Judgment Infrastructure for Human-Led AI

Portable agent skills by Greg Lichtenthal for people who want AI to strengthen human creativity, judgment, and agency.

This catalog is built around judgment infrastructure for human-led AI work: organize messy context, pressure-test the thinking, deliberate consequential decisions, and test ideas before trusting them.

Read the short thesis: Judgment Infrastructure for Human-Led AI

Start with the guided workflow: Start Here

See the full loop in one scenario: Judgment Infrastructure Demo (Markdown source)

Browse practical use cases: Product Strategy · Founder Decisions · Research Synthesis · Career Decisions

Awesome list: awesome-judgment-infrastructure

Install the full suite for Codex

The suite installer downloads the pinned stable release of all four skills into Codex's current user-skills directory:

git clone https://github.com/glichtenthal/agent-skills.git
cd agent-skills
bash install.sh --target codex

Use --dry-run to preview the installation, --update to replace existing copies, or --skill the-quorum to install one skill. AI Project Steward is an optional applied skill, so install it explicitly with bash install.sh --skill ai-project-steward. Run bash install.sh --help for all options.

For ChatGPT or Claude, import each .skill release through the product's Skills settings. The shell installer is for Codex.

Start here

You do not need the full loop every time. Start with the part that matches what you have.

If you have...	Use...	Output
Messy notes, transcripts, research, or context	The Briefing Room	A brief you can think with
A claim, plan, draft, or idea that needs honest critique	Ground Truth	Weak assumptions, missing evidence, and sharper next steps
A consequential decision with real trade-offs	The Quorum	Structured disagreement and a calibrated recommendation
An idea, claim, or decision that needs proof before commitment	Test Drive	The smallest credible test and the signal that would change your mind

Skills

The Briefing Room

Turn messy context into a brief you can think with.

• Install: https://github.com/glichtenthal/briefing-room/releases/download/v1.2.1/briefing-room.skill
• Best for: messy notes, transcripts, research dumps, meeting context, customer feedback, and personal sensemaking.
• Quick demo: https://github.com/glichtenthal/briefing-room/blob/main/examples/quick-demo.md

Ground Truth

Calibrated honesty and anti-sycophancy for plans, decisions, reviews, and ideas.

• Install: https://github.com/glichtenthal/ground-truth/releases/download/v1.2/ground-truth.skill
• Best for: pressure-testing ideas, reviewing work, avoiding easy validation.
• Quick demo: https://github.com/glichtenthal/ground-truth/blob/main/examples/quick-demo.md

The Quorum

A five-member expert council that pressure-tests consequential decisions.

• Install: https://github.com/glichtenthal/the-quorum/releases/download/v1.4.1/the-quorum.skill
• Best for: strategy calls, hiring decisions, build-vs-buy choices, and other consequential trade-offs.
• Quick demo: https://github.com/glichtenthal/the-quorum/blob/main/examples/quick-demo.md

Test Drive

Test an idea before you trust it.

• Install: https://github.com/glichtenthal/test-drive/releases/download/v1.6.1/test-drive.skill
• Best for: testing ideas, messages, prompts, skills, strategies, decisions, and data claims before overcommitting.
• Quick demo: https://github.com/glichtenthal/test-drive/blob/main/examples/quick-demo.md

Compatibility

These skills are designed for Claude and Codex-style agent workflows. Each repository includes its own installation instructions and Codex interface metadata.

How they fit together

• The Briefing Room organizes messy context into a structured brief.
• Ground Truth pressure-tests the brief, claim, plan, or draft.
• The Quorum convenes multiple expert lenses for consequential decisions.
• Test Drive turns ideas, claims, and decisions into small evidence-seeking trials.

Ready to build? AI Project Steward carries the work into implementation.

Applied Judgment Systems

Applied Judgment Systems carry human-led judgment into a specific domain or stage of work. AI Project Steward is the first, focused on moving from an idea or decision into implementation.

AI Project Steward

An active AI collaborator for apps, prototypes, automations, and integrations. It keeps consequential choices visible, preserves approval boundaries, records accepted decisions, and verifies the working result.

• Install: https://github.com/glichtenthal/ai-project-steward/releases/download/v2.0.0/ai-project-steward.skill
• Best for: human-led AI builds where data, cost, security, portability, deployment, or maintenance choices matter.
• Quick demo: https://github.com/glichtenthal/ai-project-steward/blob/main/examples/quick-demo.md