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Agent skill

Test Data Protection Crypto

by cyberful in cyberful/cyberful

Assess sensitive-data lifecycle, secret handling, cryptographic design and implementation, key management, password storage, randomness, signing, encryption, transport protection, and side channels…

AGPL-3.0Auto-check passedSecurity

Install Test Data Protection Crypto

skills CLI
$ npx skills add cyberful/cyberful --skill test-data-protection-crypto -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cyberful/cyberful test-data-protection-crypto --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cyberful/builtin/skills/test-data-protection-crypto .claude/skills/test-data-protection-crypto && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
test-data-protection-crypto
GitHub stars
135
Token cost
~924 tokens
SKILL.md length
340 words
Files
4 (incl. references)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Assess sensitive-data lifecycle, secret handling, cryptographic design and implementation, key management, password storage, randomness, signing, encryption, transport protection, and side channels…

  • Works in 8 steps: plaintext origin and canonical… → algorithm, mode, parameters, and library; → key derivation, location, purpose,… → …
  • Hardcoded secrets
  • SKILL.md covers Start From Data and Security…, Build the Cryptographic Dataflow, Verify With Properties and… and Separate Exposure From…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Test Data Protection Crypto is an agent skill from cyberful/cyberful. Assess sensitive-data lifecycle, secret handling, cryptographic design and implementation, key management, password storage, randomness, signing, encryption, transport protection, and side channels during authorized penetration tests or code audits. Use for data exposure, hardcoded secrets, weak cryptography, token forgery, nonce misuse, key rotation, TLS, backup, log, export, deletion, and privacy-boundary review.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/cryptographic-review.md` and `references/data-lifecycle.md`).

It sits in Security, covering Cryptography and Test data and fixtures. The repository describes itself as: Cyberful is an open-source AI Red Team for discovering, exploiting, verifying, and remediating vulnerabilities. The licence is AGPL-3.0.

When your agent uses it

  • Hardcoded secrets
  • Weak cryptography
  • Privacy-boundary review

Example prompts

  • “/test-data-protection-crypto”

Workflow steps

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

  1. plaintext origin and canonical representation;
  2. algorithm, mode, parameters, and library;
  3. key derivation, location, purpose, version, and access path;
  4. nonce, IV, salt, sequence, or counter generation;
  5. associated data and context binding;
  6. encoding, framing, and transport;
  7. verification or decryption order and error behavior;
  8. rotation, migration, revocation, recovery, and destruction.

What it can do on your machine

Read from SKILL.md and the folder at commit ec598a6. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Test Data Protection Crypto loads about 924 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 340 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~924
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 340 words, ~924 tokens.

Download SKILL.mdSave it as .claude/skills/test-data-protection-crypto/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
test-data-protection-crypto
description
Assess sensitive-data lifecycle, secret handling, cryptographic design and implementation, key management, password storage, randomness, signing, encryption, transport protection, and side channels during authorized penetration tests or code audits. Use for data exposure, hardcoded secrets, weak cryptography, token forgery, nonce misuse, key rotation, TLS, backup, log, export, deletion, and privacy-boundary review.
metadata.domain
application-security
metadata.subdomain
data-protection-cryptography
metadata.triggers
cryptographic design review, sensitive data lifecycle, key management, secret handling, password storage, encryption misuse
metadata.tags
cryptography, key-management, secrets, encryption, signing, sensitive-data

Test Data Protection and Cryptography

Start From Data and Security Properties

Inventory sensitive data and derived identifiers across collection, transit, processing, memory, storage, cache, logs, analytics, exports, backups, support tools, replicas, and deletion. Record owner, tenant, readers, writers, retention, residency, and the consequence of disclosure, modification, replay, rollback, or unavailability.

Define the required property before evaluating an algorithm: confidentiality, integrity, authenticity, freshness, unlinkability, forward secrecy, password-hardening, or non-repudiation. Encryption is not a substitute for authorization, and signing is not a substitute for freshness or context binding.

Read data-lifecycle.md for exposure analysis. Read cryptographic-review.md for primitive, protocol, and key review.

Build the Cryptographic Dataflow

For every protected value, trace:

  1. plaintext origin and canonical representation;
  2. algorithm, mode, parameters, and library;
  3. key derivation, location, purpose, version, and access path;
  4. nonce, IV, salt, sequence, or counter generation;
  5. associated data and context binding;
  6. encoding, framing, and transport;
  7. verification or decryption order and error behavior;
  8. rotation, migration, revocation, recovery, and destruction.

