s4h-decision-reversibility-analysis

s4h-decision-reversibility-analysis is a skill for Claude Code from human-avatar/skills-for-humanity. It costs 64 tokens per session (1,134 once invoked), scanned A, original, MIT.

A decision guide that classifies choices by how easily they can be undone. Reversible choices need less process, while decisions that are difficult or costly to reverse receive more careful review.

In plain words
What is it for?
Use it to assess whether a choice is a reversible “two-way door” or an effectively permanent “one-way door,” and to decide how much analysis and confirmation it deserves.
Why use it?
It helps avoid overthinking small choices and rushing into commitments that are hard to undo. It also makes the cost of reversing a decision explicit before you commit.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the skills-for-humanity plugin — 197 skills, 1 hook shipped together

Good fit Use it to assess whether a choice is a reversible “two-way door” or an effectively permanent “one-way door,” and to decide how much analysis and confirmation it deserves.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add human-avatar/skills-for-humanity --skill s4h-decision-reversibility-analysis
Clone the repo
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity

Made for: Claude Code.

Or install skills-for-humanity, the plugin that ships this one along with the rest of its 197 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for s4h-decision-reversibility-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis/github.svg)](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis)
Your own site
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for s4h-decision-reversibility-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-decision-reversibility-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,134 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.01134
Opus 5 $0.00032 $0.00567
Sonnet 5 $0.00013 $0.00227
Haiku 4.5 $0.00006 $0.00113

Measured 13d ago against content hash e3001afb842c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

s4h-decision-reversibility-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/s4h-decision-reversibility-analysis/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision Reversibility Analysis

Most people apply the same amount of thinking to every decision. This is wrong in both directions: it produces analysis paralysis on easy reversible choices, and recklessness on decisions that cannot be undone. The right question before deciding is not "what should I choose?" — it is "how much should I invest in choosing?"


Your Process

Step 1: State the Decision Write the decision clearly. Include what is actually being committed to — not the framing, the underlying commitment.

Framing check: Confirm the decision and its underlying commitment before continuing. State what you've identified — the actual decision being assessed and what would be locked in if made — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the decision and its underlying commitment]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different decision than read; incorporate the correction before proceeding

Step 2: Assess Reversal Cost If this decision turns out to be wrong, how expensive is it to undo? Consider: financial cost, time cost, relationship or trust cost, technical debt introduced, market position lost, and optionality foreclosed. Be concrete — not "expensive" but "six months of re-architecture and two broken partnerships."

Step 3: Classify — Type 1 or Type 2

  • Type 1 (one-way door): reversing is very costly or practically impossible. Wrong here means significant, durable damage.
  • Type 2 (two-way door): can be walked back at low cost if wrong. A review point or small experiment can reveal the error before it compounds.

Step 4: Apply the Appropriate Process

  • Type 1: slow down. Consult broadly. Surface dissent. Apply full analytical rigour. Set explicit criteria for what "good" looks like before committing.
  • Type 2: decide quickly. Set a review point. Move. Do not let this consume the time budget of a Type 1 decision.

Read the full file on GitHub · 112 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 112 lines · 64 tokens per session scan A e3001afb842c

Subscribe to this mod's changes

s4h-decision-reversibility-analysis is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 1,134 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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