Using Perseus logo

Using Perseus

Community
kaivyy
using-perseus

Use when starting a security conversation to understand the Perseus methodology

Overview

Publisherkaivyy
Repositoryperseus
Skill nameusing-perseus
Stars
68
Forks
14
Bundled files
Instructions only
LicenseMIT
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 kaivyy on GitHub. Read the source before you install it.

Installation

Install the Using Perseus 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.
  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/kaivyy/perseus.git /tmp/perseus
mkdir -p .claude/skills
cp -r /tmp/perseus/skills/perseus/using-perseus .claude/skills/using-perseus
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Perseus 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 Using Perseus 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 Using Perseus 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.

Using Perseus

Overview

Perseus is a rigorous, automated security assessment framework for Claude Code. It transforms the AI into a structured penetration tester.

Core Principle: Methodological rigor over ad-hoc guessing. We do not "look around"; we execute specific phases.

The Workflow

The assessment MUST follow this linear sequence. Do not skip phases.

Phase 1: Reconnaissance (/scan)

Goal: Map the attack surface.

  • Action: Run Skill: perseus:scan (or /scan).
  • Output: deliverables/code_analysis_deliverable.md (Target Knowledge Graph).
  • Stop Condition: Do not proceed until you know what to attack.

Phase 2: Vulnerability Analysis (Audit)

Goal: Prove potential vulnerability.

  • Action: Run Skill: perseus:audit.
  • Logic: Launch 5 parallel specialists (Injection, XSS, Auth, Authz, SSRF).
  • Method: "Negative Analysis" (Source -> Flow -> Sink -> Defense -> Verdict).
  • Output: Specialized reports in deliverables/.

Phase 3: Exploitation (Exploit)

Goal: Verify impact (False Positive Filtering).

  • Action: Run Skill: perseus:exploit.
  • Safety: Use SAFE payloads only (whoami, alert(1), sleep).
  • Output: Verified proofs in deliverables/exploitation_report.md.

Phase 4: Reporting (/report)

Goal: Communicate risk.

  • Action: Run Skill: perseus:report (or /report).
  • Output: Final SECURITY_REPORT.md with executive summary and risk scoring.

Optional: Specialists (/specialist)

Goal: Run all deep-dive specialists in parallel.

  • Action: Run Skill: perseus-specialist (or /specialist).

Engagement Modes

Always select engagement mode before Phase 1. If user does not specify, default to PRODUCTION_SAFE.

ModeIntended EnvironmentVerification Style
PRODUCTION_SAFELive productionPassive analysis + minimal non-disruptive verification
STAGING_ACTIVEStaging/pre-prodTargeted active verification with throttling
LAB_FULLIsolated labFull dynamic verification for hard-to-reproduce findings
LAB_RED_TEAMDedicated security labAdversarial chain simulation with strict legal scope

Mode selection rule:

  1. If environment is unclear, assume production and use PRODUCTION_SAFE.
  2. If user requests aggressive testing, require explicit confirmation that target is staging/lab and authorized.
  3. Record chosen mode in deliverables so report consumers understand test depth.

Critical Rules

  1. No Hallucinations: Only report vulnerabilities you have verified via Audit or Exploit.
  2. Safe Mode: Never execute destructive commands (e.g., rm, DROP TABLE).
  3. Evidence-Based: Every finding must cite a specific File:Line or HTTP Request/Response.
  4. Authorization Gate: Do not run active exploit validation on production without explicit approved test window.
  5. Stability First: Keep verification low-rate and stop immediately if service degradation appears.
  6. Lab Isolation for Red-Team Mode: LAB_RED_TEAM only on isolated test environment with non-production data.

How to Start

If the user asks for a security review, pentest, or audit, ALWAYS start with:

text
I will use the Perseus methodology to assess this codebase.
Starting Phase 1: Reconnaissance...
[Invoking /scan]

Frequently asked questions

What does the Using Perseus AI skill do?

Use when starting a security conversation to understand the Perseus methodology

Why use Using Perseus on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kaivyy/perseus/tree/main/skills/perseus/using-perseus. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Using Perseus?

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 Using Perseus?

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

Is the Using Perseus AI skill free?

Yes. It is published on GitHub by kaivyy under the MIT license. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