Agent skill

Execution Guardrails

by mrtooher in mrtooher/fable-mode

Always-on operational guardrails, model-independent. An agent skill from mrtooher/fable-mode.

No licenceAuto-check passedAI & LLM Engineering

Install Execution Guardrails

skills CLI
$ npx skills add mrtooher/fable-mode --skill execution-guardrails -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mrtooher/fable-mode execution-guardrails --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mrtooher/fable-mode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/execution-guardrails .claude/skills/execution-guardrails && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
execution-guardrails
GitHub stars
870
Token cost
~1k tokens
SKILL.md length
501 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
None found

At a glance

Always-on operational guardrails, model-independent. An agent skill from mrtooher/fable-mode.

  • Works in 3 steps: Verify before flag → Warning threshold → Find-and-replace safety
  • Ever a response would flag a problem
  • SKILL.md covers 1. Verify before flag, 2. Warning threshold, 3. Find-and-replace safety and Relationship to fable-mode
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Execution Guardrails is an agent skill from mrtooher/fable-mode. Always-on operational guardrails, model-independent. Apply on EVERY task and EVERY model (Fable, Opus, Sonnet, Haiku, and any future tier) whether or not fable-mode's staged loop is running. Three rules: (1) verify-before-flag — never raise a warning about a problem that hasn't been confirmed present by a direct check; (2) warning batching — accumulate minor concerns and surface them together at a threshold instead of interrupting piecemeal; (3) find-and-replace safety — word-boundary anchoring on sed/substring…

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering LLM guardrails. The repository describes itself as: A Claude skill that activates Fable-style agentic behavior: explicit multi-stage planning, sub-agent delegation, and self-verification.

When your agent uses it

  • Ever a response would flag a problem
  • Raise a warning
  • Edit files with search-and-replace

Example prompts

  • “/execution-guardrails”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Verify before flag
  2. Warning threshold
  3. Find-and-replace safety

What it can do on your machine

Read from SKILL.md and the folder at commit a368f94. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Execution Guardrails loads about 1k tokens when it runs. Until then it costs about 197 tokens; SKILL.md has 501 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~197
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 501 words (~1,008 tokens).

“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…”

— opening of SKILL.md by mrtooher
name
execution-guardrails

Read the full SKILL.md on GitHub

Files

Just SKILL.md in execution-guardrails of mrtooher/fable-mode.

Open the folder on GitHubat commit a368f94

Compare with similar skills

Execution Guardrails next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Execution Guardrails compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Execution Guardrails this skillmrtooher/fable-mode870—~1kAutomated safety check: PassNone
ObliteratusRedWoodOG/Hermes-Desktop1776 repos~3.8kAutomated safety check: PassMIT
Aisafetyhotwuyoscar/AISafetyHot-Hub175—~1.2kAutomated safety check: PassCustom licence
Lemonade Router Builderamd/skills395—~4kAutomated safety check: PassMIT
Persona Designkangarooking/system-prompt-skills2051 repos~956Automated safety check: PassMIT
Writing Eval Scenariosopen-bias/open-bias143—~1.5kAutomated safety check: PassApache-2.0

Similar skills

  • Obliteratus

    RedWoodOG/Hermes-Desktop

    Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails…

    177 GitHub starsUsed in 6 repos~3.8k tokens
    AI & LLM EngineeringAuto-check passed
  • Aisafetyhot

    wuyoscar/AISafetyHot-Hub

    Read AI Safety HOT daily digests, search recent AI safety research and incidents, and follow current hot topics.

    175 GitHub stars~1.2k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Turns a natural-language description of routing intent into a valid Lemonade collection.router policy JSON.

