Overview Benchmark Contents Activity Versions 1 Ratings 0
See it in action One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt When invoking the dependency verification workflow without setting an environment parameter, which target environment tier is assumed by default?
What was checked, without and with the skill Checked Without skill With skill The response states that environment defaults to production. Missed Passed
Show both answers
What's inside The instructions your model reads when the skill loads.
SKILL.md 77 lines single file
Dependency Checker — Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for dependency checker operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
dependency checker operations across multi-cloud environments
Automation and optimization of dependency checker workflows
Monitoring and management of dependency checker resources
Compliance and governance for dependency checker 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 environments
Input Validation : Comprehensive parameter validation and security checks
Multi-Cloud Context Analysis : Analyze current state across all providers
Operation Planning : Generate optimized execution plan
Safety Assessment : Risk analysis and impact evaluation across providers
Execution : Perform operations with monitoring and validation
Results Analysis : Process results and generate reports
Outputs
Operation Results : Detailed execution results and status per provider
Compliance Reports : Validation and compliance status across environments
Performance Metrics : Operation performance and efficiency metrics by provider
Recommendations : Optimization suggestions and next steps
Audit Trail : Complete operation history for compliance across all providers
Environment
AWS : EKS, EC2, Lambda, CloudWatch, IAM, S3
Azure : AKS, VMs, Functions, Monitor, Azure AD
GCP : GKE, Compute Engine, Cloud Functions, Cloud Monitoring
On-Premise : Kubernetes clusters, VMware, OpenStack, Prometheus
When it activates Automatically, when a task matches.
Use when managing dependencies, ensuring security, or preventing supply chain issues.
Track record Benchmark 20 / 22
test cases passed, vs 10 / 22 without
Adoption
Users 0
Times used 0 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/check-dependencies/SKILL.md
View on GitHub ↗ License AGPLv3Imported 8/1/2026Version v1