Implementing Homomorphic Encryption

What it does

When your agent uses it

• Tasks that involve Privacy and GDPR
• Tasks that involve Cryptography

Example prompts

• “/implementing-homomorphic-encryption”

Requirements

• Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

1. 1Identify computation — Define the exact mathematical function to compute on encrypted data. Express it as additions and multiplications…
2. 2Select scheme — Choose BFV for exact integer results, CKKS for approximate real-number results, TFHE for arbitrary boolean/integer…
3. 3Estimate circuit depth — Count the maximum number of sequential multiplications in the computation graph. This determines parameter…
4. 4Select parameters — Choose poly_modulus_degree and coeff_modulus to support the required depth at 128-bit security.
5. 5Implement and test — Implement the computation using an HE library. Test against plaintext reference implementation to verify correctness.
6. 6Benchmark — Measure encryption, computation, and decryption latency. Verify memory requirements are within infrastructure limits.
7. 7Deploy — Establish key management (secret key in HSM at controller, public keys distributed to processor), monitoring, and audit logging.

What it can do on your machine

Read from SKILL.md and the folder at commit 9b2ef9e. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Homomorphic Encryption loads about 2.2k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 702 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~86

When it runs · the whole SKILL.md, loaded when a task matches

~2.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 702 words, ~2,176 tokens.

name

implementing-homomorphic-encryption

description

Guide to implementing homomorphic encryption for privacy-preserving computation under GDPR. Covers scheme selection (BFV, BGV, CKKS, TFHE), Microsoft SEAL, IBM HELib, and Google FHE transpiler. Includes performance benchmarks, parameter tuning, and basic HE example code for encrypted arithmetic operations.

license

Apache-2.0

metadata.author

mukul975

metadata.version

1.0

metadata.domain

privacy

metadata.subdomain

privacy-by-design

metadata.tags

homomorphic-encryption, microsoft-seal, ckks, bfv, privacy-preserving-computation

┌────────────────────────────────────────────────────────────┐
│              Data Controller (Prism Data Systems AG)        │
│  ┌──────────────────┐  ┌──────────────────────────────┐   │
│  │ Key Generator     │  │ Encrypt personal data        │   │
│  │ (sk stays here)   │  │ with public key              │   │
│  └────────┬─────────┘  └──────────┬───────────────────┘   │
│           │ pk, rlk, gk           │ ciphertext             │
└───────────┼───────────────────────┼────────────────────────┘
            │                       │
            ▼                       ▼
┌────────────────────────────────────────────────────────────┐
│              Data Processor (Cloud Service)                  │
│  ┌──────────────────────────────────────────────────────┐  │
│  │ Compute on ciphertext using pk, rlk, gk              │  │
│  │ (NEVER has access to sk — cannot decrypt)             │  │
│  │                                                        │  │
│  │ Operations: HE.Add, HE.Multiply, HE.Rotate           │  │
│  └──────────────────────────┬───────────────────────────┘  │
│                              │ encrypted result             │
└──────────────────────────────┼─────────────────────────────┘
                               │
                               ▼
┌────────────────────────────────────────────────────────────┐
│              Data Controller (Prism Data Systems AG)        │
│  ┌──────────────────────────────────────────────────────┐  │
│  │ Decrypt result using sk                               │  │
│  │ Plaintext result = f(data) computed without exposure   │  │
│  └──────────────────────────────────────────────────────┘  │
└────────────────────────────────────────────────────────────┘

Key:
  sk = Secret key (never leaves controller)
  pk = Public key (for encryption and computation)
  rlk = Relinearization keys (for ciphertext multiplication)
  gk = Galois keys (for ciphertext rotation/SIMD operations)

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/privacy/implementing-homomorphic-encryption of mukul975/Privacy-Data-Protection-Skills.

• SKILL.md
• assets/template.md
• references/standards.md
• references/workflows.md
• scripts/process.py

Open the folder on GitHubat commit 9b2ef9e