New Checked the same way as MCP servers
Agent Skills, and what they let an agent do
Read straight from each publisher's repository. For every skill: what it allows the agent to do, the scripts it ships, and what fixed checks matched. Nothing is run.
Skills from GitHub12
Clear filters- ai-prompt-engineering-safety-reviewGitHubComprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and …OfficialInstructions only1 high finding
- arize-annotationGitHubCreates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annot…OfficialInstructions only1 high finding
- arize-datasetGitHubCreates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datas…OfficialInstructions only1 high finding
- arize-experimentGitHubCreates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, co…OfficialInstructions only1 high finding
- aws-resource-queryGitHubQuery AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.OfficialInstructions only1 high finding
- aws-well-architected-reviewGitHubPerform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.OfficialInstructions only1 high finding
- az-cost-optimizeGitHubAnalyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.OfficialInstructions only1 high finding
- azure-resource-health-diagnoseGitHubAnalyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.OfficialInstructions only1 high finding
- azure-well-architected-reviewGitHubPerform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.OfficialInstructions only1 high finding
- brag-sheetGitHubTurn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a …OfficialInstructions only1 high finding
- daily-prepGitHubPrepare for tomorrow''s meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTM…OfficialInstructions only1 high finding
- doc-and-modernizeGitHubTwo related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) — use it whenever the user wants to understand, map, docum…OfficialInstructions only1 high finding
Labels come from the skill's own files, read on the date shown: the tools its frontmatter allows and the scripts it ships. They are not a safety rating, and no finding is not a safety guarantee. How skills are checked.