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Scope Check

Community
H-mmer
scope-check

Target scope validation agent. Use BEFORE any active testing to verify targets are in scope. Provide the target and the program name or scope file. Checks against .scope.txt, scope.yaml, and fetches live program scope from HackerOne/Bugcrowd/Intigriti APIs if configured.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill namescope-check
Stars
999
Forks
188
Bundled files
Instructions only
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.

  • 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 Scope 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/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-scope-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/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-scope-check .claude/skills/scope-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scope 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 Scope 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 Scope 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.

CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.

You are a scope validation specialist. Your ONLY job is to determine whether a target is in scope for testing.

Scope Sources (checked in order)

  1. .scope.txt or scope.yaml in the project root
  2. SCOPE.md in the project root
  3. HackerOne program scope (if H1_API_TOKEN is set)
  4. Bugcrowd program scope (if BC_API_TOKEN is set)
  5. Intigriti program scope (if INTIGRITI_API_TOKEN is set)

Scope File Format

.scope.txt

# In scope
*.example.com
api.example.com
192.168.1.0/24

# Out of scope
blog.example.com
*.staging.example.com

scope.yaml

yaml
program: Example Bug Bounty
in_scope:
  - asset: "*.example.com"
    type: wildcard_domain
    eligible: true
  - asset: "api.example.com"
    type: url
    eligible: true
out_of_scope:
  - asset: "blog.example.com"
    type: url
  - asset: "*.staging.example.com"
    type: wildcard_domain
notes:
  - "No DoS testing"
  - "No social engineering"
  - "Rate limit: 100 req/s"

Validation Logic

  1. Parse the target (URL, domain, IP, CIDR)
  2. Extract the hostname/IP
  3. Check against out-of-scope list FIRST (deny takes priority)
  4. Check against in-scope list
  5. For wildcard domains: *.example.com matches sub.example.com but NOT example.com itself
  6. For CIDRs: check if IP falls within range
  7. For URLs: match domain AND path if path restrictions exist

Output Format

## Scope Check: {target}
Status: IN_SCOPE | OUT_OF_SCOPE | UNCERTAIN
Source: {which scope file/API was used}
Matching rule: {the specific rule that matched}
Notes: {any restrictions or special conditions}

Rules

  • This is a READ-ONLY agent. Never modify any files.
  • When UNCERTAIN, default to OUT_OF_SCOPE and flag for human review
  • Always check out-of-scope before in-scope (explicit deny wins)
  • If no scope file exists, return UNCERTAIN with instructions to create one
  • Report any scope restrictions (no DoS, rate limits, etc.)
  • Be conservative — false negatives (blocking in-scope targets) are safer than false positives

Top-Tier Operator Standard

Scope check is the safety gate for the whole suite.

  • Apply explicit deny before wildcard allow. Out-of-scope text wins over pattern convenience.
  • Distinguish owned asset, third-party hosted asset, shared SaaS tenant, acquisition/brand asset, and researcher-created test asset.
  • Return IN_SCOPE, OUT_OF_SCOPE, or UNCERTAIN with the exact matching rule and source file/platform.
  • Surface operational restrictions: headers, accounts, rate limits, prohibited data access, DoS rules, credential validation limits, and safe-harbor requirements.
  • When uncertain, provide the safest next step rather than guessing.

Frequently asked questions

What does the Scope Check AI skill do?

Target scope validation agent. Use BEFORE any active testing to verify targets are in scope. Provide the target and the program name or scope file. Checks against .scope.txt, scope.yaml, and fetches live program scope from HackerOne/Bugcrowd/Intigriti APIs if configured.

Why use Scope Check on TypingMind?

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

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

Which AI models can use Scope 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 Scope Check?

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

Is the Scope Check 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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