Cyber Exercise Adjudication

Community

HoangNguyen0403

cyber-exercise-adjudication

Adjudicates authorized exercise outcomes against independently held ground truth, redacted evidence, and explicit status boundaries. Use when comparing observations, resolving discrepancies, or preparing evidence-led security-review handoffs.

Overview

Publisher	HoangNguyen0403
Repository	`agent-skills-standard`
Skill name	`cyber-exercise-adjudication`
Stars	573
Forks	166
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 Cyber Exercise Adjudication AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/cybersecurity/cyber-exercise-adjudication
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/cybersecurity/cyber-exercise-adjudication

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/cybersecurity/cyber-exercise-adjudication .claude/skills/cyber-exercise-adjudication

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cyber Exercise Adjudication 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 Cyber Exercise Adjudication 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 Cyber Exercise Adjudication 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.

Cyber Exercise Adjudication

Priority: P0 (CRITICAL)

Compare evidence to pre-held expectations without self-approved promotion or compliance claims.

Structure

text
cyber-exercise-adjudication/
├── SKILL.md
├── references/adjudication-record.md
└── evals/evals.json

Workflow

Confirm adjudicator independence from operator and evidence collector.
Load approved objective, scope, expected observation, and ground-truth version.
Compare redacted evidence by time, source, and limitation; record discrepancies.
Assign confirmed, suspected, blocked, not-tested, or false-positive only with rationale.
Preserve unresolved conflicts and route them to an accountable owner.
Emit sanitized findings to artifacts/security-review.md when that artifact is in scope.

Rules

Independent ground truth is held before observation review; do not rewrite it to fit results.
A blocked runtime or missing evidence remains blocked, not passed.
Adjudication describes exercise evidence; it does not certify compliance or measure real-world efficacy.
Production changes, credential use, and live target interaction remain separately gated. Adjudication records carry engagement_scope_ref, skill_version, source, observed_at, finding_status, evidence_refs, limitations, and accountable_owner.

Anti-Patterns

No operator grading: Separate execution from adjudication.
No pass by silence: Missing observation is not success.
No certainty inflation: Keep suspected and not-tested statuses.
No raw leakage: Redact before handoff.

Bundled files

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

references/adjudication-record.md1 KB

Frequently asked questions

What does the Cyber Exercise Adjudication AI skill do?

Why use Cyber Exercise Adjudication on TypingMind?

Because you install it once and use it with any model. Cyber Exercise Adjudication 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 Cyber Exercise Adjudication in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/cybersecurity/cyber-exercise-adjudication. 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 Cyber Exercise Adjudication?

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 Cyber Exercise Adjudication?

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

Is the Cyber Exercise Adjudication 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Cyber Exercise Adjudication

Priority: P0 (CRITICAL)

Structure

Workflow

Rules

Anti-Patterns

References

Bundled files

Frequently asked questions

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