Perseus Crypto logo

Perseus Crypto

Community
kaivyy
perseus-crypto

Deep-dive cryptography and secrets analysis (JWT, hashing, encryption, key management)

Overview

Publisherkaivyy
Repositoryperseus
Skill nameperseus-crypto
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 Perseus Crypto 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/specialists/crypto .claude/skills/perseus-crypto
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Perseus Crypto 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 Perseus Crypto 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 Perseus Crypto 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.

Perseus Crypto Specialist

Context & Authorization

IMPORTANT: This skill performs cryptographic security analysis on the user's own codebase. This is defensive security testing to find crypto weaknesses before they lead to data breaches.

Authorization: The user owns this codebase and has explicitly requested this specialized analysis.


Multi-Language Support

LanguageLibraries
JavaScript/TypeScriptjsonwebtoken, jose, bcrypt, crypto, node-forge
Gogolang.org/x/crypto, crypto/*, jwt-go, golang-jwt
PHPopenssl, password_hash, sodium, firebase/php-jwt
PythonPyJWT, cryptography, bcrypt, passlib, hashlib
Rustjsonwebtoken, ring, rust-crypto, argon2, bcrypt
Javajjwt, Bouncy Castle, Java Cryptography Architecture
Rubyjwt, bcrypt, rbnacl, openssl
C#System.IdentityModel.Tokens.Jwt, BCrypt.Net

Overview

This specialist skill performs comprehensive cryptographic analysis including JWT security, hashing, encryption, and key management across all major languages.

When to Use: After /scan identifies JWT usage, password hashing, encryption, or secrets handling.

Goal: Ensure cryptographic implementations follow security best practices.

Engagement Mode Compatibility

ModeSpecialist Behavior
PRODUCTION_SAFEConfiguration and implementation analysis, minimal runtime checks
STAGING_ACTIVEControlled token/crypto validation with throttling
LAB_FULLExtensive verification of crypto edge cases in lab
LAB_RED_TEAMAdversarial misuse simulation on test identities and synthetic keys

Safety Gates (Required)

  1. Read deliverables/engagement_profile.md before any runtime validation.
  2. Default to PRODUCTION_SAFE if mode is unspecified.
  3. Enforce kill-switch thresholds from engagement profile.
  4. Never expose real secrets, keys, or live credentials in outputs.

Cryptographic Issues Covered

CategoryIssuesImpact
JWTAlgorithm confusion, weak secrets, missing validationAuth bypass
HashingMD5/SHA1 for passwords, missing salt, weak iterationsCredential theft
EncryptionWeak ciphers, ECB mode, hardcoded keysData exposure
RandomPredictable RNG, weak seedsToken prediction
Key ManagementHardcoded keys, insecure storageFull compromise

Execution Instructions

Step 0: Mode & Scope Alignment

  • Load mode/scope/limits from deliverables/engagement_profile.md.
  • Respect deliverables/verification_scope.md when present.
  • Keep production checks passive-first and evidence-based.

Phase 1: JWT Analysis (4 Parallel Agents)

  1. JWT Algorithm Analyst:

    • "Find all JWT verification code. Check for algorithm validation."

    Language-Specific Patterns:

    javascript
    // Node.js - VULNERABLE
    jwt.verify(token, secret);  // Accepts any algorithm
    
    // Node.js - SAFE
    jwt.verify(token, secret, { algorithms: ['HS256'] });
    go
    // Go - VULNERABLE
    token, _ := jwt.Parse(tokenString, func(t *jwt.Token) (interface{}, error) {
        return secret, nil  // No algorithm check!
    })
    
    // Go - SAFE
    token, _ := jwt.Parse(tokenString, func(t *jwt.Token) (interface{}, error) {
        if _, ok := t.Method.(*jwt.SigningMethodHMAC); !ok {
            return nil, fmt.Errorf("unexpected method: %v", t.Header["alg"])
        }
        return secret, nil
    })
    python
    # Python - VULNERABLE
    jwt.decode(token, secret)  # Accepts any algorithm
    
    # Python - SAFE
    jwt.decode(token, secret, algorithms=['HS256'])
    php
    // PHP - VULNERABLE
    JWT::decode($token, $key);  // Check library defaults
    
    // PHP - SAFE
    JWT::decode($token, new Key($key, 'HS256'));
    rust
    // Rust - SAFE (explicit by design)
    decode::<Claims>(&token, &DecodingKey::from_secret(secret), &Validation::new(Algorithm::HS256))
  2. JWT Secret Analyst:

    • "Find JWT signing secrets across languages."

