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decision-ownership-audit-ignacio-adrian-lerer

Audits AI-assisted legal, compliance, governance, and institutional decisions before reliance to determine whether the responsible human or institution has…

Skill by Ignacio Adrián Lerer

IndexedAGPL-3.0★ 895
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/lawve-ai-decision-ownership-audit-ignacio-adrian-lerer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Audits AI-assisted legal, compliance, governance, and institutional decisions before reliance to determine whether the responsible human or institution has enough access to the evidence, reasoning basis, uncertainty, authority, and review path to genuinely own the decision rather than merely approve, sign, or transmit it.

Use cases: security, legal

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/decision-ownership-audit-ignacio-adrian-lerer

What's inside

Skill name
decision-ownership-audit-ignacio-adrian-lerer
Description
Audits AI-assisted legal, compliance, governance, and institutional decisions before reliance to determine whether the responsible human or institution has enough access to the evidence, reasoning basis, uncertainty, authority, and review path to genuinely own the decision rather than merely approve, sign, or transmit it.
License
AGPL-3.0
Metadata
author: Ignacio Adrián Lerer · license: agpl-3.0 · version: 2026-06-03
Instructions
170 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: "decision-ownership-audit-ignacio-adrian-lerer" does not match folder "decision-ownership-audit-adrian-lerer"

Files (2)

  • README.md
  • SKILL.md

SKILL.md (first lines)

# Decision Ownership Audit

## What This Skill Does

This skill audits whether a person or institution can responsibly rely on an AI-assisted legal or governance output before approving, signing, filing, sending, enforcing, or otherwise acting on it.

It does not ask only whether the output is correct, plausible, well written, or formally reviewed. It asks whether the responsible actor has enough access to the basis of the decision to stand behind it as a professional or institutional judgment.

Use it for legal memos, litigation strategy, contract review, compliance decisions, regulatory responses, board materials, risk approvals, due diligence conclusions, policy determinations, and other outputs that may move from analysis into reliance.

## Core Question

Can the responsible human or institution genuinely own this decision, or are they merely ratifying an output whose basis they cannot inspect, contest, or correct?

## Audit Protocol

### 1. Responsible Actor Identification

Identify who is expected to own the decision.

Classify the actor as:

- lawyer or legal team;
- client or business decision-maker;
- compliance officer;
- board, committee, or management body;
- public authority or institutional officer;
- automated or semi-automated workflow with a named human sponsor.

If no responsible actor is identifiable, the output is not ready for reliance.

### 2. Decision Surface

State what the actor is being asked to do with the output:

- read only;
- use as background;
- rely on for professional analysis;
- recommend a course of action;
- approve, sign, file, send, or enforce;
- execute through an automated system;
- affect third-party rights, duties, assets, deadlines, or legal position.

Higher-consequence uses require stronger ownership conditions.

### 3. Evidence Access

Check whether the actor can inspect the evidence supporting each material conclusion.

The output should expose:

- source documents or legal authorities;
- relevant clauses, facts, sections, pages, or records;
- missing evidence;
- conflicting evidence;
- source reliability or currency concerns;
- whether a conclusion is based on the document, external law, inference, professional judgment, or policy.

If the evidence cannot be inspected, mark the decision as ownership-deficient.

### 4. Reasoning Access

Check whether the actor can reconstruct the reasoning path at the level required for the decision.

The output should show:

- the legal or operational issue;
- the rule, standard, mandate, or criterion applied;
- the material facts used;
- the inference from facts to conclusion;
- alternatives considered;
- why rejected alternatives were rejected;
- the limits of the analysis.

Do not treat a post-hoc explanation, summary, confidence score, or fluent conclusion as sufficient by itself.

### 5. Uncertainty Visibility

Identify uncertainty that affects ownership:

- contested legal interpretation;
- missing facts;
- stale or unverified legal authority;
- ambiguous document language;
- dependency on assumptions;
- jurisdictional mismatch;
- unresolved factual or evidentiary conflict;
- model, retrieval, or tool limitations.

Uncertainty must be visible enough to influence the decision before reliance occurs.

### 6. Authority and Competence

Check whether the actor has authority and competence for the specific decision.

Ask:

- Does the actor have mandate, role, or delegation to make this decision?
- Does the mandate cover this matter, jurisdiction, client, entity, or transaction?
- Has the mandate expired, been limited, or been superseded?
- Does the actor need specialist review?
- Does the decision require client, board, court, regulator, partner, or supervisor approval?

Formal responsibility is not enough if the actor lacks authority or practical competence.

### 7. Contestability and Correction

Check whether the actor can challenge and correct the output before action.

The workflow should allow:

- requesting source support;
- correcting facts;
- changing assumptions;
- escalating uncertain issues;
- rejecting unsupported conclusions;
- preserving an audit trail of material changes.

If the workflow allows only accept/send/execute, ownership is weak.

From lawve-ai/awesome-legal-skills, AGPL-3.0.

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    Stars
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    Forks
    119
    Open issues
    7
    Last commit (this folder)
    Jul 30, 2026 (3 months ago)

    From GitHub (fetched Oct 24, 2026).

    Details

    Version
    2026-06-03
    License
    AGPL-3.0
    Website
    lawve.ai
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

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    decision-ownership-audit-ignacio-adrian-lerer skill. Agent Mart. https://agentmart.dev/skills/lawve-ai-decision-ownership-audit-ignacio-adrian-lerer (last updated 2026-10-24)