gauntlet-loop
Skill2 starsChanged 12 days agoMITView on GitHub
Improve a product or artifact through repeated construction, independent critique, measured comparison, and regression checks. Use for sustained iteration when a single implementation pass cannot establish the required quality.
20 other projects use a version of this.
Adopted by
Most recently taken up by
- celestialdust/achilles-skillstheir own version, first seen Nov 1, 2026
- mblanc/mb-skillstheir own version, first seen Oct 20, 2026
- harshsinghmp/muse-skillstheir own version, first seen Oct 15, 2026
- sreejithraman/SreeStacktheir own version, first seen Oct 15, 2026
- AVANT-ICONIC/skillstheir own version, first seen Oct 13, 2026
- mauriciovieira/skillstheir own version, first seen Oct 13, 2026
Used with
Projects with it also use codebase-design, research and 3 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
GoogleSkillcodebase-design
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
Also in 3 projects that use this
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 4 projects that use this
MicrosoftSkillhandoff
Compact the current conversation into a handoff document for another agent to pick up.
Also in 5 projects that use this
GoogleSkillgrilling
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
Also in 3 projects that use this
- +1 more from google
Other versions20 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 20
- duolahypercho/gauntlet-loop★ 157same name
- emaraschio/cursor-commands★ 9same name
- sidneyswift/skills★ 9same name
- NicholasSpisak/gauntlet-loop★ 4same name
- protonspy/spec-claude-code★ 4same name
- trilwu/gauntlet-loop-skills★ 3same name
- Kohulan/orthonym-skills★ 2same name
- alexanderpino/skills★ 1same name
- celestialdust/achilles-skills★ 1same name
- emernuness/gauntlet-loop-skill★ 1same name
10 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- aeoSkill
- agent-worktree-orchestrationSkill
- critical-adversarial-reviewSkill
- evidence-driven-debuggingSkill
- git-quality-hooksSkill
- multi-agent-collaborationSkill
- quality-gatesSkill
- source-backed-researchSkill
- spec-to-planSkill
- validated-coding-loopSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Start with a baseline and explicit quality bar.
- Distinctive: line 14
Keep technical correctness, runtime evidence, visual judgment, and user acceptance distinct.
- Distinctive: line 20
Ask an independent critic to compare raw artifacts against the specification.
- Distinctive: line 21
Check for regressions and metric gaming.
- Distinctive: line 22
Keep, revise, or reject the candidate using evidence.
- Distinctive: line 32
Use a round record to preserve the comparison and next hypothesis.
- Distinctive: line 36
Stop when the objective is met, the user stops work, an agreed limit is reached, or an actual blocker prevents meaningful progress.
“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Gauntlet loop
Start with a baseline and explicit quality bar. The builder produces candidates; independent evaluation determines whether the evidence supports keeping them.
Establish the bar
Translate the desired outcome into observable behavior. Record the input, environment, baseline artifact, measurement method, and budgets. Explain where thresholds come from.
Keep technical correctness, runtime evidence, visual judgment, and user acceptance distinct. A green suite establishes only the contracts it exercises.
Run one useful round
- Give a builder a bounded change and ownership of affected files.
- Capture the actual result in the same scenario as the baseline.
- Ask an independent critic to compare raw artifacts against the specification.
- Check for regressions and metric gaming.
- Keep, revise, or reject the candidate using evidence.
Parallel builders need separate worktrees or non-overlapping ownership. Sequence work with dependent outputs. Use the user's selected browser and environment for visual verification; coordinate captures so competing sessions do not distort results.
An expensive result should survive a cheaper diagnostic first. Do not broaden work merely because another iteration is possible.
Decide the next round
Fix regressions before adding polish. Compare the same inputs, viewport, load, revision, and measurement window. Record unavoidable differences.
Use a round record to preserve the comparison and next hypothesis. Retain a failed candidate's useful evidence without mixing its changes into the accepted result.
Continue toward acceptance within the agreed scope and budget. If progress stalls, change the hypothesis or run a discriminating experiment.
Stop when the objective is met, the user stops work, an agreed limit is reached, or an actual blocker prevents meaningful progress. Report missing evidence explicitly.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

