents or prompt-driven flowsAgentic AI
LLMs, RAG, or tool/agent outputLLM supply chain
Add/vet MCP serversMCP supply chain
Dependency audit or release integritySBOM and signing
Domain implementation, CI credential delivery/signing, frontend, testing, review, RCA, scaffolding, or pipelinesCompanion owners; load the domain skill too

Read only the references relevant to the current task. A small CSS change needs no OWASP reference. Auth, data access, secrets, file uploads, webhooks, or incident response changes do.

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 Cxc Dev Security AI skill do?

Use for security and trust boundaries. Triggers: auth, secrets, XSS, CSRF, SQL injection, JWT, OAuth, OWASP, PII, uploads, payments, supply chain, CI integrity, agent security, threat model.

Why use Cxc Dev Security on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/dev-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 Cxc Dev 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 Cxc Dev Security?

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

Is the Cxc Dev Security AI skill free?

Yes. It is published on GitHub by lidge-jun 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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