Kesekit Check logo

Kesekit Check

Organization
cdppcorp
kesekit-check

Run a pre-deployment security compliance checklist based on KISA guidelines. Supports CII compliance (70 items), AI security checklists, Robot Security (103 items), Space Security (12 domains, 53 items), SW Supply Chain (SBOM, 29 items). Use when "pre-deploy check", "compliance checklist", "security checklist", "AI security check", "robot security check", "space security check", "satellite compliance", "GSaaS check", "supply chain check", "SBOM check", "공급망 점검".

Overview

Publishercdppcorp
RepositoryKESE-KIT
Skill namekesekit-check
Stars
361
Forks
81
Bundled files
69
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.

  • 69 bundled files

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

  • Open source

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

Installation

Install the Kesekit Check 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/cdppcorp/KESE-KIT/tree/main/skills/kesekit-check
  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/cdppcorp/KESE-KIT.git /tmp/KESE-KIT
mkdir -p .claude/skills
cp -r /tmp/KESE-KIT/skills/kesekit-check .claude/skills/kesekit-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kesekit Check 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 Kesekit Check 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 Kesekit Check 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.

KESE Pre-Deployment Security Compliance Checklist

Run pre-deployment security checks. Auto-selects guideline based on user context.

Guideline Selection

#GuidelineDescription
1CII Compliance70-item pre-deployment checklist
2AI Security ChecklistAI developer/provider verification
3Robot Security ChecklistRobot system 11 categories, 103 items
4Space Security ChecklistSatellite/GSaaS/supply chain 12 domains, 53 items
5Secure Coding ChecklistJavaScript/Python code review (7 categories, 46 CWE)
6Zero Trust ChecklistZero Trust maturity assessment (8 elements, 4 maturity levels, ~396 items)
7SW Supply Chain ChecklistSBOM-based supply chain security (5 phases, 29 items)

Servers, infrastructure → CII / AI models, LLM → AI Security / robots, ROS/ROS2 → Robot Security / satellites, ground stations, GSaaS, space supply chain → Space Security / JavaScript, Python, web app code → Secure Coding Zero Trust, ZTA, ZTNA, 제로트러스트, 마이크로세그멘테이션, microsegmentation, SDP, SASE, PEP/PDP, never trust always verify → Zero Trust SBOM, supply chain, 공급망, C-SCRM, SCA, CycloneDX, SPDX, npm audit, pip-audit → SW Supply Chain


CII Branch

Load reference files from templates/cii/ based on detected environment. Check commands available in scripts/cii/ directory. Check categories: Account Security (15), Access Control (15), Encryption (12), Logging (10), Service Hardening (12), Patch Management (6).

Severity: Critical (deployment blocker) → High → Medium → Low

AI Security Branch

Load from references/ai-security/ for overview and guidance, and templates/ai-security/ for assessment checklists. Check developer (54 items), service provider, or user checklists by lifecycle phase.

Robot Security Branch

Load from templates/robot-security/. Start with overview.md, then select one or more category references (ssdf.md, supply-chain.md, iec62443.md, cyber-resilience.md, wireless.md) based on the robot type, interfaces, and regulatory context.


Space Security Branch

Load from references/space-security/ for overview and supply chain guidance, and templates/space-security/ for assessment checklists. Start with references/space-security/overview.md, then select domain references based on the space system type (GSaaS, satellite operator, ground station). Check against CMMC/K-RMF/NIS2/ISMS-P standards.


Secure Coding Branch

Load from references/secure-coding/overview.md for category/CWE mapping, then use templates/secure-coding/javascript.md or templates/secure-coding/python.md for language-specific checklists. Use references/secure-coding/pseudocode.md for other languages.

Priority: Critical (8 items) → High (13 items) → Medium (25 items). Block deployment if any Critical CWE found.


Zero Trust Branch

Load from references/zero-trust/ for overview and maturity model, and templates/zero-trust/ for assessment checklists. Start with templates/zero-trust/overview.md, then select element-specific checklists based on system context. If OT/ICS detected, also load templates/zero-trust/ot-environment.md.

TopicReference File
Overviewtemplates/zero-trust/overview.md
Identity & Devicetemplates/zero-trust/identity-device.md
Network & Systemtemplates/zero-trust/network-system.md
Application & Datatemplates/zero-trust/app-data.md
Visibility & Automationtemplates/zero-trust/visibility-automation.md
OT/ICS Environmenttemplates/zero-trust/ot-environment.md
ZT Architecture Referencereferences/zero-trust/overview.md
Maturity Model Detailsreferences/zero-trust/maturity-model.md
OT Deployment Guidereferences/zero-trust/ot-guide.md

8 core elements, ~396 items across 4 maturity levels. Standards: KISA ZT Guideline 2.0, NIST SP 800-207, CISA ZT Maturity Model.


SW Supply Chain Branch

Load from references/supply-chain/overview.md for context, then use templates/supply-chain/sbom-checklist.md for the 29-item pre-deployment checklist. Use scripts/supply-chain/sbom-generate.md and scripts/supply-chain/sbom-vuln-scan.md for verification commands.

5 phases: Design (5) → Development (11) → Supply (3) → Operations (7) → Maintenance (3). Critical items: SC-10, SC-14, SC-15 must ALL pass. Block deployment if any Critical item fails. Standards: NIST SP 800-161r1, NIST SP 800-218, NTIA SBOM, NIS-SBOM.


Rules

  • Never skip Critical severity items
  • Provide specific file paths and commands for fixes
  • Block deployment if pass rate < 60%

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 9 more files.

Frequently asked questions

What does the Kesekit Check AI skill do?

Run a pre-deployment security compliance checklist based on KISA guidelines. Supports CII compliance (70 items), AI security checklists, Robot Security (103 items), Space Security (12 domains, 53 items), SW Supply Chain (SBOM, 29 items). Use when "pre-deploy check", "compliance checklist", "security checklist", "AI security check", "robot security check", "space security check", "satellite compliance", "GSaaS check", "supply chain check", "SBOM check", "공급망 점검".

Why use Kesekit Check on TypingMind?

Because you install it once and use it with any model. Kesekit Check 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 Kesekit Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cdppcorp/KESE-KIT/tree/main/skills/kesekit-check. 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 Kesekit Check?

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 Kesekit Check?

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

Is the Kesekit Check AI skill free?

Yes. It is published on GitHub by cdppcorp 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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