    Patterns:

    javascript
    // VULNERABLE - Weak secret
    const secret = 'secret123';
    const secret = 'password';
    
    // VULNERABLE - Hardcoded
    jwt.sign(payload, 'my-super-secret-key');
    
    // SAFE - From environment, strong
    const secret = process.env.JWT_SECRET;  // Must be 32+ chars
    go
    // VULNERABLE
    var jwtSecret = []byte("weak-secret")
    
    // SAFE
    var jwtSecret = []byte(os.Getenv("JWT_SECRET"))
    python
    # VULNERABLE
    SECRET_KEY = "secret"
    
    # SAFE
    SECRET_KEY = os.environ.get("JWT_SECRET")
  3. JWT Claims Analyst:

    • "Analyze JWT claim validation."

    Required Validations:

    ClaimPurposeCheck
    expExpirationToken not expired
    iatIssued AtNot issued in future
    nbfNot BeforeToken is active
    issIssuerTrusted issuer
    audAudienceIntended recipient
  4. JWT Key Management Analyst:

    • "Check RS256/ES256 key handling."

    Issues:

    • Private key in repository
    • Key without rotation
    • Public key as HMAC secret (algorithm confusion)

Phase 2: Password Hashing Analysis (3 Parallel Agents)

  1. Hash Algorithm Analyst:

    • "Find all password hashing across languages."

    Language-Specific Patterns:

    javascript
    // Node.js - VULNERABLE
    crypto.createHash('md5').update(password).digest('hex');
    crypto.createHash('sha1').update(password).digest('hex');
    crypto.createHash('sha256').update(password).digest('hex');  // No salt!
    
    // Node.js - SAFE
    await bcrypt.hash(password, 12);
    await argon2.hash(password);
    go
    // Go - VULNERABLE
    md5.Sum([]byte(password))
    sha256.Sum256([]byte(password))
    
    // Go - SAFE
    bcrypt.GenerateFromPassword([]byte(password), bcrypt.DefaultCost)
    argon2.IDKey([]byte(password), salt, 1, 64*1024, 4, 32)
    python
    # Python - VULNERABLE
    hashlib.md5(password.encode()).hexdigest()
    hashlib.sha256(password.encode()).hexdigest()
    
    # Python - SAFE
    bcrypt.hashpw(password.encode(), bcrypt.gensalt(rounds=12))
    from passlib.hash import argon2
    argon2.hash(password)
    php
    // PHP - VULNERABLE
    md5($password);
    sha1($password);
    hash('sha256', $password);
    
    // PHP - SAFE
    password_hash($password, PASSWORD_ARGON2ID);
    password_hash($password, PASSWORD_BCRYPT, ['cost' => 12]);
    rust
    // Rust - SAFE
    bcrypt::hash(password, bcrypt::DEFAULT_COST)?;
    argon2::hash_encoded(password.as_bytes(), &salt, &config)?;
    java
    // Java - VULNERABLE
    MessageDigest.getInstance("MD5").digest(password.getBytes());
    
    // Java - SAFE
    BCrypt.hashpw(password, BCrypt.gensalt(12));
  2. Hash Comparison Analyst:

    • "Check for timing-safe comparison."

    Patterns:

    javascript
    // VULNERABLE - Timing attack
    if (storedHash === computedHash) { ... }
    
    // SAFE
    crypto.timingSafeEqual(Buffer.from(storedHash), Buffer.from(computedHash))
    go
    // VULNERABLE
    if storedHash == computedHash { ... }
    
    // SAFE
    subtle.ConstantTimeCompare([]byte(storedHash), []byte(computedHash))
    python
    # VULNERABLE
    if stored_hash == computed_hash: ...
    
