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Reversible Decision Mapper

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install reversible-decision-mapper
Description
Classify a choice by reversibility, downside, delay cost, and information gaps so the user can decide now, run an experiment, gather evidence, or escalate.
README (SKILL.md)

Reversible Decision Mapper

Purpose

Reversible Decision Mapper helps a user stop overthinking by deciding how much analysis a choice deserves. It separates one-way decisions from two-way and sliding-door decisions, then recommends an action mode: decide now, run a small experiment, gather specific evidence, or escalate to an expert or stakeholder.

This is a prompt-only thinking framework. It does not make high-stakes decisions for the user.

Trigger

Use this skill when the user says things like:

  • "I am overthinking this decision."
  • "Is this reversible?"
  • "Should I decide now or gather more information?"
  • "Help me map a one-way versus two-way door decision."
  • "I am stuck choosing between options."
  • "What is the smallest safe experiment?"
  • "How do I stop analysis paralysis?"

Inputs to Request

Ask for enough context to classify the decision:

  1. The decision in one sentence.
  2. Available options and the default if no action is taken.
  3. Deadline or time pressure.
  4. What could go wrong and how severe it would be.
  5. What would be required to reverse or repair the decision.
  6. Information gaps and what evidence would change the user's mind.
  7. Stakeholders affected by the decision.
  8. Whether the domain involves medical, legal, financial, safety, employment, housing, or other high-stakes consequences.

Deliverable

Produce a reversible decision map with:

  • Decision statement.
  • Option list and default path.
  • Reversibility score.
  • Downside severity.
  • Cost of delay.
  • Key information gaps.
  • Door type: one-way, two-way, or sliding-door.
  • Smallest safe experiment or rollback path.
  • Decision deadline and evidence threshold.
  • Recommended action mode: decide now, run experiment, gather evidence, or escalate.
  • Brief rationale and review date.

Workflow

Step 1 - State the Decision Clearly

Rewrite the decision as one sentence using this pattern:

"Should I choose [option] instead of [alternative/default] by [date]?"

If the decision is actually several decisions, split it into separate decisions and map the first one that unlocks progress.

Step 2 - List Options and the Default

List each available option. Include the default if the user does nothing.

For each option, note:

  • Main upside.
  • Main downside.
  • Who is affected.
  • What commitment it creates.
  • What would need to be true for it to be a good choice.

Step 3 - Score the Decision Factors

Use a simple 1 to 5 scale:

  • Reversibility: 1 means easy to undo, 5 means hard or impossible to undo.
  • Downside severity: 1 means minor inconvenience, 5 means severe harm or major loss.
  • Cost of delay: 1 means waiting is cheap, 5 means waiting is costly.
  • Information gap: 1 means enough information exists, 5 means major unknowns remain.
  • Stakeholder impact: 1 means only the user is affected, 5 means many people or vulnerable people are affected.

Explain each score in plain language.

Step 4 - Classify the Door Type

Classify the choice:

  • Two-way door: easy to reverse, low or moderate downside, safe to try quickly.
  • Sliding-door: reversible only within a time window or with a known rollback cost.
  • One-way door: hard to reverse, high downside, or major stakeholder impact.

If any factor is high-stakes, lean toward one-way or sliding-door until proven otherwise.

Step 5 - Find the Smallest Safe Experiment

For two-way and sliding-door decisions, identify a limited test:

  • Trial period.
  • Prototype.
  • Pilot with a small group.
  • Draft before commitment.
  • Temporary schedule change.
  • Small purchase before large purchase.
  • Conversation before contract.
  • Reversible version of the choice.

Name the success metric and stop condition.

Step 6 - Define Rollback or Repair Path

Describe how the user could undo, pause, or repair the decision:

  • What must be preserved to reverse course?
  • What deadline closes the rollback window?
  • What cost would reversal create?
  • Who needs advance notice?
  • What documentation or agreement is needed?

If no credible rollback path exists, mark the decision as high caution.

Step 7 - Set Decision Deadline and Evidence Threshold

Prevent endless analysis by setting:

  • Decision deadline.
  • Evidence needed before the deadline.
  • Evidence that would change the recommendation.
  • What information is nice to have but not necessary.
  • Review date after action.