Review call sites, not only wrappers. A secure wrapper can be bypassed by legacy helpers, configuration fallbacks, or manual encoding.

Verify With Properties and Test Vectors

Use known-answer tests, boundary inputs, duplicate operations, corrupted fields, wrong context, wrong key version, reordered messages, stale artifacts, and restart behavior. Search for nonce reuse across process forks, replicas, retries, backups, and counter resets.

Measure timing only with sufficient repeated samples and matched controls. Prefer a code-level proof when a variable-time secret comparison or padding oracle is directly visible.

Separate Exposure From Exploitability

Classify exposed material precisely: public identifier, personal data, authentication secret, service credential, key-encryption key, signing key, recovery material, or encrypted blob with accessible keys. Establish actual access path and retention.

Do not inflate a version string or disabled legacy cipher into a critical finding without a negotiated or reachable path.

Produce an Architectural Fix

State the failed property, cryptographic boundary, key scope, affected data, and rotation implications. Recommend well-reviewed high-level constructions, purpose-separated keys, explicit versioning, authenticated framing, controlled secret stores, and migration that handles existing ciphertext and tokens.

© cyberful, AGPL-3.0. 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 3 other files (references) in cyberful/builtin/skills/test-data-protection-crypto of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • references/cryptographic-review.md
  • references/data-lifecycle.md

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Test Data Protection Crypto next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Test Data Protection Crypto compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Test Data Protection Crypto this skillcyberful/cyberful135—~924Automated safety check: PassAGPL-3.0
Bom Explorecdxgen/cdxgen1.1k—~1.2kAutomated safety check: PassApache-2.0
Webcrypt MCPputervision/state-memory-mcp114—~847Automated safety check: PassMIT
Crypto Analysishypnguyen1209/offensive-claude388—~2.2kAutomated safety check: PassMIT
Security Reviewvalory-xyz/open-autonomy129—~11kAutomated safety check: NotesApache-2.0
Hashcat Password Recovery WorkflowAgentSecOps/SecOpsAgentKit2201 repos~3.3kAutomated safety check: NotesCustom licence

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Categories

Questions about Test Data Protection Crypto

What does Test Data Protection Crypto do?

Assess sensitive-data lifecycle, secret handling, cryptographic design and implementation, key management, password storage, randomness, signing, encryption, transport protection, and side channels…. Test Data Protection Crypto is an agent skill from cyberful/cyberful. Assess sensitive-data lifecycle, secret handling, cryptographic design and implementation, key management, password storage, randomness, signing, encryption, transport protection, and side channels during authorized penetration tests or code audits.

When should I use Test Data Protection Crypto?

Test Data Protection Crypto fits situations like: hardcoded secrets; weak cryptography; privacy-boundary review.

How do I install Test Data Protection Crypto in Claude Code?

Run `npx skills add cyberful/cyberful --skill test-data-protection-crypto -a claude-code`. Or copy the skill folder (cyberful/builtin/skills/test-data-protection-crypto in cyberful/cyberful) into .claude/skills/test-data-protection-crypto in your project. Claude Code loads it when a task matches its description.

How do I install Test Data Protection Crypto in Codex?

Run `npx skills add cyberful/cyberful --skill test-data-protection-crypto -a codex`. Or copy the skill folder (cyberful/builtin/skills/test-data-protection-crypto in cyberful/cyberful) into .agents/skills/test-data-protection-crypto in your project. Codex loads it when a task matches its description.

Can I use Test Data Protection Crypto in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cyberful/cyberful --skill test-data-protection-crypto -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-data-protection-crypto, .gemini/skills/test-data-protection-crypto, .github/skills/test-data-protection-crypto and .opencode/skills/test-data-protection-crypto in your project.

What does Test Data Protection Crypto need to run?

SKILL.md names no scripts, command-line tools or credentials: Test Data Protection Crypto is instructions for the agent only.

Does Test Data Protection Crypto access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Test Data Protection Crypto safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Test Data Protection Crypto use?

Test Data Protection Crypto is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Test Data Protection Crypto use?

About 924 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Test Data Protection Crypto?

Skills that share tags, products or a category with Test Data Protection Crypto: Bom Explore (cdxgen/cdxgen, 1.1k stars), Webcrypt MCP (putervision/state-memory-mcp, 114 stars), Crypto Analysis (hypnguyen1209/offensive-claude, 388 stars) and Security Review (valory-xyz/open-autonomy, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Data Protection Crypto?

cyberful (a GitHub organization) maintains it in cyberful/cyberful, which has 135 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 24, 2026.

Source: cyberful/cyberful on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.