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AI EngineeringPython

Analyze

by H-mmer

Analyze is an AI Engineering skill for Claude Code, published by H-mmer in pentest-agents.

804 stars156 forkson H-mmer/pentest-agentsAdded 2026/08/22Repository updated 2026/06/12
agentsbug-bountybugcrowdclaude-codehackeronemcppentestingsecurity-tools
Install in seconds
Install Analyze
Copy Analyze into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/H-mmer/pentest-agents/tree/main/.claude/skills/analyze ~/.claude/skills/analyze

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/H-mmer/pentest-agents.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/analyze/SKILL.md in H-mmer/pentest-agents
Installs to
~/.claude/skills/analyze
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Analyze does

Analyze turns recon output into ranked attack paths, crown-jewel targets, and blind spots for a target. Use it before hunting to decide which endpoints and vulnerability classes to test first.

Analyze is cataloged under AI Engineering on DirSkills. Analyze comes from a repository tagged agents, bug-bounty, bugcrowd, claude-code and hackerone.

Documentation

README

AI-powered analysis of recon data for: $ARGUMENTS

Process

  1. Read all recon data: ls recon/ and read key files
  2. Read brain data: uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS
  3. Read tech stack intel: uv run python3 $CLAUDE_PROJECT_DIR/tools/intel_engine.py suggest <detected-stack>
  4. 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

This is the opening of the README. Read the full README on GitHub.

Commands Analyze provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /hunt
  • /analyze

Frequently asked about Analyze

  • What else does H-mmer publish alongside Analyze?

    Analyze is one of 25 skills that DirSkills catalogs from H-mmer/pentest-agents, the repository it ships in. Its siblings there include Autopilot, Brain and Business Logic Hunting. Each one is a separate skill with its own page in this directory, installs the same way Analyze does, and is maintained by H-mmer in that same repository. The rest of the collection is listed on the H-mmer/pentest-agents page.

  • How does Analyze compare to other AI Engineering skills?

    Analyze ranks #1589 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Analyze against them. Open each page to compare what they document and how they install.

More from H-mmer/pentest-agents

Analyze is one of 25 skills cataloged on DirSkills from H-mmer/pentest-agents.

See all 25 skills
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1w ago

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🧠
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Brain

Brain manages pentest engagement state with init, brief, status, exhausted, and record subcommands. Use it to capture targets, evidence, dead ends, and next actions during an assessment.
Automation
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🧠
1w ago

Business Logic Hunting

Business Logic Hunting finds logic flaws in payment, auth, and subscription flows such as price manipulation, race conditions, MFA bypass, and trial abuse. Use it when testing for workflow skipping or client-side state trust issues.
Quality
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⛓️
1w ago

Chain

Chain builds deep exploit chains from a confirmed bug and dispatches a chain-builder agent to find escalation paths. Use it when you have a validated issue and want end-to-end impact or a reportable chain.
Automation
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🔗
1w ago

Correlate

Correlate runs a finding correlation engine to turn individual findings into attack chains. Use it after collecting bugs to identify multi-step paths, document reproduction steps, and surface high-impact chains.
Quality
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💸
1w ago

Cost Tracking

Cost Tracking shows engagement spend and return on investment for a pentest run. Use it to review which agents spent the most and whether the work produced findings worth the cost.
Data
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