Step 8 - Choose the Action Mode

Recommend one action mode:

  • Decide now: reversible, low downside, or delay is more costly than error.
  • Run experiment: reversible enough, but evidence would help.
  • Gather evidence: information gap is high and evidence is obtainable before the deadline.
  • Escalate: downside, irreversibility, or stakeholder impact is high enough to need expert or stakeholder review.

Step 9 - Draft the Decision Note

Provide a concise note the user can save:

  • Decision.
  • Chosen action mode.
  • Scores and door type.
  • Rationale.
  • Experiment or rollback path.
  • Deadline.
  • Review date.
  • Next physical action.

Safety Boundary

  • Do not decide for the user in medical, legal, financial, safety-critical, housing, immigration, employment, or other high-stakes domains.
  • Do not pressure the user into irreversible choices.
  • If downside severity, irreversibility, or stakeholder impact is high, recommend qualified advice or stakeholder review.
  • Treat uncertainty honestly. Do not convert missing information into confidence.
  • If the user describes danger, coercion, self-harm risk, abuse, or urgent legal exposure, prioritize immediate human, professional, or emergency support.

Acceptance Criteria

A successful run includes:

  1. The decision is rewritten in one clear sentence.
  2. Options and the default path are listed.
  3. Reversibility, downside, delay cost, information gap, and stakeholder impact are scored.
  4. The decision is classified as one-way, two-way, or sliding-door.
  5. A smallest safe experiment or rollback path is identified when appropriate.
  6. A decision deadline and evidence threshold are set.
  7. The recommendation uses one of four action modes.
  8. High-stakes decisions are escalated rather than decided by the skill.
Usage Guidance
This appears safe to install as a prompt-only thinking aid. Use it for structuring decisions, but follow its own warning: for medical, legal, financial, safety, housing, immigration, employment, abuse, coercion, or self-harm situations, involve qualified human help rather than relying on the skill.
Capability Analysis
Type: OpenClaw Skill Name: reversible-decision-mapper Version: 1.0.0 The 'Reversible Decision Mapper' is a prompt-only skill designed to provide a decision-making framework for users. It contains no executable code, requires no external network access, and does not request sensitive credentials. The instructions in SKILL.md and skill.json are strictly focused on logical analysis and include explicit safety boundaries for high-stakes domains (medical, legal, financial).
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The skill's stated purpose matches the visible prompt content: it helps classify decisions by reversibility, downside, delay cost, and information gaps. It explicitly says it does not make high-stakes decisions for the user.
Instruction Scope
Instructions are scoped to asking for context, scoring decision factors, suggesting experiments or evidence-gathering, and escalating high-stakes cases to qualified humans or stakeholders.
Install Mechanism
There is no install spec, no required binaries, no environment variables, and no executable code. The metadata declares promptOnly, noExecution, noExternalNetwork, and noCredentials.
Credentials
The skill does not request system, file, API, credential, or network access. It only relies on user-provided decision context.
Persistence & Privilege
No persistence, background behavior, privilege escalation, memory storage, or account mutation is shown in the supplied artifacts.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install reversible-decision-mapper
  3. After installation, invoke the skill by name or use /reversible-decision-mapper
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Reversible Decision Mapper v1.0.0 - Initial release introducing a structured framework for classifying and mapping decisions. - Guides users to clarify decisions, score factors such as reversibility and downside, and identify appropriate next steps. - Distinguishes between one-way, two-way, and sliding-door decisions for tailored recommendations. - Includes prompts for gathering key context and scoring decision factors. - Recommends one of four action modes: decide now, run an experiment, gather evidence, or escalate. - Built-in safety boundaries prevent misuse in high-stakes situations and ensure responsible guidance.
Metadata
Slug reversible-decision-mapper
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Reversible Decision Mapper?

Classify a choice by reversibility, downside, delay cost, and information gaps so the user can decide now, run an experiment, gather evidence, or escalate. It is an AI Agent Skill for Claude Code / OpenClaw, with 9 downloads so far.

How do I install Reversible Decision Mapper?

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

Is Reversible Decision Mapper free?

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

Which platforms does Reversible Decision Mapper support?

Reversible Decision Mapper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Reversible Decision Mapper?

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

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