Gauntlet Loop Skill for Muse
Explicit local workflow for large governed AI projects.
- What
- Explicit local workflow for large governed AI projects.
- Cost
- Free
- Needs
- Nothing to sign up for — this skill is fully local and runs offline. The helper scripts use Python 3; most systems have it pre-installed.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
A Muse agent skill that runs large AI projects through an explicit local workflow: start with a user-approved plan and a bounded budget, split work into workstreams, review each piece with an independent critic before accepting it, record durable handoffs, and finish with a final review panel. Nothing is external — no accounts, no API keys, no network. This listing is the odd one out in this batch: a process skill rather than a service connector, kept here for a mix that isn't 100% connectors. Draft: written from the build's SKILL.md, not yet live-tested end-to-end — this listing's unverified status reflects that. No secrets in the repo.
Curated by Skill Harbor — free, open-source build (MIT) by @Israelmusondaayliffe.
Version:
Install
Prerequisites: Nothing to sign up for — this skill is fully local and runs offline. The helper scripts use Python 3; most systems have it pre-installed. No GitHub account needed unless listed here. Install "Gauntlet Loop Skill for Muse" for me. A Muse agent skill that runs large AI projects through an explicit local workflow: approved plan, bounded budget, workstreams, independent critics, durable handoffs, final review panel. Repository: https://github.com/Israelmusondaayliffe/muse-skills/tree/main/skills/gauntlet-loop 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, runs fully offline, no external hosts. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "gauntlet-loop". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. check Python 3 is available for the helper scripts). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a skill?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the skill up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a skill before installing it.