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Tf Best Practices

AWSOfficialPublished by AWS

  • Skill
  • Tool integration
  • Cloud and DevOps
  • Apache-2.0
  • Low risk
  • Has scripts

From the author

Best-practice authoring guidance AND a read-only policy gate for AWS Terraform generated by a migration skill. Load during any phase that writes a terraform/ directory — first as the "what to emit" posture rules + security-baseline spec, then after writing as the deterministic policy verdict. Read-only: it reports whether the generated Terraform passes; it never edits .tf files, never touches .phase-status.json, and never decides phase completion. Complements (does not replace) terraform fmt/init/validate.
— the description by AWS

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

tf-best-practices provides a structured approach to authoring and validating AWS Terraform code. It functions as a two-part system: an authoring guide that defines security posture rules before code generation, and a read-only policy gate that evaluates generated Terraform against those rules after it is written. The skill is designed to be integrated into migration workflows, providing deterministic verdicts and actionable fix hints without modifying the underlying files.

What it does

  • Provides security posture rules for authoring AWS Terraform.
  • Executes a read-only policy check on generated Terraform directories.
  • Generates machine-readable JSON reports detailing policy violations.
  • Offers specific fix hints for identified infrastructure issues.
  • Validates migration artifacts including database and deployment configurations.
  • Supports a multi-stage validation protocol including fmt, init, and validate.

When to use it

  • Before writing Terraform code to ensure adherence to security posture rules.
  • After generating Terraform to verify compliance with defined policy gates.
  • When integrating automated validation into a migration workflow.
  • To identify and remediate infrastructure configuration issues during development.

Advantages

  • Enforces consistent security standards across generated infrastructure.
  • Provides actionable feedback with file and line-specific remediation hints.
  • Operates as a read-only tool that does not modify user files.
  • Functions without requiring provider downloads or active registry connections.
  • Integrates into existing migration pipelines as a deterministic gate.

Usage examples

“Check the generated terraform/ directory for policy violations.”
The skill runs the policy checker against the specified directory and returns a JSON report containing any identified violations and corresponding fix hints.
“What are the security requirements for an internet-facing ALB?”
The skill provides the posture rules requiring an HTTPS listener on port 443 and an HTTP redirect to HTTPS on port 80.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/aws/tf-best-practices/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip tf-best-practices.zip -d .agents/skills

Documentation by AWS

tf-best-practices — Generated-IaC posture rules + read-only policy gate

A shared authoring guide and verdict producer, not a workflow. It answers two questions for a phase that generates AWS Terraform:

  1. Before writing — "what security posture must the generated terraform/ follow?" (the posture rules + the baseline.tf account-hardening spec)

  2. After writing — "does the generated terraform/ pass policy?" (a deterministic, read-only verdict + a machine-readable report)

Routing — load the part that matches your context

This skill is entered at two touchpoints in the caller's Generate flow, with the caller's own terraform-authoring work in between. The caller states which touchpoint it is at when it loads this skill, and reads the corresponding part:

Caller contextLoadWhy
About to author terraform/ (before writing)Part 1 → references/security-posture-rules.mdThe "what to emit" AWS authoring rules (gate-enforced + authoring-only + compliance-conditional).
terraform/ written, ready to validate (after writing)Part 2 → references/terraform-validation.md + run the gate scriptThe fmt → init → validate → policy protocol and the read-only verdict.

Everything this skill states is source-cloud-agnostic (pure AWS Terraform). Any GCP/Heroku detection or artifact reading is the caller's job; where a rule needs a caller-known fact (e.g. declared compliance frameworks), the caller passes it as a caller-context signal — see references/security-posture-rules.md § Caller-context signals.

Boundary (read this first)

This unit is a verdict producer, never a mutator. Its entire write surface is the JSON verdict it is asked to emit. Specifically it MUST NOT:

  • edit, format, or rewrite any .tf file (the caller owns remediation),

  • read or write .phase-status.json or any run-state file (interpreter-owned),

  • decide whether a phase may complete, or prompt the user (caller policy).

The caller (a migration skill's Generate phase) owns: the fix-and-retry loop that edits the .tf it generated, terraform fmt auto-apply, the retry/skip/abort prompt, the Phase Completion gate, and every .phase-status.json write. See the consuming skill's generate phase for how the verdict feeds those decisions.

Consumers: gcp-to-aws (prose Generate) and heroku-to-aws (DSL Generate). The contract is source-agnostic; each caller wires the two touchpoints in its own Generate idiom — gcp-to-aws as prose steps, heroku-to-aws as a fragment step plus a fail-closed _postconditions assert enforced by the interpreter.

