Implementing Secure Multi Party Computation

What it does

When your agent uses it

• Tasks that involve Privacy and GDPR

Example prompts

• “/implementing-secure-multi-party-computation”

Requirements

• Python 3

Workflow steps

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

1. 1Define the computation — Express the joint function as arithmetic or boolean operations.
2. 2Select security model — Semi-honest if all parties are trusted (e.g., consortium members); malicious if adversarial behavior is possible.
3. 3Select framework — Choose MP-SPDZ for flexibility, CrypTen for ML workloads, Sharemind for managed enterprise.
4. 4Implement protocol — Write the computation in the framework's DSL, test on synthetic data.
5. 5Benchmark — Measure end-to-end latency, communication volume, and memory usage.
6. 6Deploy — Establish secure communication channels (mTLS), key distribution, and monitoring.
7. 7Govern — Execute joint controller agreement (Art. 26), update Article 30 records, document in DPIA.

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 Secure Multi Party Computation loads about 2.2k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 845 words of instructions outside code blocks.

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

~92

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

~4.5k

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). 845 words, ~2,203 tokens.

name

implementing-secure-multi-party-computation

description

Implementation guide for secure multi-party computation enabling privacy-preserving analytics across organizations. Covers secret sharing, garbled circuits, reference frameworks MP-SPDZ and CrypTen, practical deployment patterns, and GDPR alignment for joint controller analytics without revealing individual party inputs.

license

Apache-2.0

metadata.author

mukul975

metadata.version

1.0

metadata.domain

privacy

metadata.subdomain

privacy-by-design

metadata.tags

secure-mpc, secret-sharing, garbled-circuits, mp-spdz, crypten

┌─────────────────────────────────────────────────────────────┐
│                  SMPC Computation Coordinator                │
│              (orchestrates protocol execution)               │
└──────┬─────────────────┬─────────────────┬──────────────────┘
       │                 │                 │
┌──────▼──────┐  ┌───────▼──────┐  ┌──────▼──────┐
│  Party A    │  │  Party B     │  │  Party C    │
│  (Bank)     │  │  (Insurer)   │  │  (Retailer) │
│             │  │              │  │             │
│ Input: x_A  │  │ Input: x_B   │  │ Input: x_C  │
│ Share: [x_A]│  │ Share: [x_B] │  │ Share: [x_C]│
│             │  │              │  │             │
│ Compute on  │  │ Compute on   │  │ Compute on  │
│ local share │  │ local share  │  │ local share │
└──────┬──────┘  └───────┬──────┘  └──────┬──────┘
       │                 │                 │
       └────────────────►│◄────────────────┘
                         │
                  ┌──────▼──────┐
                  │  Output:    │
                  │  f(x_A,x_B, │
                  │    x_C)     │
                  │  (revealed  │
                  │   to all)   │
                  └─────────────┘

Each party learns ONLY the final output f(x_A, x_B, x_C),
NOT the individual inputs of other parties.

© 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-secure-multi-party-computation 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