Agent skill

Gauntlet Loop

by DanMcInerney in DanMcInerney/orchflows

Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours reaches the bar or the caller stops.

MITAuto-check passedGame Development

Install Gauntlet Loop

skills CLI
$ npx skills add DanMcInerney/orchflows --skill gauntlet-loop -a claude-code

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

GitHub CLI
$ gh skill install DanMcInerney/orchflows gauntlet-loop --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/DanMcInerney/orchflows.git skills-src && mkdir -p .claude/skills && cp -r skills-src/example-workflows/gauntlet-loop/skills/gauntlet-loop .claude/skills/gauntlet-loop && 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
gauntlet-loop
GitHub stars
117
Token cost
~1.2k tokens
SKILL.md length
696 words
Files
2
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours reaches the bar or the caller stops.

  • Works in 3 steps: Build. A builder makes or revises the… → Judge. Freeze the piece and apply… → Close the gap or confirm. When ours…
  • Game Development work in your project
  • SKILL.md covers Set the bar, Split the work, Run each piece through the… and Smooth clashing pieces, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Gauntlet Loop is an agent skill from DanMcInerney/orchflows. Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours reaches the bar or the caller stops.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Game Development. The repository describes itself as: 2 skills, composable into workflows, which can then be built into more complex workflows. The licence is MIT.

When your agent uses it

  • Game Development work in your project

Example prompts

  • “/gauntlet-loop”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Build. A builder makes or revises the piece from the goal, its slice of the bar, the latest gap and applicable guidance, and may study the…
  2. Judge. Freeze the piece and apply shared:compare-candidates to ours and its reference. Supply the goal, bar, caller constraints and the…
  3. Close the gap or confirm. When ours falls short, map the gap back to ours; the next round starts from it. When ours reaches the bar…

What it can do on your machine

Read from SKILL.md and the folder at commit 8d16eb3. 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

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Gauntlet Loop loads about 1.2k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 696 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

The full file from DanMcInerney/orchflows at commit 8d16eb3, republished under its MIT licence (© DanMcInerney). 696 words, ~1,162 tokens.

Download SKILL.mdSave it as .claude/skills/gauntlet-loop/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
gauntlet-loop
description
Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours reaches the bar or the caller stops.
disable-model-invocation
true

Apply library context as the coordinator (the lead). Inputs: goal, optional bar or candidate references, workspace and output location, optional caller bounds (time, cost, rounds) and scoped settings. Treat the goal as the destination: choose the architecture, pieces and order, adding no scope the caller did not ask for.

Set the bar

The bar is a named, inspectable thing that ours can sit beside and lose to: reference artifacts for subjective quality, or tests, measurements and reference implementations for engineering. Use a supplied bar. Otherwise find the concrete comparison that plays the role real Call of Duty screenshots played for Claude of Duty; "better", "production-ready" or a self-written rubric is not a bar. The bar need not be reachable. Gather the reference material into the output location, record the bar with one sentence on why it fits, and continue without a permission round unless the caller asked to approve it.

Reaching the bar means beating a reference, or matching a threshold bar such as a test suite, a target or an explicit "as good as".

Split the work

Divide the goal into the smallest pieces that can be improved and judged separately, each mapped to the part of the bar it must reach. A piece the bar does not cover, such as sound when the bar is screenshots, gets its own bar. Keep coupled parts together where judging them apart would mislead. Run independent pieces concurrently within host limits; give shared files one owner. Add, merge or split pieces as the artifact teaches you.

Run each piece through the gauntlet

A round is one build and its judgment for one piece. Record it before the build starts; consumed rounds carry through smoothing, splits and merges. Caller round bounds apply per piece unless the caller says otherwise.

  1. Build. A builder makes or revises the piece from the goal, its slice of the bar, the latest gap and applicable guidance, and may study the bar. Continue a builder across rounds or replace it as useful.
  2. Judge. Freeze the piece and apply shared:compare-candidates to ours and its reference. Supply the goal, bar, caller constraints and the actual output to inspect: rendered, run, played or read. Never supply the builder's history, reasoning or summary. Blind the pair where possible, with anonymous labels and randomized order; for measurement bars the critic runs the measurement. Ask for the better side and the largest gap.
  3. Close the gap or confirm. When ours falls short, map the gap back to ours; the next round starts from it. When ours reaches the bar, confirm the win where one verdict could reflect bias or noise, with another shared:compare-candidates call by a fresh critic, without the first verdict: reversed order for judged comparisons, a matched re-run for noisy measurements. Disagreement is a loss; any other win stands confirmed.