Part 1 — Authoring posture (load before writing terraform/)

Emit generated Terraform that satisfies the posture in references/security-posture-rules.md.

These are the "what good AWS Terraform looks like" rules. Following them makes the Part 2 gate pass by construction. This unit does not read the caller's artifacts — it consumes only caller-context signals the caller passes in.

Scope. security-posture-rules.md covers, in three tiers:

  • Gate-enforced (Part 2 verifies statically): ALB TLS, no-public-database, RDS + ElastiCache encryption-at-rest, no-public-DB-port ingress, no-public admin/datastore-port ingress, no-wildcard-IAM.

  • Authoring-only (not gate-checkable, still required): deletion_protection, master-password-via-Secrets-Manager, S3 hardening, Fargate/EKS/ECR settings, private-subnet placement, backups, baseline monitoring.

  • Compliance-conditional (emitted when the caller declares soc2/pci/hipaa/fedramp): VPC flow logs, S3 access logging, secret rotation, customer-managed KMS.

Still the caller's own generation concern (candidates to migrate here later): the account-hardening baseline.tf layer (CloudTrail, GuardDuty, Config, Security Hub).

Part 2 — Policy gate (run after writing terraform/)

Run the read-only checker against the generated directory. Resolve the script path relative to the plugin root ($PLUGIN_ROOT/skills/tf-best-practices/scripts/...), the same convention the plugin uses for its other scripts:

python3 "$PLUGIN_ROOT/skills/tf-best-practices/scripts/validate-terraform-policy.py" "$TERRAFORM_DIR" --json "$VERDICT_PATH"
  • $TERRAFORM_DIR — required, caller-supplied: the generated terraform/ directory (e.g. $MIGRATION_DIR/terraform). This skill never defaults or discovers it — the caller always passes the path it wrote Terraform to.

  • --json $VERDICT_PATH — optional; writes a machine-readable verdict the caller can merge into its own validation-report.json.

The policy check is one stage of a larger validation flow (fmt → init → validate → policy). The full protocol — including offline-fallback behavior and how the policy verdict maps into a validation-report.json — is documented in references/terraform-validation.md. That protocol is descriptive: the caller owns the fmt/init/validate execution, the fix-and-retry loop, and the report write; this unit contributes only the read-only policy stage + verdict shape.

Before infrastructure completion, the caller must run scripts/validate-terraform-report.py on the saved validation-report.json and require exit 0. The checker enforces the shared v2 completion contract. Its RUNTIME_REPORT_OK result does not establish that Terraform ran or passed.

Exit codes → caller action
ExitstdoutMeaningCaller does
0POLICY_OKposture satisfiedproceed
1POLICY_FAILviolations presentread violations[], edit the named .tf sites, re-run (caller's retry budget)
2(usage error)bad path / IOsurface to user; do not treat as pass
Verdict shape (--json)
{
  "check": "policy",
  "policy_status": "POLICY_OK | POLICY_FAIL",
  "violations": [
    {
      "check": "policy",
      "rule": "alb_https_listener | alb_http_redirect | no_tf_files",
      "file": "compute.tf",
      "line": 7,
      "severity": "error",
      "summary": "human-readable violation",
      "fix_hint": "concrete remediation the caller can apply"
    }
  ]
}

Each violations[] entry is actionable evidence — file + line + fix_hint tell the caller exactly what to edit. The caller applies the edit; this unit only reports.

Policy rules enforced today

Companion checks for migration artifacts

Migration callers can also run the shared read-only scripts/validate-migration-artifacts.py against their complete migration directory:

python3 "$PLUGIN_ROOT/skills/tf-best-practices/scripts/validate-migration-artifacts.py" \
  "$MIGRATION_DIR" --json "$MIGRATION_DIR/artifact-validation-status.json"

This produces ARTIFACTS_OK, ARTIFACTS_FAIL, or ARTIFACTS_ERROR, separately from the Terraform policy verdict. The caller must inspect the real exit code and report; it must not synthesize success. Supported checks cover PostgreSQL verification control flow, EB/database security-group wiring, GitHub Actions step references and deployment operations, and literal RDS time windows. Unsupported structures require review. This is not a general Bash safety proof, provider validation, or proof that a deployment succeeds.

Heroku callers add --require-postgres-script when PostgreSQL is in the design, and --require-eb-workflow when GitHub Actions is the selected EB deployment method. Other callers must not impose those Heroku-specific requirements. The checker never executes a generated migration script or changes input files or phase state; only the explicit JSON report path may be written.

For RDS/Aurora generation, scripts/rds_windows.py resolves independent daily backup and weekly maintenance windows from caller preferences. It rejects invalid or explicitly conflicting choices rather than silently changing them. Callers use its actual JSON values when authoring Terraform.

