Fullscan

Community

H-mmer

fullscan

Full security assessment with brain coordination. Multi-phase, skips known-exhausted areas, builds on prior knowledge.

Overview

Publisher	H-mmer
Repository	`pentest-agents`
Skill name	`fullscan`
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 Fullscan 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/fullscan
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/fullscan .claude/skills/fullscan

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

Use it in TypingMind

Enable Fullscan 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 Fullscan 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 Fullscan 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.

ALL agents dispatched by this command MUST use model: "inherit" in the Agent tool call.

Full security assessment on: $ARGUMENTS

Phase 0: Brain Briefing

uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py init (if first run)
uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS
uv run python3 $CLAUDE_PROJECT_DIR/tools/scope_check.py $ARGUMENTS

Phase 1: Recon (skip already-discovered assets)

Launch recon agent with brain context. Focus on discovering NEW subdomains and services beyond what's already known.

Phase 2: Scanning (skip exhausted areas)

Launch IN PARALLEL, each with brain context about what's been scanned before:

vuln-scanner — skip known false positives, focus new hosts
config-auditor — check if previously noted misconfigs are fixed
js-analyzer — focus on new/changed JS files

Record all results to the brain after each agent returns.

Phase 3: Targeted Testing (brain-guided)

Based on Phase 2 + brain knowledge, selectively launch ONLY agents targeting UNTESTED or ACTIVE vectors:

xss-hunter ONLY on endpoints not marked exhausted
api-audit ONLY on newly discovered or untested endpoints
auth-tester ONLY if new auth flows found

Record all results to the brain.

Phase 4: Reporting

uv run python3 $CLAUDE_PROJECT_DIR/tools/dedup_findings.py --scan-dir scans/ --db findings.json --stats
uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py status
Launch poc-builder for each confirmed finding
Launch report-writer with full brain context
uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py log "Full scan completed on $ARGUMENTS"

Top-Tier Fullscan Standard

A full scan must leave a defensible coverage ledger.

Start with the crown jewels: auth, tenant data, billing, admin, integrations, uploads, webhooks, exports, AI/tool surfaces, and source/repo exposure.
For each phase, record both positives and negatives. "Scanned" is invalid unless it names tools, targets, timestamps, and skipped areas.
Do not let scanner output dominate. Use scanners to find leads, then spend human-grade effort on state changes, authorization boundaries, and parser differentials.
Before reporting, run /correlate or /chain on all confirmed and partial findings. Single low bugs should not escape the scan if a plausible chain remains.
Final output must contain: confirmed findings, killed false positives, exhausted high-value paths, untested residual risk, and the next best command.

Frequently asked questions

What does the Fullscan AI skill do?

Full security assessment with brain coordination. Multi-phase, skips known-exhausted areas, builds on prior knowledge.

Why use Fullscan on TypingMind?

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

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

Which AI models can use Fullscan?

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 Fullscan?

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

Is the Fullscan 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

Phase 0: Brain Briefing

Phase 1: Recon (skip already-discovered assets)

Phase 2: Scanning (skip exhausted areas)

Phase 3: Targeted Testing (brain-guided)

Phase 4: Reporting

Top-Tier Fullscan Standard

Frequently asked questions

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