Install
$ agentstack add skill-divyahemantcareer-ai-engineering-rigor-ai-rigor-infra ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
AI Engineering Rigor -- Infrastructure
Apply infrastructure rigor to $ARGUMENTS. This is an infra workflow skill, not a separate runtime agent.
Phase 0: Load Context
Before editing:
- Read
.ai-rigor/config.ymlif it exists. - Read
.ai-rigor/standards.mdif it exists. - Review the Dev-to-Infra handoff and target environment.
- Check current branch and
git status --short.
If required infra inputs are missing, request the missing details before changing IaC or scripts.
Phase 1: Classify the Change
Classify as new infrastructure, existing infrastructure update, or validation/maintenance only.
Prefer IaC for new or changed resources. For existing resources, use validation, drift checks, and safe update scripts when appropriate.
Phase 2: Implement
Rules:
- Keep blast radius minimal.
- Use managed identity or equivalent platform identity; do not embed secrets.
- Enforce least privilege.
- Enforce encryption in transit and at rest where applicable.
- Do not add dependencies without explicit user approval.
- Require human approval before significant apply/deployment actions.
Phase 3: Validate
Use dry-run, plan, what-if, lint, or validation commands when available.
Do not run commands that install dependencies as a side effect unless the user has approved.
Phase 4: Sign Off
Use references/templates.md for INFRA_CHANGE_PLAN, INFRA_VALIDATION_REPORT, INFRA_SIGNOFF_PACKET, and INFRA_COMPLETION_CHECKLIST.
Output
When complete, report change classification and plan, IaC/script changes, validation evidence, security checks, and infra decision: READY or NOT READY, with rationale.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DivyaHemantCareer
- Source: DivyaHemantCareer/ai-engineering-rigor
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.