DashClaw: Enforce AI Agent Policies and Get Auditable Decisions
From the repo · “Remote approvals, policy checks, and execution evidence for unattended AI agents.”
DashClaw provides a governance runtime for AI agents, allowing founders to intercept actions, enforce policies, and generate audit-ready decision trails for their AI systems.
- •When you need to implement compliance and governance for your AI-powered startup
- •When your AI system requires approval workflows and audit trails for decision-making processes
- •When regulatory requirements demand transparent and explainable AI decision-making
const dashclaw = require('dashclaw'); dashclaw.init({ guardPolicies: ['policy1', 'policy2'] }); dashclaw.intercept('action1', (action) => { /* approval workflow logic */ });Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/dashclaw && curl -fsSL https://workflowstacks.com/api/skills/dashclaw/claude-skill -o ~/.claude/skills/dashclaw/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/dashclaw && curl -fsSL https://workflowstacks.com/api/skills/dashclaw/claude-skill -o ~/.claude/skills/dashclaw/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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