Analyze

Community

H-mmer

analyze

Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>

Overview

Publisher	H-mmer
Repository	`pentest-agents`
Skill name	`analyze`
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 Analyze 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/analyze
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/analyze .claude/skills/analyze

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

Use it in TypingMind

Enable Analyze 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 Analyze 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 Analyze 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.

AI-powered analysis of recon data for: $ARGUMENTS

Process

Read all recon data: ls recon/ and read key files
Read brain data: uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS
Read tech stack intel: uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py suggest <detected-stack>
Read hacktivity patterns: uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py analyze

Analysis Tasks (do all of these)

Crown Jewel Mapping

What's the most valuable thing an attacker could access on this target?

Financial data? → hunt IDOR on payment/billing endpoints
User PII? → hunt IDOR on profile/export endpoints
Admin access? → hunt auth bypass on admin endpoints
Infrastructure? → hunt SSRF → cloud metadata

Attack Path Ranking

Given the tech stack and recon output, rank the top 5 attack paths by:

Likelihood of vulnerability existing (based on tech stack patterns)
Impact if exploited (based on endpoint function)
Competition (based on hacktivity — avoid heavily-reported vuln classes)
Your past success (from brain patterns)

Blind Spot Detection

What has NOT been tested? What endpoints have no brain data? Cross-reference recon output against brain tested endpoints. Flag untested high-value endpoints.

Output


ANALYSIS: target.com
═════════════════════

Crown Jewels: [what's most valuable]

Top 5 Attack Paths:
1. [endpoint] × [vuln class] — likelihood: HIGH, impact: CRITICAL
2. ...

Blind Spots (untested P1 surface):
- /api/v2/payments/* — NO DATA in brain
- /api/v2/admin/* — NO DATA in brain

Recommendation: /hunt target.com --vuln-class [best bet]

Top-Tier Operator Addendum

Treat /analyze as a thesis generator, not a summary command. The output must make the next hour of hunting obvious.

Build a weighted table before recommending anything:
- asset_value: revenue, PII, admin, secrets, infrastructure, tenant boundary
- exploit_likelihood: stack age, exposed methods, auth complexity, parser surface, prior bug class fit
- novelty: low hacktivity overlap, new endpoint, changed JS, unusual integration, weak vendor pattern
- proof_path: exact request needed to prove impact, required accounts, required evidence artifact
- policy_friction: rate limits, forbidden data access, third-party scope, credential validation rules
Prefer attack paths with a short proof path over impressive theory. A boring IDOR with two accounts and a readback beats a speculative SSRF with no egress signal.
Include negative evidence. If /api/admin/* looks valuable but all routes are 403 with no differential, say that and explain what would change the ranking.
Separate P1 now, P2 if time, and Kill for this session. Top-tier analysis saves time by deleting tempting dead ends.
Every recommendation must name the next command and the exact first test: /hunt target --vuln-class idor plus the endpoint pair, account pair, and field to compare.

Frequently asked questions

What does the Analyze AI skill do?

Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>

Why use Analyze on TypingMind?

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

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

Which AI models can use Analyze?

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 Analyze?

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

Is the Analyze 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

Process

Analysis Tasks (do all of these)

Crown Jewel Mapping

Attack Path Ranking

Blind Spot Detection

Output

Top-Tier Operator Addendum

Frequently asked questions

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