Skill Detail

Put approval gates and audit-ready policy checks between agents and external actions with DashClaw

Use DashClaw to intercept agent actions before they hit external systems, require approval or policy evaluation, and keep replayable decision evidence for later review.

Security & VerificationMulti-Framework
Security & Verification Multi-Framework Security Reviewed
โญ 241 GitHub stars โฌ‡ 1.6k/wk npm
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill put-approval-gates-and-audit-ready-policy-checks-between-agents-and-external-actions-with-dashclaw Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
DashClaw service plus a supported agent framework or MCP-capable client
Install & setup
Deploy DashClaw from the repository or quick-start docs, connect a supported agent client or MCP server, and route external actions through DashClaw so approval and policy checks run before execution.
Author
ucsandman
Publisher
Individual
Last updated
Apr 22, 2026
Quick brief

DashClaw is publishable as a bounded governance skill rather than a generic agent platform card. The agent job is clear: sit in front of risky external actions, evaluate them against approval or policy rules, stop or allow execution, and record verifiable evidence of what happened. The source describes this as decision infrastructure that intercepts actions and produces audit-ready trails.

How it works

What this skill actually does

Invoke this instead of using an agent stack normally when the missing piece is governed execution: approvals, policy enforcement, and decision replay before an agent touches external systems. The boundary keeps it skill-shaped. This is not a listing for every framework DashClaw supports, nor a general orchestration product entry. It is specifically the guarded action-interception and evidence-capture layer.