duclm1x1
duclm1x1/Dive-Ai
相关职业SOC
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill janee命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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基于 SOC 职业分类
| name | janee |
| version | 0.1.0 |
| description | Secrets management for AI agents. Never expose your API keys again. |
| homepage | https://github.com/rsdouglas/janee |
| metadata | {"category":"security","emoji":"🔐"} |
Secrets management for AI agents. Store API keys encrypted, make requests through Janee, never touch the real key.
Most skills tell you to store API keys in plaintext config files. One prompt injection, one leaked log, one compromised session — and your keys are exposed.
Janee fixes this:
npm install -g @true-and-useful/janee
janee init
janee add
Follow the prompts to add your API credentials. Keys are encrypted automatically.
Instead of calling APIs directly with your key, call them through Janee:
# Old way (dangerous):
curl -H "Authorization: Bearer sk_live_xxx" https://api.stripe.com/v1/balance
# Janee way (safe):
# Agent calls execute(capability, method, path) via MCP
# Janee injects the key, agent never sees it
Install the OpenClaw plugin for native tool support:
openclaw plugins install @true-and-useful/janee-openclaw
Your agent now has:
janee_list_services — see available APIsjanee_execute — make requests through Janeejanee_reload_config — hot-reload after config changesInstead of storing your Moltbook key in ~/.config/moltbook/credentials.json:
janee add moltbook -u https://www.moltbook.com/api/v1 -k YOUR_KEY
Then use Janee to post:
# Your agent calls:
janee_execute(service="moltbook", method="POST", path="/posts", body=...)
Your Moltbook key stays encrypted. Even if your agent is compromised, the key can't be exfiltrated.
services:
stripe:
baseUrl: https://api.stripe.com
auth:
type: bearer
key: sk_live_xxx # encrypted
moltbook:
baseUrl: https://www.moltbook.com/api/v1
auth:
type: bearer
key: moltbook_sk_xxx # encrypted
capabilities:
stripe_readonly:
service: stripe
rules:
allow: [GET *]
deny: [POST *, DELETE *]
moltbook:
service: moltbook
ttl: 1h
autoApprove: true
┌─────────────┐ ┌──────────┐ ┌─────────┐
│ AI Agent │─────▶│ Janee │─────▶│ API │
│ │ MCP │ │ HTTP │ │
└─────────────┘ └──────────┘ └─────────┘
│ │
No key Injects key
+ logs request