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kgapol

Accountable AI

by kgapol · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install accountable-ai
Description
Implements governance for AI teams by defining roles, decision authority, procedures, and delegation to ensure accountability and traceable actions.
README (SKILL.md)

Accountable AI — Governance Framework for AI Agent Teams

Use this skill to implement accountability structures, decision trails, and responsibility chains across your AI agent team.

What This Skill Does

Establishes a governance framework that makes every AI agent in your team accountable for:

  • What they were asked to do
  • What they actually did
  • What decisions they made autonomously
  • What they escalated and why

When to Use

  • Setting up a new AI agent team
  • When you need to know who did what and when
  • After something goes wrong and you need to trace the root cause
  • When giving agents more autonomy and need guardrails
  • When multiple agents interact and ownership gets blurry

Core Files

This skill installs three files to your agent workspace:

GOVERNANCE.md — The accountability charter. Defines roles, decision authority, and responsibility chains. Each agent reads this on startup to know what they can do independently and what requires escalation.

PROCEDURES.md — Repeatable checklists for operations that must not be improvised. Config changes, agent onboarding, infrastructure tasks. When an agent encounters a known procedure type, it runs the checklist — not its own interpretation.

DELEGATION.md — The delegation protocol. How work moves between agents. Who owns what. How handoffs are documented. Prevents the "I thought someone else was handling it" failure mode.

How It Works

  1. Install the files to your agent workspace
  2. Reference them in your AGENTS.md so agents load them each session
  3. Agents follow the governance rules automatically when making decisions
  4. Procedures prevent improvisation on sensitive operations
  5. Delegation logs create an audit trail of who did what

Installation

chmod +x install.sh && ./install.sh

Or manually copy GOVERNANCE.md, PROCEDURES.md, and DELEGATION.md to your agent workspace.

After Installing

Add to your AGENTS.md boot sequence:

3. Read GOVERNANCE.md — your decision authority and escalation rules
4. Read PROCEDURES.md — before any config change or infrastructure task

Part of Trust AI Suite

Accountable AI is the foundation layer of the Trust AI Suite:

  • Accountable AI (this) — Governance & accountability
  • Proof of Work — Verify agents completed tasks
  • AgentOps Tracker — Full operational visibility ($49)
  • Total Recall — Forensic memory search ($69)
  • Anticipation — Predict what you need before you ask ($39)

→ Full suite: Trust AI Stack on ClawMart

Usage Guidance
This package appears to be a documentation-only governance framework and is internally consistent. Before installing: (1) Inspect the three markdown files locally (GOVERNANCE.md, PROCEDURES.md, DELEGATION.md) and confirm you agree with the behavioral rules (especially any items that allow agents to modify files or delete BOOTSTRAP.md). (2) Prefer manually copying the files into your agent workspace instead of running install.sh if you want to control where files land. (3) Ensure agents that will load these documents do not have unrestricted credentials (git push, cloud creds) unless you explicitly trust them — the docs permit committing/pushing if repo access exists. (4) Backup any existing BOOTSTRAP.md or memory files before following 'first run' instructions. (5) If you enforce least privilege for agents, review and tighten agent policies so automated behaviors (deletion, repo pushes, broad filesystem writes) require administrator approval.
Capability Analysis
Type: OpenClaw Skill Name: accountable-ai Version: 1.0.0 The bundle provides a governance and accountability framework for AI agents consisting entirely of markdown-based instructions and checklists. The installation script (install.sh) is safe, performing only local file operations to create a configuration directory (~/.accountable-ai/) and copy documentation. The instructions in SKILL.md and GOVERNANCE.md are well-aligned with the stated purpose of improving agent transparency and safety, explicitly including rules against data exfiltration and unauthorized destructive actions.
Capability Assessment
Purpose & Capability
Name and description match the artifacts and actions: the package provides governance documents and an installer that copies those documents into ~/.accountable-ai. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md and the docs instruct agents to read and write workspace memory files, maintain logs, follow delegation procedures, and (if they have repo access) commit changes. Those actions are consistent with a governance framework, but a few directives are ambiguous or risky in practice (e.g., guidance to delete BOOTSTRAP.md, the contradictory 'Don't ask permission. Just do it.' vs. 'When in doubt, ask.', and explicit permission to 'commit and push your own changes' if repo access exists). These could enable unintended autonomous modifications if agents are overly permissive.
Install Mechanism
The only install artifact is install.sh which copies static markdown files into $HOME/.accountable-ai. There are no network downloads, archive extraction, or execution of fetched code. Installation is low-risk and easily inspected before running.
Credentials
The skill requests no environment variables or credentials. The documents mention agent-config files and repo access as operational context but do not require or attempt to obtain secrets. The scope of access described (workspace files, memory files) is proportional to a governance/training framework.
Persistence & Privilege
Persistence is minimal: install.sh creates ~/.accountable-ai and copies docs there. It does not set system-wide settings, modify other skills, or request always:true. Still, it writes files to the user's home directory and makes the installer script executable; that persistent presence is reasonable for documentation but worth noting.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install accountable-ai
  3. After installation, invoke the skill by name or use /accountable-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Accountable AI, a governance framework for AI agent teams. - Introduces role and responsibility documentation with GOVERNANCE.md, PROCEDURES.md, and DELEGATION.md. - Enables decision trails, accountability, and clear delegation among agents. - Provides procedures to prevent improvisation on sensitive operations. - Designed for traceability, audit trails, and robust escalation protocols. - Part of the Trust AI Suite for comprehensive AI team management.
Metadata
Slug accountable-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Accountable AI?

Implements governance for AI teams by defining roles, decision authority, procedures, and delegation to ensure accountability and traceable actions. It is an AI Agent Skill for Claude Code / OpenClaw, with 112 downloads so far.

How do I install Accountable AI?

Run "/install accountable-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Accountable AI free?

Yes, Accountable AI is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Accountable AI support?

Accountable AI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Accountable AI?

It is built and maintained by kgapol (@kgapol); the current version is v1.0.0.

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