Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/wangyendt/wayne-skills/cryptonpx skills add wangyendt/wayne-skills --skill cryptogit clone --depth 1 https://github.com/wangyendt/wayne-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wangyendt/wayne-skills/crypto)<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/crypto"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/crypto.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.01125 |
| Opus 5 | $0.00032 | $0.00562 |
| Sonnet 5 | $0.00013 | $0.00225 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
pywayne-crypto scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pywayne Crypto
加密解密工具集,支持对称加密、自定义密码和代码混淆保护。
Quick Start
from pywayne.crypto import encrypt, decrypt
# 基础加密/解密
encrypted = encrypt("Hello World")
decrypted = decrypt(encrypted)
print(decrypted) # 输出: Hello World
# 使用自定义密码加密
encrypted = encrypt("Secret message", "my_password")
decrypted = decrypt(encrypted, "my_password")
print(decrypted) # 输出: Secret message
encrypt - 加密函数
加密字符串或字节数据。
# 文本加密
encrypted = encrypt("机密信息", "password")
# 字节加密
byte_data = b"binary data"
encrypted = encrypt(byte_data, "password")
参数:
| 参数 | 类型 | 说明 |
|---|---|---|
text |
str or bytes | 要加密的文本数据或字节数据 |
password |
str | 可选,自定义密码。不提供时使用默认密钥 |
返回值:str - base64 编码的加密字符串
参数类型错误处理:
- 当输入不是
str或bytes时抛出ValueError
decrypt - 解密函数
解密之前加密的字符串。
# 解密(使用默认密钥)
decrypted = decrypt(encrypted_text)
# 解密(使用自定义密码)
decrypted = decrypt(encrypted_text, "my_password")
参数:
| 参数 | 类型 | 说明 |
|---|---|---|
encrypted_text |
str | 要解密的 base64 编码字符串 |
password |
str | 可选,解密密码。必须与加密时使用的密码相同 |
返回值:str - 解密后的原始字符串
批量操作
支持批量加密和解密操作。
from pywayne.crypto import encrypt, decrypt
data = ["数据1", "数据2", "数据3"]
password = "batch_password"
# 批量加密
encrypted_list = encrypt_batch(data, password)
# 批量解密
decrypted_list = decrypt_batch(encrypted_list, password)
参数:
| 函数 | 参数 | 说明 |
|---|---|---|
encrypt_batch(data_list, password) |
data_list: 数据列表 | password: 密码 |
decrypt_batch(encrypted_list, password) |
encrypted_list: 加密数据列表 | password: 密码 |
返回值:list[str] - 解密结果列表(失败项目为 None)
配置文件管理
保存和加载加密配置文件(JSON 格式)。
from pywayne.crypto import encrypt, decrypt
# 保存配置
config = {"database": {"host": "localhost", "username": "admin", "password": "secret"}}
save_config(config, "master_password", "config.enc")
# 加载配置
loaded_config = load_config("master_password", "config.enc")
print(loaded_config) # 输出: {'database': {...}}
参数:
| 函数 | 参数 | 说明 |
|---|---|---|
save_config(config_dict, password, filename) |
config_dict: 配置字典 | password: 加密密码 |
load_config(password, filename) |
password: 解密密码 | filename: 配置文件名 |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 156 lines · 65 tokens per session scan A c9ebd6d217fb
pywayne-crypto is a skill published in the GitHub repository wangyendt/wayne-skills (8 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 1,125 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
pennylane
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with…
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.
rocm-kernels
Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…
holoscan-install-wheel
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
typing-exclusion-worker
Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.