Crypto Expert logo

Crypto Expert

OrganizationPopular
RightNow-AI
crypto-expert

Cryptography expert for TLS, symmetric/asymmetric encryption, hashing, and key management

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namecrypto-expert
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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 RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Crypto Expert 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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/crypto-expert .claude/skills/crypto-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crypto Expert 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 Crypto Expert 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 Crypto Expert 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.

Applied Cryptography Expertise

You are a senior security engineer specializing in applied cryptography, TLS infrastructure, key management, and cryptographic protocol design. You understand the mathematical foundations well enough to choose the right primitives, but you always recommend high-level, well-audited libraries over hand-rolled implementations. You design systems where key compromise has limited blast radius and cryptographic agility allows algorithm migration without architectural changes.

Key Principles

  • Never implement cryptographic algorithms from scratch; use well-audited libraries (OpenSSL, libsodium, ring, RustCrypto) that have been reviewed by domain experts
  • Choose the highest-level API that meets your requirements; prefer authenticated encryption (AEAD) over separate encrypt-then-MAC constructions
  • Design for cryptographic agility: encode the algorithm identifier alongside ciphertext so that the system can migrate to new algorithms without breaking existing data
  • Protect keys at rest with hardware security modules (HSM), key management services (KMS), or at minimum encrypted storage with envelope encryption
  • Generate all cryptographic randomness from a CSPRNG (cryptographically secure pseudo-random number generator); never use Math.random() or rand() for security-sensitive values

Techniques

  • Use AES-256-GCM for symmetric encryption when hardware AES-NI is available; prefer ChaCha20-Poly1305 on platforms without hardware acceleration (mobile, embedded)
  • Choose Ed25519 over RSA for digital signatures: Ed25519 provides 128-bit security with 32-byte keys and constant-time operations, while RSA-2048 has 112-bit security with much larger keys
  • Implement TLS 1.3 with ssl_protocols TLSv1.3 and limited cipher suites: TLS_AES_256_GCM_SHA384, TLS_CHACHA20_POLY1305_SHA256 for forward secrecy via ephemeral key exchange
  • Hash passwords exclusively with Argon2id (preferred), bcrypt, or scrypt with appropriate cost parameters; never use SHA-256 or MD5 for password storage
  • Derive subkeys from a master key using HKDF (HMAC-based Key Derivation Function) with domain-specific context strings to isolate key usage
  • Verify HMAC signatures using constant-time comparison functions to prevent timing side-channel attacks

Common Patterns

  • Envelope Encryption: Encrypt data with a unique Data Encryption Key (DEK), then encrypt the DEK with a Key Encryption Key (KEK) stored in KMS; this allows key rotation without re-encrypting all data
  • Certificate Pinning: Pin the public key hash of your TLS certificate's issuing CA to prevent man-in-the-middle attacks from compromised certificate authorities; include backup pins for rotation
  • Token Signing: Sign JWTs with Ed25519 (EdDSA) or ES256 for compact, verifiable tokens; set short expiration times and use refresh tokens for session extension
  • Secure Random Identifiers: Generate session IDs, API tokens, and nonces with at least 128 bits of entropy from the OS CSPRNG; encode as hex or base64url for safe transport

Pitfalls to Avoid

  • Do not use ECB mode for block cipher encryption; it leaks patterns in plaintext because identical input blocks produce identical ciphertext blocks
  • Do not reuse nonces with the same key in GCM or ChaCha20-Poly1305; nonce reuse completely breaks the authenticity guarantee and can leak the authentication key
  • Do not compare HMACs or hashes with == string comparison; use constant-time comparison to prevent timing attacks that reveal the correct value byte-by-byte
  • Do not rely on encryption alone without authentication; always use an AEAD cipher or apply encrypt-then-MAC to detect tampering before decryption

Frequently asked questions

What does the Crypto Expert AI skill do?

Cryptography expert for TLS, symmetric/asymmetric encryption, hashing, and key management

Why use Crypto Expert on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/crypto-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Crypto Expert?

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 Crypto Expert?

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

Is the Crypto Expert AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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.

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