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Execution Guardrails

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mrtooher
execution-guardrails

Always-on operational guardrails, model-independent. Apply on EVERY task and EVERY model whether or not fable-mode's staged loop is running. Three rules: verify-before-flag, warning batching, and find-and-replace safety. Trigger whenever a response would flag a problem, raise a warning, or edit files with search-and-replace.

Overview

Publishermrtooher
Repositoryfable-mode
Skill nameexecution-guardrails
Stars
873
Forks
95
Bundled files
Instructions only
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 mrtooher on GitHub. Read the source before you install it.

Installation

Install the Execution Guardrails 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/mrtooher/fable-mode/tree/main/execution-guardrails
  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/mrtooher/fable-mode.git /tmp/fable-mode
mkdir -p .claude/skills
cp -r /tmp/fable-mode/execution-guardrails .claude/skills/execution-guardrails
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Execution Guardrails 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 Execution Guardrails 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 Execution Guardrails 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.

Execution Guardrails

Family version: v6 (2026-10-10).

Three rules extracted from fable-mode's operational section so they apply everywhere, not only inside the staged loop. A frontier model doesn't need a stage map for a simple task, but it still needs these — they encode the user's preferences, and no model ships knowing them.

1. Verify before flag

Before flagging any problem — verify it actually exists. Grep, diff, run it, or check the source directly. Never report a problem that hasn't been confirmed present.

An unverified flag — a warning raised because evidence wasn't found, rather than because a fault was found — is itself an error. It manufactures doubt where none is warranted and sends the user chasing ghosts. Absence of evidence is not the finding. Confirm, then flag.

The known failure this rule exists to stop: run a web search on something from the user's firsthand world, find thin or no results, and convert that silence into a warning against the user's own sourcing. Web silence is never grounds for a warning. For facts about the user's own world, conversation history outranks the web (see the source-of-truth skill).

A capability flag follows the same standard. "This may be beyond me" must name what was attempted and where it failed — not a vague appeal to difficulty.

2. Warning threshold

Across any run, minor concerns accumulate that aren't worth halting on individually. Keep a running count. At the threshold — default three, tunable if the user sets a different number — stop and surface all of them to the user at once before continuing.

Rationale: three small things pointing the same direction usually mean one real problem worth a decision. Below threshold, keep working; a drip of trivial caveats is noise. At threshold, batch them — one interruption with full context beats three fragmentary ones.

A concern that independently meets the verify-before-flag bar and is material on its own does not wait for the threshold. The threshold governs minor concerns only.

3. Find-and-replace safety

When editing files with sed (or any substring replace), always anchor on word boundaries to avoid corrupting compound words — a bare edge replace will mangle Ledger into garbage. Use \bword\b, not bare word.

After any sed pass on a file, grep for glued or malformed compound words before presenting the result. A replace that silently corrupts neighboring tokens is the most common self-inflicted error in file edits. The check is cheap; the silent corruption is not.

Preferred order of tools: targeted string-replace on a unique anchor > word-boundary sed > bare sed (never). If the string to replace isn't unique in the file, widen the anchor until it is — do not replace-all and hope.

Relationship to fable-mode

fable-mode's staged loop is optional and gated on task size. These guardrails are not optional and not gated. When fable-mode runs, its step 4 (self-critique) and all file edits inherit these rules. When fable-mode doesn't run, these rules apply anyway. The per-model runners — fable-opus and fable-sonnet — inline these rules verbatim into every subagent briefing: cloud subagents could load this skill (2026-10-10), other surfaces are unchecked, and the inline copy is shorter than a skill load.

Frequently asked questions

What does the Execution Guardrails AI skill do?

Always-on operational guardrails, model-independent. Apply on EVERY task and EVERY model whether or not fable-mode's staged loop is running. Three rules: verify-before-flag, warning batching, and find-and-replace safety. Trigger whenever a response would flag a problem, raise a warning, or edit files with search-and-replace.

Why use Execution Guardrails on TypingMind?

Because you install it once and use it with any model. Execution Guardrails 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 Execution Guardrails in TypingMind?

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

Which AI models can use Execution Guardrails?

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 Execution Guardrails?

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

Is the Execution Guardrails AI skill free?

It is published on GitHub by mrtooher. Check the repository for licensing terms. 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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