mindit-consequence

mindit-consequence is a skill for Claude Code, Codex from Dragoon0x/usemindit. It costs 124 tokens per session (1,165 once invoked), scanned A, original, MIT.

A design-review skill that examines what a choice makes possible or impossible later, including effects on data, reversibility, and future architecture.

In plain words
What is it for?
Use it to assess side effects, stored or exposed data, irreversible actions, and choices that could limit future product changes.
Why use it?
It helps reveal long-term consequences that may be hidden behind defaults, destructive actions, consent choices, or data-model decisions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess side effects, stored or exposed data, irreversible actions, and choices that could limit future product changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dragoon0x/usemindit/mindit-consequence
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 Dragoon0x/usemindit --skill mindit-consequence
Clone the repo
git clone --depth 1 https://github.com/Dragoon0x/usemindit

Made for: Claude Code, Codex.

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 mindit-consequence

README.md
[![agentmods](https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-consequence/github.svg)](https://agentmods.dev/skills/dragoon0x/usemindit/mindit-consequence)
Your own site
<a href="https://agentmods.dev/skills/dragoon0x/usemindit/mindit-consequence"><img src="https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-consequence/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 mindit-consequence

Your own site · 80×15
<a href="https://agentmods.dev/skills/dragoon0x/usemindit/mindit-consequence"><img src="https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-consequence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,165 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.
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 $0.00124 $0.01165
Opus 5.5 $0.00050 $0.00466
Sonnet 5.5 $0.00025 $0.00233
Haiku 4.5 $0.00012 $0.00117

Measured 2mo ago against content hash e85b5a206594, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mindit-consequence 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 2mo 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/mindit-consequence/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mindit-consequence

The fourth of the eight forces. Run this when the question is "what does this foreclose, and what does it open."

The force

Every design decision opens some doors and closes others. Some closures are visible: a destructive delete button removes data. Most closures are invisible: a choice of data model now means a redesign in six months. A default that nudges 70 percent of users one direction shapes the company's product strategy. A consent flow written today defines what the company can do with user data forever.

Consequence asks: of the doors this design closes, which ones did the team know they were closing?

When to run this

  • The user is about to ship a destructive flow (deletion, cancellation, payment, account changes).
  • The user is choosing a default (default sort order, default privacy setting, default plan).
  • The user mentions data: what gets stored, what gets exposed, who can see it, how long it is kept.
  • The user uses words like "irreversible," "side effect," "knock-on," "future," "blocks us from," or "locks us in."
  • The user is choosing between two architectures or two information models and asks for a review.

How to analyze

  1. Surface the action. What does this design do? What does it cause to happen, both immediately and downstream? Write it out plainly.

  2. Walk the five dimensions. For each criterion below, ask: what is this design closing or opening on this axis?

  3. Look for invisible closures. Most consequence failures are not in the obvious "delete account" button. They are in defaults, in data models, in what the design assumes the next feature can do.

  4. Surface unmade decisions. "What happens if the user changes their mind in three months" is often unmade. Surface it. Do not invent the answer.

  5. Check anti-patterns.yaml.

  6. Write the artifact.

Rubric

Criterion Weight What you are scoring
Reversibility 0.20 Can the user undo what this design lets them do? Within what time window? With what cost?
Path foreclosure 0.20 Does this design make other user paths harder, slower, or impossible? (Often by adding friction to one path or removing it entirely.)
Data implications 0.20 What gets stored as a result of this design? Who can see it? How is it deleted? Is the answer to all three known?
Future-design lock-in 0.20 Does this design constrain what the team can do in the next version? (Information architecture, naming, defaults, data shape.)
Second-order effects 0.20 What knock-on effects on adjacent features, the support team, the data team, or other surfaces?

Read the full file on GitHub · 78 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 78 lines · 124 tokens per session scan A e85b5a206594

Subscribe to this mod's changes

mindit-consequence is a skill published in the GitHub repository Dragoon0x/usemindit (2 stars, last pushed 6mo ago), licensed MIT. It adds 124 tokens to every session and 1,165 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.

Related

mindit-consequence compared with skills from other repositories

mindit-consequence next to 6 skills from other repositories
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