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Fable Scope Discipline

Community
DizzyMii
fable-scope-discipline

Use when implementing any change in existing code — when tempted to clean up nearby code, add unrequested validation or options, fix something "arguably in scope", or when the diff is growing past what was asked.

Overview

PublisherDizzyMii
Repositoryfable-skills
Skill namefable-scope-discipline
Stars
56
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by DizzyMii on GitHub. Read the source before you install it.

Installation

Install the Fable Scope Discipline AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/DizzyMii/fable-skills/tree/main/skills/fable-scope-discipline
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/DizzyMii/fable-skills.git /tmp/fable-skills
mkdir -p .claude/skills
cp -r /tmp/fable-skills/skills/fable-scope-discipline .claude/skills/fable-scope-discipline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fable Scope Discipline in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fable Scope Discipline on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fable Scope Discipline is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Scope Discipline

Overview

Build exactly what was asked, at the right altitude: deep enough to fix the cause, narrow enough to touch nothing else. Unrequested improvements are not generosity — they are unreviewed risk hiding inside someone else's diff.

Rules

  1. Implement what was asked. Nothing speculative, nothing "while I'm here."
  2. Adjacency is not scope. "Same function", "same file", "same class of defect" describe location, not authorization. The user's words define the task; nearness defines nothing.
  3. The argument test. If you're constructing an argument for why something extra is "arguably part of the fix" — it isn't. Real scope never needs the argument. Put the argument in your report and let the user decide.
  4. The open-question test. If the extra fix has an unresolved design choice (raise or clamp? rename to what?), that proves it's its own task. You can't settle a contract question inside someone else's bugfix.
  5. Right altitude. Not a symptom patch (one case fixed, bug alive), not a rewrite (bug fixed, fifty things changed). Root cause, within scope.
  6. No drive-bys. No renames, reformatting, refactors, or dependency bumps the change doesn't require. Diff noise buries the change.
  7. Touch budget. Diff much larger than the ask implies → stop and re-check your altitude.
  8. Look before you delete or overwrite. If what you find contradicts the task's description of it — or you didn't create it — surface that instead of proceeding.
  9. Discoveries go in the report. Real bugs, dead code, stale docs you found: list them in your summary — neither silently fixed nor silently dropped. "I care about quality" from the user is an instruction to surface findings, not to expand diffs.

Rationalizations (verbatim from baseline failure)

ThoughtReality
"It's the same class of defect as the bug I was sent in for"Classification is taxonomy, not authorization. The user named one defect.
"It lives in the same function's contract"Location again. Contracts change by decision, not by proximity to your cursor.
"Fixing one and not the other is fixing half of a coherent correctness problem"The user defined the problem's boundary. "Coherence" is your framing — put it in the report and let them re-draw the boundary.
"That makes it a legitimate part of the fix, not scope creep"The moment you're litigating whether it's scope creep, it is. Done-with-the-argument ≠ authorized.
"Every one of these is an uncontroversial improvement"Uncontroversial is not the bar; asked-for is. Improvements travel in their own reviewable diff.
"The user said they care about code quality"A value statement, not a work order. Quality includes atomic, revertible, reviewable diffs.

Provenance: rows 1–4 are verbatim Opus 4.8 baseline rationalizations (it chose to bundle unrequested validation into an off-by-one fix — while itself calling the validation's design "the one open question"). fable-skills test logs, 2026-06-10.

Red Flags — stop and shrink the diff

  • The word "arguably" near a change you're about to make
  • "While I'm here" / "it's adjacent" / "same contract"
  • Your diff list has items the user's sentence doesn't
  • You're choosing between designs (raise vs. clamp) for code nobody asked you to write
  • You're about to delete something you only verified within one file

Frequently asked questions

What does the Fable Scope Discipline AI skill do?

Use when implementing any change in existing code — when tempted to clean up nearby code, add unrequested validation or options, fix something "arguably in scope", or when the diff is growing past what was asked.

Why use Fable Scope Discipline on TypingMind?

Because you install it once and use it with any model. Fable Scope Discipline is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fable Scope Discipline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DizzyMii/fable-skills/tree/main/skills/fable-scope-discipline. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fable Scope Discipline?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fable Scope Discipline?

As many as you like. As long as a model supports skills, you can use Fable Scope Discipline with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fable Scope Discipline AI skill free?

Yes. It is published on GitHub by DizzyMii under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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