    # SAFE
    hmac.compare_digest(stored_hash, computed_hash)
  3. Password Policy Analyst:

    • "Check password strength enforcement."

Phase 3: Encryption Analysis (4 Parallel Agents)

  1. Cipher Selection Analyst:

    • "Find all encryption operations."

    Vulnerable Ciphers:

    CipherStatusUse Instead
    DESBrokenAES-256-GCM
    3DESDeprecatedAES-256-GCM
    RC4BrokenAES-256-GCM
    BlowfishWeakAES-256-GCM
    AES-ECBInsecureAES-256-GCM
    AES-CBCOK (with HMAC)AES-256-GCM preferred

    Language Patterns:

    javascript
    // Node.js - VULNERABLE
    crypto.createCipher('des', key);
    crypto.createCipheriv('aes-128-ecb', key, '');
    
    // Node.js - SAFE
    crypto.createCipheriv('aes-256-gcm', key, iv);
    go
    // Go - VULNERABLE
    des.NewCipher(key)
    cipher.NewCBCEncrypter(block, iv)  // Without HMAC
    
    // Go - SAFE
    cipher.NewGCM(block)
    python
    # Python - VULNERABLE
    from Crypto.Cipher import DES
    cipher = AES.new(key, AES.MODE_ECB)
    
    # Python - SAFE
    cipher = AES.new(key, AES.MODE_GCM, nonce=nonce)
  2. IV/Nonce Analyst:

    • "Check IV/nonce generation."

    Issues:

    javascript
    // VULNERABLE - Static IV
    const iv = Buffer.from('0000000000000000', 'hex');
    
    // VULNERABLE - Predictable
    const iv = Buffer.from(Date.now().toString());
    
    // SAFE - Random
    const iv = crypto.randomBytes(16);
  3. Key Derivation Analyst:

    • "Check key derivation from passwords."

    Patterns:

    javascript
    // VULNERABLE - Direct use
    const key = Buffer.from(password);
    
    // SAFE - PBKDF2
    crypto.pbkdf2Sync(password, salt, 100000, 32, 'sha256');
    
    // SAFE - scrypt
    crypto.scryptSync(password, salt, 32);
  4. Key Management Analyst:

    • "Find encryption key storage issues."

Phase 4: Random Number Analysis (2 Parallel Agents)

  1. PRNG Analyst:

    • "Find insecure random number generation."

    Language-Specific:

    javascript
    // VULNERABLE
    Math.random()
    
    // SAFE
    crypto.randomBytes(32)
    crypto.randomUUID()
    go
    // VULNERABLE
    math/rand.Int()
    
    // SAFE
    crypto/rand.Read(buf)
    python
    # VULNERABLE
    random.random()
    random.randint()
    
    # SAFE
    secrets.token_bytes(32)
    secrets.token_hex(32)
    secrets.token_urlsafe(32)
    php
    // VULNERABLE
    rand()
    mt_rand()
    
    // SAFE
    random_bytes(32)
    random_int(0, PHP_INT_MAX)
    rust
    // Use rand crate with OsRng
    use rand::rngs::OsRng;
    let random: u64 = OsRng.gen();
    java
    // VULNERABLE
    new Random().nextInt()
    
    // SAFE
    new SecureRandom().nextInt()
  2. Token Generation Analyst:

    • "Check security token generation."

Phase 5: Secrets in Code (3 Parallel Agents)

  1. Hardcoded Secrets Scanner:

    • "Deep scan for hardcoded secrets."

    Patterns:

    # AWS
    AKIA[0-9A-Z]{16}
    
    # GitHub
    ghp_[a-zA-Z0-9]{36}
    github_pat_[a-zA-Z0-9]{22}_[a-zA-Z0-9]{59}
    
    # Stripe
    sk_live_[a-zA-Z0-9]{24}
    rk_live_[a-zA-Z0-9]{24}
    
    # Private Keys
    -----BEGIN (RSA|EC|OPENSSH|PGP) PRIVATE KEY-----
    
    # Generic
    (password|secret|key|token|api_key)\s*[:=]\s*['\"][^'\"]+['\"]
  2. Secret Exposure Analyst:

    • "Check where secrets might leak."

