dashclaw-governance

dashclaw-governance is a skill for Claude Code, Codex from ucsandman/dashclaw-skills. It costs 115 tokens per session (2,357 once invoked), scanned A, original, MIT.

A set of rules for making AI agents operate under DashClaw, a system that monitors actions and applies organisational policies. It explains how to load policies, discover approved capabilities, start sessions, and handle decisions such as allow, warn, block, or require approval.

In plain words
What is it for?
Use it when building or running an agent that must follow DashClaw governance policies and use registered external services through DashClaw.
Why use it?
It gives agents a consistent way to check risky actions, record activity, wait for human approval, and manage their session lifecycle.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; mentions Codex; built for openclaw.

Good fit Use it when building or running an agent that must follow DashClaw governance policies and use registered external services through DashClaw.

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Install with agentmods
npx agentmods add skills/ucsandman/dashclaw-skills/dashclaw-governance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ucsandman/dashclaw-skills --skill dashclaw-governance
Clone the repo
git clone --depth 1 https://github.com/ucsandman/dashclaw-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dashclaw-governance

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/dashclaw-governance/github.svg)](https://agentmods.dev/skills/ucsandman/dashclaw-skills/dashclaw-governance)
Your own site
<a href="https://agentmods.dev/skills/ucsandman/dashclaw-skills/dashclaw-governance"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/dashclaw-governance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dashclaw-governance

Your own site · 80×15
<a href="https://agentmods.dev/skills/ucsandman/dashclaw-skills/dashclaw-governance"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/dashclaw-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,357 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00115 $0.02357
Opus 5 $0.00057 $0.01179
Sonnet 5 $0.00023 $0.00471
Haiku 4.5 $0.00012 $0.00236

Measured 11d ago against content hash 6c45b37816cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dashclaw-governance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/dashclaw-governance/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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. Proceed on allow/warn.
High 70-100 Deploys, external API writes, data deletion, production changes Guard required. Expect approval or block.

Guard Decision Handling

When you call dashclaw_guard, you will receive one of four decisions:

allow — Proceed with the action. No restrictions.

warn — Proceed with caution. The action is permitted but flagged. Include the warning context in your action record (dashclaw_record).

block — Stop immediately. Do NOT proceed with the action. Do NOT attempt the action through another path or tool. Report the block reason to the user. The policy exists for a reason.

Read the full file on GitHub · 201 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 201 lines · 115 tokens per session scan A 6c45b37816cd

Subscribe to this mod's changes

dashclaw-governance is a skill published in the GitHub repository ucsandman/dashclaw-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 115 tokens to every session and 2,357 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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