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Ghost Validate

Organization
ghostsecurity
ghost-validate

This skill should be used when the user asks to "validate a finding", "check if a vulnerability is real", "triage a security finding", "confirm a vulnerability", "determine if a finding is a true positive or false positive", or provides a security finding for review. It validates security vulnerability findings by tracing data flows, verifying exploit conditions, analyzing security controls, and optionally testing attack vectors against a live application.

Overview

Publisherghostsecurity
Repositoryskills
Skill nameghost-validate
Stars
417
Forks
25
Bundled files
1
Licenseapache-2.0
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 ghostsecurity on GitHub. Read the source before you install it.

Installation

Install the Ghost Validate 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/ghostsecurity/skills/tree/main/plugins/ghost/skills/validate
  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/ghostsecurity/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/ghost/skills/validate .claude/skills/ghost-validate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ghost Validate 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 Ghost Validate 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 Ghost Validate 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.

Security Finding Validation

Determine whether a security finding is a true positive or false positive. Produce a determination with supporting evidence.

Input

The user provides a finding as a file path or pasted text. If neither is provided, ask for one.

Extract: vulnerability class, specific claim, affected endpoint, code location, and any existing validation evidence.

Validation Workflow

Step 1: Understand the Finding

Identify:

  • The vulnerability class (BFLA, BOLA, XSS, SQLi, SSRF, etc.)
  • The specific claim being made (what authorization check is missing, what input is unsanitized, etc.)
  • The affected endpoint and HTTP method
  • The code location

Step 2: Analyze the Source Code

  1. Read the vulnerable file at the specified line number and all supporting files
  2. Trace the request flow from route registration through middleware to the handler
  3. Verify the specific claim — does the code actually lack the described check?
  4. Look for indirect protections (middleware, helpers, ORM constraints) the scanner may have missed
  5. Confirm the vulnerable code path is reachable under the described conditions

Step 3: Live Validation (When Available)

If a live instance of the application is accessible and the vulnerability can be confirmed through live interaction, use the proxy skill to confirm exploitability:

  1. Start reaper proxy scoped to the target domain
  2. Authenticate (or have the user authenticate) as a legitimate user and capture a valid request to the vulnerable endpoint
  3. Replay or modify the request to attempt the exploit described in the finding
  4. Compare the response to expected behavior:
    • Does the unauthorized action succeed? (true positive)
    • Does the server reject it with 401/403/404? (false positive)
  5. Capture the request/response pair as evidence using reaper get <id>

Step 4: Make Determination

Classify the finding as one of:

  • True Positive: The vulnerability exists and is exploitable. The code lacks the described protection and the endpoint is reachable.
  • True Positive (Confirmed): Same as above, plus live testing demonstrated successful exploitation.
  • False Positive: The vulnerability does not exist. Provide the specific reason (indirect protection found, code path unreachable, etc.).
  • Inconclusive: Cannot determine without additional information. Specify what is needed.

Step 5: Report

Output a summary in the following format:

  1. Determination: True Positive, False Positive, or Inconclusive
  2. Confidence: High, Medium, or Low
  3. Evidence Summary: Key findings from code review and/or live testing
  4. Code Analysis: Specific lines and logic that support the determination
  5. Live Test Results (if performed): Request/response pairs demonstrating the behavior
  6. Recommendation: Fix if true positive, close if false positive, gather more info if inconclusive

Example:

## Validation Result
- **Determination**: True Positive
- **Confidence**: High
- **Evidence**: Handler at routes/transfers.go:142 queries transfers by ID without checking ownership. No middleware or ORM-level constraint enforces user scoping.
- **Recommendation**: Add ownership check — include user_id in the WHERE clause.

Step 6: Persist Results

If the finding was provided as a file path, ask the user if they would like to append the validation details to the original finding file. If they agree, append a ## Validation section to the file containing the determination, confidence, evidence summary, and recommendation.

Vulnerability Class Reference

See VULNERABILITY_PATTERNS.md in this skill directory for patterns to look for when validating authorization flaws (BFLA/BOLA/IDOR), injection (SQLi/XSS), and authentication flaws.

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 Ghost Validate AI skill do?

This skill should be used when the user asks to "validate a finding", "check if a vulnerability is real", "triage a security finding", "confirm a vulnerability", "determine if a finding is a true positive or false positive", or provides a security finding for review. It validates security vulnerability findings by tracing data flows, verifying exploit conditions, analyzing security controls, and optionally testing attack vectors against a live application.

Why use Ghost Validate on TypingMind?

Because you install it once and use it with any model. Ghost Validate 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 Ghost Validate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ghostsecurity/skills/tree/main/plugins/ghost/skills/validate. 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 Ghost Validate?

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 Ghost Validate?

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

Is the Ghost Validate AI skill free?

Yes. It is published on GitHub by ghostsecurity under the apache-2.0 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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