Validate

Community

H-mmer

validate

Validate a finding through the 7-Question Gate + 4 gates. Kills weak findings FAST. Usage: /validate <finding description>

Overview

Publisher	H-mmer
Repository	`pentest-agents`
Skill name	`validate`
Stars	999
Forks	188
Bundled files	Instructions only
Links	Skill source Repository

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 H-mmer on GitHub. Read the source before you install it.

Installation

Install the Validate 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/H-mmer/pentest-agents/tree/main/.claude/skills/validate
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.

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/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/.claude/skills/validate .claude/skills/validate

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

Use it in TypingMind

Enable 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 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 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.

Validate finding: $ARGUMENTS

This is the MOST IMPORTANT command. Run it BEFORE writing any report. It takes 30 seconds to kill a bad lead. A report takes 30 minutes.

Step 1: Identify

Read findings.md and brain data. Locate the finding matching "$ARGUMENTS". Show finding details and ask user to confirm.

Step 2: Run 7-Question Gate

Launch validator agent: "Validate this finding through the 7-Question Gate and 4-gate checklist: [finding details]. Check rules/hunting.md Rule 19 for the never-submit list AND rules/mistakes.md (REPORTING + METHODOLOGY sections) for lessons agents commonly miss — especially: (a) theoretical vs confirmed exploits, (b) file-path hallucinations, (c) CVSS-version mismatch per platform, (d) status-code asymmetry ≠ proven bug, (e) single-account IDOR ≠ cross-account leak. Output PASS, KILL, DOWNGRADE, or CHAIN REQUIRED with specific reason."

Step 3: Act on Result

If PASS:

Launch poc-builder agent to create minimal PoC
Capture evidence: uv run python3 $CLAUDE_PROJECT_DIR/tools/capture.py screenshot
Launch report-writer agent for platform-ready draft
Launch quality-check agent — block if score < 7
Show: score, draft path, PoC path, suggested title
Suggest: /dupcheck <finding> then /submit <finding>

If KILL:

Record to brain: uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> exhausted "<finding>" "<kill reason>"
Tell user: "Finding killed at Q[N]: [reason]. Move on."
Suggest next action: /hunt <target> or /surface <target>

If DOWNGRADE:

Tell user what's needed to prove higher impact
Suggest specific test to run

If CHAIN REQUIRED:

Tell user what chain is needed
Suggest: /chain to build the chain
Record as partial in brain

Top-Tier Validation Bar

Validation is where mediocre hunters become expensive or elite.

Apply these hard checks before PASS:

The finding demonstrates a capability, not just an anomaly.
The affected asset is in scope and policy allows the validation method.
The PoC is reproducible by another operator in under ten minutes.
Evidence includes request/response or browser proof and a clear readback marker.
Severity is based on achieved impact, not potential impact.
Duplicate and never-submit classes have been considered.
Chaining has been attempted for low standalone classes.

If one check fails, prefer KILL or DOWNGRADE over "probably valid." Record the missing proof so the hunter can run one precise follow-up instead of re-litigating the whole bug.

Frequently asked questions

What does the Validate AI skill do?

Validate a finding through the 7-Question Gate + 4 gates. Kills weak findings FAST. Usage: /validate <finding description>

Why use Validate on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/.claude/skills/validate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Validate?

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

Is the Validate AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. 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

Step 1: Identify

Step 2: Run 7-Question Gate

Step 3: Act on Result

Top-Tier Validation Bar

Frequently asked questions

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