agent-evaluation
Skill1 starsChanged 7 months agoNo licenceView on GitHub
Testing and benchmarking LLM agents including behavioral testing,
21 other projects use a version of this, 4 of them edited.
Adopted by
Most recently taken up by
- Azir-11/skill-hubtheir own version, first seen Nov 8, 2026
- fmind/dottheir own version, first seen Nov 8, 2026
- fmind/dotfilestheir own version, first seen Nov 8, 2026
- dzianisv/opencode-pluginstheir own version, first seen Nov 1, 2026
- asmamest/Nexus-Skillstheir own version, first seen Oct 15, 2026
- paulopestanajunior/agents-configtheir own version, first seen Oct 15, 2026
Used with
Projects with it also use tool-design, kubernetes and 5 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.
mjunaidcaSkilltool-design
Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.
Also in 3 projects that use this
mjunaidcaSkillkubernetes
Production-grade Kubernetes manifests and debugging for containerized applications. This skill should be used when users ask to deploy to Kubernetes, create K8s manifests, containerize for K8s, set up Deployments/Services/Jobs/StatefulSets/CronJobs, create namespaces with resource quotas, set up multi-team isolation, configure ResourceQuota/ LimitRange, secure with RBAC (ServiceAccount, Role, RoleBinding), configure init containers (model download, db wait, migrations), set up sidecars (logging, metrics), or debug pods (CrashLoopBackOff, logs, exec, describe, events). Auto-detects from Dockerfile/code, generates hardened manifests with educational comments. CKAD-aligned.
Also in 3 projects that use this
MicrosoftSkillgithub-actions
Use when creating, editing, reviewing, or troubleshooting GitHub Actions workflows in Scope.
Also in 3 projects that use this
mrgoonieSkillcontext-engineering
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Also in 4 projects that use this
wrsmith108Skilldocker
Container-based development for isolated, reproducible environments. Use when running npm commands, installing packages, executing code, or managing project dependencies. Trigger phrases include "npm install", "run the build", "start the server", "install package", or any code execution request.
Also in 3 projects that use this
GoogleSkillcode-review
Adversarial systems, concurrency, memory-model, and architecture code review protocol. Use this skill whenever asked to review code, PRs, diffs, or branches in Filament.
Also in 3 projects that use this
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 4
- xfstudio/skills★ 922% same
- ai4brands-design/claude-skills★ 222% same
- Ghosteken/agent-harness★ 296% same
- Tgoldi/claude-skills★ 022% same
Wrote their own version · 17
- bojieli/ai-agent-book-projects★ 53ksame name
- bojieli/ai-agent-book★ 53ksame name
- microsoft/Building-AI-Agents-From-Zero-To-Production★ 194same name
- alebgl77/claude-inc★ 21same name
- fmind/dot★ 13same name
- fmind/dotfiles★ 13same name
- dzianisv/opencode-plugins★ 11same name
- Azir-11/skill-hub★ 7same name
- nek1987/auto-agent-harness★ 4same name
- MateusKasuya/databricks_claude_code★ 2same name
7 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 repository83 other files it gives its agents.
- skills/frontend/react-best-practices/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agentflowSkill
- agent-memory-systemsSkill
- agent-orchestratorSkill
- agent-tool-builderSkill
- ai-agent-developmentSkill
- ai-agents-architectSkill
- ai-engineerSkill
- brainstormingSkill
- prompt-engineering-patternsSkill
- prompt-engineeringSkill
- api-design-principlesSkill
- api-patternsSkill
- architecture-decision-recordsSkill
- architecture-patternsSkill
- database-designSkill
- database-migrationSkill
- monorepo-architectSkill
- api-documentation-generatorSkill
- api-documentationSkill
- api-documenterSkill
- api-endpoint-builderSkill
- changelog-automationSkill
- email-systemsSkill
- file-uploadsSkill
- clean-codeSkill
- code-refactoring-refactor-cleanSkill
- code-refactoring-tech-debtSkill
- code-reviewerSkill
- code-review-excellenceSkill
- debuggerSkill
- debugging-strategiesSkill
- error-handling-patternsSkill
- nextjs-app-router-patternsSkill
- nextjs-best-practicesSkill
- nextjs-supabase-authSkill
- supabase-automationSkill
- tailwind-design-systemSkill
- tailwind-patternsSkill
- typescript-advanced-typesSkill
- typescript-expertSkill
- vercel-ai-sdk-expertSkill
- vercel-deploymentSkill
- database-adminSkill
- database-cloud-optimization-cost-optimizeSkill
- database-optimizerSkill
- databaseSkill
- deployment-pipeline-designSkill
- deployment-proceduresSkill
- deployment-validation-config-validateSkill
- docker-expertSkill
- git-hooks-automationSkill
- git-pr-workflows-git-workflowSkill
- observability-monitoring-monitor-setupSkill
- pdf-officialSkill
- frontend-designSkill
- frontend-dev-guidelinesSkill
- i18n-localizationSkill
- react-best-practicesSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 17 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.
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.
Now do this for your own.
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.