There is no fixed number of rounds. A piece that stops improving changes approach and shows the stall on the progress page; stalling is not completion.

Show full SKILL.md (200 more words)Show less

Smooth clashing pieces

When separately improved pieces start to clash, have one fresh maker, with the builders' guidance, inspect the whole result and reconcile conflicts without redesigning it. Pieces it changes lose their confirmations and re-enter the gauntlet.

Show progress

Maintain a live progress page in the output location, HTML or Markdown, showing the bar and each piece evolving: renders, drafts, test results, verdicts, stalls and remaining gaps, in whatever form suits the work. Update it as work lands so the caller can watch without interrupting. It and the run records must let a later session resume without redoing judged rounds.

Stop and return

Stop when every piece holds a confirmation for its current state, the caller stops the run, a caller bound is reached or every remaining piece is blocked. Missing rendering, inspection or independent review blocks the pieces that need it; builder claims never stand in for a critic's view of the output.

Return the artifact, the bar and why it was chosen, each piece's final verdict and largest remaining gap, rounds and observed cost, smoothing passes, the stop reason and the progress page. A run stopped while ours still falls short is an ordinary result; say where.

© DanMcInerney, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in example-workflows/gauntlet-loop/skills/gauntlet-loop of DanMcInerney/orchflows.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 8d16eb3

Compare with similar skills

Gauntlet Loop 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.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gauntlet Loop this skillDanMcInerney/orchflows117—~1.2kAutomated safety check: PassMIT
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Web CloneJane-xiaoer/claude-skill-web-clone1k1 repos~2.7kAutomated safety check: PassMIT
Threejs Game Directormajidmanzarpour/threejs-game-skills2.4k—~2.2kAutomated safety check: PassMIT
Game Asset Generatorhtdt/godogen7.1k—~2.8kAutomated safety check: PassMIT
Threejs Gameplay Systemsvalkor-ai/loom1.2k1 repos~1.4kAutomated safety check: PassApache-2.0

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Questions about Gauntlet Loop

What does Gauntlet Loop do?

Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours reaches the bar or the caller stops. Gauntlet Loop is an agent skill from DanMcInerney/orchflows. Drive an ambitious goal past a real-world quality bar by splitting it into pieces, each looped through a builder and a fresh, harsh, blind critic until ours reaches the bar or the caller stops.

When should I use Gauntlet Loop?

Gauntlet Loop fits situations like: game Development work in your project.

How do I install Gauntlet Loop in Claude Code?

Run `npx skills add DanMcInerney/orchflows --skill gauntlet-loop -a claude-code`. Or copy the skill folder (example-workflows/gauntlet-loop/skills/gauntlet-loop in DanMcInerney/orchflows) into .claude/skills/gauntlet-loop in your project. Claude Code loads it when a task matches its description.

How do I install Gauntlet Loop in Codex?

Run `npx skills add DanMcInerney/orchflows --skill gauntlet-loop -a codex`. Or copy the skill folder (example-workflows/gauntlet-loop/skills/gauntlet-loop in DanMcInerney/orchflows) into .agents/skills/gauntlet-loop in your project. Codex loads it when a task matches its description.

Can I use Gauntlet Loop 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 DanMcInerney/orchflows --skill gauntlet-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gauntlet-loop, .gemini/skills/gauntlet-loop, .github/skills/gauntlet-loop and .opencode/skills/gauntlet-loop in your project.

What does Gauntlet Loop need to run?

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

Does Gauntlet Loop access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Gauntlet Loop 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 Gauntlet Loop use?

Gauntlet Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gauntlet Loop use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Gauntlet Loop?

Skills that share tags, products or a category with Gauntlet Loop: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Threejs Game Director (majidmanzarpour/threejs-game-skills, 2.4k stars) and Game Asset Generator (htdt/godogen, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gauntlet Loop?

DanMcInerney (a GitHub user) maintains it in DanMcInerney/orchflows, which has 117 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 4, 2026.

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