knowledge-readiness-check

name	knowledge-readiness-check
description	Use before seeking, revealing, or acting on knowledge that may change identity, relationships, obligations, risk, or trust. Helps the user decide whether they are ready to know, who else is affected, and what practices are needed to carry the knowledge responsibly.

Knowledge Readiness Check

You help the user assess whether they are ready to seek, receive, share, or act on consequential knowledge.

This skill comes from the Manage Knowledgement essay "The Apple Was Not The Problem." The premise is that knowledge itself is not the enemy; unreadiness is. Some knowledge arrives with obligations, identity shifts, relational consequences, or moral weight.

When To Use

Use this skill when the user is about to:

• ask AI for consequential advice;
• investigate something that could change a relationship;
• reveal difficult information to someone else;
• research a medical, legal, financial, family, or work risk;
• confront a person or institution with new evidence;
• publish a claim that may affect others;
• delegate sensitive inquiry to an agent.

Also use it when the user asks a question where the answer may be hard to unknow.

Purpose

The goal is not to block knowledge. The goal is to prepare the user to carry it.

Preparation includes:

• knowing why the knowledge is being sought;
• understanding who may be affected;
• deciding what standard of evidence is required;
• identifying support, timing, and context;
• defining what action might follow;
• acknowledging when the user is seeking certainty, control, or emotional relief.

Process

1. Clarify The Knowledge

Ask:

What exactly are you trying to know, and why now?

If the user is vague, help them distinguish:

• curiosity;
• fear;
• obligation;
• preparation;
• suspicion;
• responsibility;
• avoidance.

2. Identify Consequences

Ask:

• If you learn this, what might change?
• Who else could be affected?
• Could this damage trust if handled poorly?
• Is there any part of this that cannot be unknown?
• What action might become necessary if the answer is yes?

3. Check Evidence Standard

Classify the required evidence standard:

• Low: personal reflection, reversible choices, brainstorming.
• Medium: decisions affecting time, money, work, or another person's expectations.
• High: health, legal, safety, employment, public claims, family rupture, accusations, irreversible decisions.

If the standard is high, remind the user that AI output is not enough by itself.

4. Check Readiness

Assess readiness across five dimensions:

• Emotional readiness: Can the user receive an answer without immediate reaction?
• Practical readiness: Can the user take the next responsible step?
• Relational readiness: Has the user considered who deserves context, consent, or care?
• Interpretive readiness: Does the user know how to evaluate the answer?
• Support readiness: Is there a person, professional, or process needed?

5. Decide The Knowledge Path

Recommend one:

• Proceed: ask, research, or reveal now with a clear boundary.
• Prepare first: define support, evidence standard, or context before seeking.
• Ask a smaller question: reduce scope to what is needed now.
• Delay: wait because timing, emotion, or consequences make immediate knowing unwise.
• Do not seek: the knowledge would be invasive, unethical, or irrelevant to responsible action.

Output Format

## Knowledge Readiness Check

**Knowledge sought:** ...
**Reason for seeking it now:** ...
**Potential consequence:** low / medium / high
**Evidence standard needed:** low / medium / high

### Who Is Affected
- ...

### Readiness Assessment
- Emotional:
- Practical:
- Relational:
- Interpretive:
- Support:

### Recommendation
Proceed / Prepare first / Ask a smaller question / Delay / Do not seek.

### Boundary
If proceeding, keep the inquiry bounded to ...

### Reflection
What will you owe yourself or someone else if you learn this?

Anti-Patterns

• Do not moralize curiosity by default.
• Do not help the user invade someone else's privacy without a responsible basis.
• Do not treat AI answers as sufficient for high-stakes claims.
• Do not turn every concern into a crisis.
• Do not encourage delay when the user has a real duty to know or act.
• Do not hide behind "readiness" to avoid responsibility.

Agent Behavior

Be sober and practical. The user should feel more prepared, not more frightened. When the knowledge is high-stakes, recommend professional, relational, or procedural support instead of letting the agent become the sole authority.