    395 GitHub stars~4k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Persona Design

    kangarooking/system-prompt-skills

    当需要为 AI 产品定义核心身份、角色声明和能力边界时调用此 skill。典型场景包括:设计新 AI 产品的 system prompt 首段、为不同场景创建差异化角色(如教学助手 vs 编程代理)、重新定义 AI 与用户的关系框架。

    205 GitHub starsUsed in 1 repo~956 tokens
    AI & LLM EngineeringAuto-check passed
  • Writing Eval Scenarios

    open-bias/open-bias

    Guide for writing eval conversation JSONs and running them through policy engines

    143 GitHub stars~1.5k tokensUpdated 4 mo ago
    AI & LLM EngineeringAuto-check passed
  • Wp Project Triage

    gambitph/Stackable

    A skill your agent uses when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a…

    350 GitHub starsUsed in 3 repos~371 tokens
    AI & LLM EngineeringAuto-check passed

More from mrtooher/fable-mode

  • Double Check

    mrtooher/fable-mode

    Automatic final verification pass on completed deliverables.

    870 GitHub stars~1.9k tokensUpdated 1 mo ago
    Auto-check passed
  • Fable Fable

    mrtooher/fable-mode

    Run fable-mode execution discipline on Claude Fable 5.1 — the top of the escalation ladder and the strongest staged run available.

    870 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Fable Mode

    mrtooher/fable-mode

    Enforces staged execution discipline on large tasks: a written stage plan, delegation to named fable agents where the runtime supports it, a failable verification check at each stage, and a…

    870 GitHub stars~1k tokensUpdated 1 mo ago
    Auto-check passed
  • Fable Opus

    mrtooher/fable-mode

    Run fable-mode execution discipline on Claude Opus — one rung below Fable 5.1 on the escalation ladder.

    870 GitHub stars~868 tokensUpdated 1 mo ago
    Auto-check passed
  • Fable Haiku

    mrtooher/fable-mode

    Run fable-mode execution discipline on Claude Haiku. An agent skill from mrtooher/fable-mode.

    870 GitHub stars~565 tokensUpdated 1 mo ago
    Auto-check passed
  • Fable Sonnet

    mrtooher/fable-mode

    Run fable-mode execution discipline on Claude Sonnet. An agent skill from mrtooher/fable-mode.

    870 GitHub stars~531 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Execution Guardrails

What does Execution Guardrails do?

Always-on operational guardrails, model-independent. An agent skill from mrtooher/fable-mode. Execution Guardrails is an agent skill from mrtooher/fable-mode. Always-on operational guardrails, model-independent.

When should I use Execution Guardrails?

Execution Guardrails fits situations like: ever a response would flag a problem; raise a warning; edit files with search-and-replace.

How do I install Execution Guardrails in Claude Code?

Run `npx skills add mrtooher/fable-mode --skill execution-guardrails -a claude-code`. Or copy the skill folder (execution-guardrails in mrtooher/fable-mode) into .claude/skills/execution-guardrails in your project. Claude Code loads it when a task matches its description.

How do I install Execution Guardrails in Codex?

Run `npx skills add mrtooher/fable-mode --skill execution-guardrails -a codex`. Or copy the skill folder (execution-guardrails in mrtooher/fable-mode) into .agents/skills/execution-guardrails in your project. Codex loads it when a task matches its description.

Can I use Execution Guardrails in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mrtooher/fable-mode --skill execution-guardrails -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/execution-guardrails, .gemini/skills/execution-guardrails, .github/skills/execution-guardrails and .opencode/skills/execution-guardrails in your project.

What does Execution Guardrails need to run?

SKILL.md names no scripts, command-line tools or credentials: Execution Guardrails is instructions for the agent only.

Does Execution Guardrails access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Execution Guardrails safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Execution Guardrails use?

No licence was found for Execution Guardrails or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Execution Guardrails use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Execution Guardrails?

Skills that share tags, products or a category with Execution Guardrails: Obliteratus (RedWoodOG/Hermes-Desktop, 177 stars), Aisafetyhot (wuyoscar/AISafetyHot-Hub, 175 stars), Lemonade Router Builder (amd/skills, 395 stars) and Persona Design (kangarooking/system-prompt-skills, 205 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Execution Guardrails?

mrtooher (a GitHub user) maintains it in mrtooher/fable-mode, which has 870 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 2, 2026.

Source: mrtooher/fable-mode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.