Dualkey Agent
Description
Approvals, deterministic policy, and signed receipts for AI agent actions.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
DualKey
[](https://github.com/wadeKeith/dualkey-agent/actions/workflows/ci.yml) [](https://github.com/wadeKeith/dualkey-agent/releases) [](./LICENSE) [](./pyproject.toml)
No dangerous agent action without a second key.
Add approvals, policy, and receipts to any AI agent in 10 lines.
DualKey is an execution authorization layer for AI agents. It sits between an agent deciding to do something and that action actually running. The goal is simple: standardize risky actions, evaluate them with deterministic policy, require a second key when needed, and leave behind tamper-evident receipts.
Demos
GIFs are still being recorded. The cards below mark the three public-facing demos the repo is built around:
| Coding agent approval | Browser checkout approval | MCP tool governance |
|---|---|---|
|  |  |  |
Why this exists
The agent ecosystem already has plenty of planning and orchestration. What it still lacks is a shared control plane for dangerous actions:
browser-usecan click through checkout flows.- coding agents can edit files, run shell commands, and push branches.
- MCP servers expose tools that can reach secrets, production systems, and real money.
DualKey focuses on the missing layer:
- action normalization
- deterministic policy
- approval / denial
- evidence receipts
- replay-ready event history
DualKey vs frameworks
| Question | Agent frameworks / runt
Related Skills
Agency Agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy inject
AI Firecrawl
🔥 The API to search, scrape, and interact with the web for AI
AI Artifacts Builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web tech
AI CrewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewA
AI TrendRadar
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的
AI mem0
| Universal memory layer for AI Agents | 51341 | 221 | 1 |
AI