🛡️
QualityPython

Blue Team

by gaasher

Blue Team is a Quality skill for Claude Code, published by gaasher in Agent-Loop-Skills.

166 stars19 forkson gaasher/Agent-Loop-SkillsAdded 2026/09/08+2% in starsRepository updated 2026/06/30
View source on GitHubDownload repo ZIP
agent-skillsagentic-loopsagentic-workflowsai-agentsanthropicautoresearchclaudeclaude-codedata-analysisliterature-reviewllm-agentsmachine-learningml-autoresearchopen-sourceprompt-engineeringred-teamingscientific-writingskillssubagents
Install in seconds
Install Blue Team
Copy Blue Team into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/blue-team ~/.claude/skills/blue-team

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/gaasher/Agent-Loop-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
loops/blue-team/SKILL.md in gaasher/Agent-Loop-Skills
Installs to
~/.claude/skills/blue-team
Collection
One of 25 skills cataloged from this repository
Category
Quality — 1897 skills

What Blue Team does

Blue Team patches a target against a concrete set of failing cases, one root-cause class at a time, while checking that previously passing cases still pass. Use it for red-team failure catalogues or CI test failures when you want the fix loop to stop only when regressions are closed.

Blue Team is cataloged under Quality on DirSkills. Blue Team comes from a repository tagged agent-skills, agentic-loops, agentic-workflows, ai-agents and anthropic.

Documentation

README

Blue Team

A defensive fixer loop — the inverse of red-team. The artifact is the target, now writable; the feedback signal is two-part, like optimize-loop: a gate that must hold (nothing that passed before regresses) and a metric that must drop (the count of open failure classes, toward zero). You point it at a set of concrete failed cases and fix them one root-cause class at a time. Each iteration you patch one class, then run tools/verify.py, and keep the patch only if it closes the class with no regression, else revert. You loop until every class is closed (dry) or the budget runs out, then hand the patch set off as a pull request. This is the fix half of a find→fix setup (see Pairing).

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Blue Team

  • What else does gaasher publish alongside Blue Team?

    Blue Team is one of 25 skills that DirSkills catalogs from gaasher/Agent-Loop-Skills, the repository it ships in. Its siblings there include Alpha Evolve, Anomaly Investigation and Claim Verify Loop. Each one is a separate skill with its own page in this directory, installs the same way Blue Team does, and is maintained by gaasher in that same repository. The rest of the collection is listed on the gaasher/Agent-Loop-Skills page.

  • How does Blue Team compare to other Quality skills?

    Blue Team ranks #1782 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Blue Team against them. Open each page to compare what they document and how they install.

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