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Config Validator — Multi-Cloud Enterprise Automation · lloydchang | DecimalAI

devopsby lloydchang

Config Validator — Multi-Cloud Enterprise Automation

lloydchang/validate-config

Source lloydchang/agentic-reconciliation-engine ↗License AGPL-3.0

Validates infrastructure configurations against best practices and compliance requirements.

SkillScore96Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 20 of 21 test cases with the skill, and 11 of 21 without it.

Without skill52%

With skill96%

Checks it passed that the model alone missed

The response sets targetResource to iam-policy-set-v2.
The response specifies all as the default cloudProvider.
The response specifies production as the default environment.

and 11 more in the full report

10 fixed12 passed either way1 still failing0 broke

Pass-rate lift: +43 pp
Tokens: +11%
Agent turns: 0%
Response time: -51%

Model gemini-3.6-flashMeasured 8/4/2026v122 of 23 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lloydchang-validate-config/SKILL.md https://app.decimal.ai/s/lloydchang-validate-config/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-validate-config, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lloydchang-validate-config/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-validate-config

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/lloydchang-validate-config/SKILL.md https://app.decimal.ai/s/lloydchang-validate-config/SKILL.md

Raw file: /s/lloydchang-validate-config/SKILL.md ↗ · machine-readable summary at /s/lloydchang-validate-config.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

A user triggers a config validation operation for resource `app-gateway-v1` without specifying an environment parameter. Which environment is selected by default?

What was checked, without and with the skill
Checked	Without skill	With skill
The response specifies production as the default environment.	Missed	Passed

case-09 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md77 linessingle file

Config Validator — Multi-Cloud Enterprise Automation

Purpose

Enterprise-grade automation solution for config validator operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.

When to Use

config validator operations across multi-cloud environments
Automation and optimization of config validator workflows
Monitoring and management of config validator resources
Compliance and governance for config validator 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

Track record

Benchmark

20 / 21

test cases passed, vs 11 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

lloydchang / agentic-reconciliation-engine

core/ai/skills/validate-config/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1

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See it in action

What's inside

Config Validator — Multi-Cloud Enterprise Automation

Purpose

When to Use

Inputs

Process

Outputs

Environment

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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