    Locations:

    • Log files
    • Error messages
    • API responses
    • Client-side code
    • Git history
  3. Environment Variable Analyst:

    • "Check .env file security."

    Issues:

    • .env in repository
    • .env.example with real secrets
    • Missing .env in .gitignore

Output Requirements

Create deliverables/crypto_security_analysis.md:

markdown
# Cryptographic Security Analysis

## Summary
| Category | Issues | Critical | High | Medium |
|----------|--------|----------|------|--------|
| JWT | X | Y | Z | W |
| Hashing | X | Y | Z | W |
| Encryption | X | Y | Z | W |
| Random | X | Y | Z | W |
| Secrets | X | Y | Z | W |

## Language/Framework Detected
- Primary: [e.g., Node.js, Go, Python]
- Crypto Libraries: [e.g., crypto, bcrypt, jose]

## JWT Security Status

| Check | Status | Details |
|-------|--------|---------|
| Algorithm Validation | FAIL | Accepts 'none' algorithm |
| Secret Strength | FAIL | 8 character secret |
| Expiration | PASS | 1 hour expiry enforced |
| Issuer Validation | WARN | Not validated |

## Critical Findings

### [CRYPTO-001] JWT Algorithm Confusion
**Severity:** Critical
**Language:** Node.js
**Location:** `middleware/auth.js:23`

**Vulnerable Code:**
```javascript
const decoded = jwt.verify(token, publicKey);

Attack:

  1. Take valid RS256 token
  2. Change header to HS256
  3. Sign with public key as secret
  4. Server verifies with public key as HMAC secret

Remediation:

javascript
const decoded = jwt.verify(token, publicKey, {
  algorithms: ['RS256']
});

[CRYPTO-002] MD5 Password Hashing

Severity: Critical Language: Python Location: models/user.py:45

Vulnerable Code:

python
hashed = hashlib.md5(password.encode()).hexdigest()

Remediation:

python
import bcrypt
hashed = bcrypt.hashpw(password.encode(), bcrypt.gensalt(rounds=12))

Password Hashing Status

LanguageAlgorithmCost/RoundsStatus
Node.jsbcrypt10WARN (use 12+)
PythonMD5N/ACRITICAL
Gobcrypt14OK

Encryption Status

UsageCipherModeStatus
File encryptionAES-256ECBCRITICAL
API encryptionAES-128GCMWARN (use 256)

Random Number Generation

UsageMethodStatus
Session tokensMath.random()CRITICAL
Password resetcrypto.randomBytes()OK

Hardcoded Secrets Found

TypeLocationSeverity
AWS Access Keyconfig/aws.js:3Critical
JWT Secretauth/jwt.js:5Critical
Database Password.env.example:8High

Recommendations

Immediate Actions

  1. Implement algorithm validation for JWT
  2. Migrate password hashing to Argon2id or bcrypt (cost 12+)
  3. Move all secrets to environment variables
  4. Replace Math.random() with crypto.randomBytes()

Hashing Migration Guide

javascript
// Before
const hash = md5(password);

// After
const hash = await bcrypt.hash(password, 12);

// Or with Argon2
const hash = await argon2.hash(password, {
  type: argon2.argon2id,
  memoryCost: 65536,
  timeCost: 3,
  parallelism: 4
});

**Next Step:** JWT vulnerabilities can be verified with crafted tokens.

Frequently asked questions

What does the Perseus Crypto AI skill do?

Deep-dive cryptography and secrets analysis (JWT, hashing, encryption, key management)

Why use Perseus Crypto on TypingMind?

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

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

Which AI models can use Perseus Crypto?

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 Perseus Crypto?

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

Is the Perseus Crypto 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 👇