Terraform policy rules

Every rule is fail-open on ambiguity — it fires only on unambiguous, in-block literal evidence, so a valid stack is never falsely blocked (a POLICY_FAIL is a hard completion gate for the caller, so a false positive would block a real migration).

Internet-facing ALB TLS posture (an ALB is internet-facing when internal is absent, false, or variable-driven — fail-safe):

  • alb_https_listener — must have an HTTPS listener on 443 with certificate_arn and a forward action.

  • alb_http_redirect — an HTTP :80 listener must redirect to HTTPS, never forward to targets. Internal ALBs (internal = true) are exempt.

Elastic Beanstalk ALBs are invisible to these rules. The ALB rules inspect standalone aws_lb_listener blocks. An EB LoadBalanced environment provisions its ALB from aws_elastic_beanstalk_environment setting blocks, which the static checker does not read — so a pure-EB design passes the ALB rules vacuously (no listener to inspect). EB listener/TLS posture is therefore authoring-only, not gate-enforced. (Fixtures good-heroku-eb-only and good-heroku-eb-singleinstance document this; good-heroku-eb-loadbalanced carries a standalone ALB so the listener rules are exercised on real blocks.)

Managed database exposure & encryption (aws_db_instance, aws_rds_cluster):

  • rds_not_public — must not set publicly_accessible = true (absent/variable → fail-open).

  • rds_encryption_at_rest — must set storage_encrypted = true; missing or literal false fires (RDS defaults to unencrypted), variable-driven fails open. S3 is not checked (default SSE-S3 since Jan 2023).

ElastiCache encryption (aws_elasticache_replication_group, Redis aws_elasticache_cluster):

  • elasticache_encryption_at_rest — a replication group must set at_rest_encryption_enabled = true; missing or literal false fires, variable-driven fails open.

  • elasticache_cluster_encryption — a Redis-engine aws_elasticache_cluster (single-node: engine = "redis", no replication_group_id) must set BOTH at_rest_encryption_enabled = true and transit_encryption_enabled = true; missing or literal false on either fires, variable-driven fails open. engine = "memcached" clusters (and variable-driven/absent engine) are exempt — Memcached does not support these attributes.

Security group ingress:

  • db_sg_no_public_ingress — an inline aws_security_group ingress covering 5432/3306 must not allow 0.0.0.0/0 or ::/0.

  • sg_no_public_admin_ingress — an inline ingress must not open a curated never-public admin/datastore port (22, 3389, 6379, 11211, 27017, 9200/9300, 5601) to 0.0.0.0/0 or ::/0. Web (80/443) and app/game ports are not flagged; DB ports are handled by the rule above. Both check cidr_blocks and ipv6_cidr_blocks independently, so a benign IPv4 list does not mask an open IPv6 one. Both: separate aws_security_group_rule / aws_vpc_security_group_ingress_rule resources fail open (not correlated).

IAM least-privilege (aws_iam_policy, aws_iam_role_policy, aws_iam_group_policy, aws_iam_user_policy):

  • no_wildcard_iam — an Allow statement must not use Action/Resource "*". The one narrow exception is an isolated elasticbeanstalk:CreateStorageLocation statement with Resource = "*" because AWS does not support resource-level permissions for that action. aws_iam_policy_document data sources and assume-role trust policies fail open.

The checker is a zero-dependency static HCL reader (no terraform init, no provider download) — it runs even when the registry is unreachable. It uses brace-depth matching for nested blocks, so a valid HTTPS listener written with a nested forward { ... } block is not a false failure.

Fixtures (also the checker's regression suite)

fixtures/terraform-policy/ holds intentionally-shaped Terraform used by scripts/test_validate_terraform_policy.py:

  • bad-http-forward/ — internet-facing ALB that forwards plaintext HTTP → MUST POLICY_FAIL.

  • internal-alb-only/ — internal ALB on HTTP → MUST POLICY_OK (HTTP allowed internally).

  • good-https-redirect/ — the correct pattern → POLICY_OK.

These are deliberately non-compliant test data (never deployed). They are excluded from the repo-wide checkov scan via .checkov.yaml skip-path; do not "harden" them — doing so breaks the tests that assert the failure paths.

Verification

# from skills/tf-best-practices/
uv run --python 3.12 --with pytest python -m pytest scripts/test_validate_terraform_policy.py -q

Files

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python, Needs Node.js

Security

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Attribution and licence

Published by
AWS
Publisher
AWS (Official)
Source
aws/agent-toolkit-for-aws · plugins/aws-startup-advisor/skills/tf-best-practices · commit 0a218f8
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
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