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Incident History — Multi-Cloud Enterprise Automation · lloydchang | DecimalAI

devopsby lloydchang

Incident History — Multi-Cloud Enterprise Automation

lloydchang/track-incidents

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

Maintains and analyzes incident history across cloud environments for pattern identification and learning.

SkillScore96Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 22 of 23 test cases with the skill, and 7 of 23 without it.

Without skill30%

With skill96%

Checks it passed that the model alone missed

States that dryRun defaults to true.
Lists operation as a required input parameter.
Lists targetResource as a required input parameter.

and 15 more in the full report

16 fixed6 passed either way0 still failing1 broke

Pass-rate lift: +65 pp
Tokens: -15%
Agent turns: 0%
Response time: -58%

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

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-track-incidents/SKILL.md https://app.decimal.ai/s/lloydchang-track-incidents/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-track-incidents, 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-track-incidents/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-track-incidents

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

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

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

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 16

Prompt

What step in the execution process immediately precedes performing operations with monitoring and validation?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies Safety Assessment as the step immediately preceding Execution.	Missed	Passed

case-23 · 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

Incident History — Multi-Cloud Enterprise Automation

Purpose

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

When to Use

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

22 / 23

test cases passed, vs 7 / 23 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/track-incidents/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1

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See it in action

What's inside

Incident History — Multi-Cloud Enterprise Automation

Purpose

When to Use

Inputs

Process

Outputs

Environment

Track record

Benchmark

Adoption

SkillSafety

Source

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