Overview Benchmark Contents Activity Versions 1 Ratings 0
See it in action One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt Specify the minimum runtime environment version required to execute the catalog automation scripts.
What was checked, without and with the skill Checked Without skill With skill States Python 3.8+ as the core execution runtime requirement.
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What's inside The instructions your model reads when the skill loads.
SKILL.md 77 lines single file
Analyze Backstage Catalog — Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for backstage catalog operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
backstage catalog operations across multi-cloud environmentsAutomation and optimization of backstage catalog workflowsMonitoring and management of backstage catalog resourcesCompliance and governance for backstage catalog activities
Inputs
operation : Operation type (required)targetResource : Target resource identifier (required)cloudProvider : Cloud provider - aws|azure|gcp|onprem|all (optional, default: all)parameters : Operation-specific parameters (optional)environment : Target environment (optional, default: production)dryRun : Dry run mode (optional, default: true)
Process
Cloud Provider Detection : Identify target cloud providers and environmentsInput Validation : Comprehensive parameter validation and security checksMulti-Cloud Context Analysis : Analyze current state across all providersOperation Planning : Generate optimized execution planSafety Assessment : Risk analysis and impact evaluation across providersExecution : Perform operations with monitoring and validationResults Analysis : Process results and generate reports
Outputs
Operation Results : Detailed execution results and status per providerCompliance Reports : Validation and compliance status across environmentsPerformance Metrics : Operation performance and efficiency metrics by providerRecommendations : Optimization suggestions and next stepsAudit Trail : Complete operation history for compliance across all providers
Environment
AWS : EKS, EC2, Lambda, CloudWatch, IAM, S3Azure : AKS, VMs, Functions, Monitor, Azure ADGCP : GKE, Compute Engine, Cloud Functions, Cloud MonitoringOn-Premise : Kubernetes clusters, VMware, OpenStack, Prometheus When it activates Automatically, when a task matches.
Use when implementing service catalogs, managing software assets, or organizing service information.
Track record Benchmark 20 / 22
test cases passed, vs 6 / 22 without
Adoption
Users 3
Times used 74 View activity → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported lloydchang / agentic-reconciliation-engine
core/ai/skills/analyze-backstage-catalog/SKILL.md
View on GitHub ↗ License AGPLv3Imported 8/1/2026Version v1