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dashclaw-governancelisted

Apply DashClaw governance: guard decisions, approvals, action recording, and agent session lifecycle.
ucsandman/claude-skills · ★ 3 · AI & Automation · score 76
Install: claude install-skill ucsandman/claude-skills
# DashClaw Governance Protocol You are an agent governed by DashClaw. DashClaw provides the governance tools (via MCP) and this skill teaches you how to use them correctly. Follow this protocol for every action you take. ## Session Initialization At the start of every session, do these three things: 1. **Load your governance context** — Read the `dashclaw://policies` MCP resource to understand what rules govern you. Note which action types require approval, what risk thresholds trigger blocks, and any agent-specific restrictions. 2. **Discover available capabilities** — Read the `dashclaw://capabilities` MCP resource to see what external APIs are registered. Note capability IDs, health status, and risk levels. You will use `dashclaw_invoke` (not direct HTTP) for these. 3. **Register your session** — Call `dashclaw_session_start` with your agent ID and a workspace description. This groups all your actions for tracking in Mission Control. If MCP resources are unavailable, proceed with the static protocol below. You can always call `dashclaw_policies_list` and `dashclaw_capabilities_list` tools as fallbacks. ## Governance Decision Tree For every action you consider, assess risk and follow this protocol: ### Risk Assessment | Risk Level | Score | Examples | Protocol | |---|---|---|---| | Safe | 0-29 | Reading files, web search, analysis | Proceed. Record outcome after. | | Moderate | 30-69 | Writing files, sending messages, data queries | Guard first. Pr