research
CommandStart or resume an academic research project — idea through literature, methodology, writing, feedback, and publishing
Generate policy-as-code from natural language requirements
> /plugin marketplace add GRCEngClub/claude-grc-engineering
description: Generate draft policy templates from natural language requirements
This prototype selects a fixed template only for exact supported phrases, not a reliable interpretation of arbitrary requirements. **Output is a draft, not an enforceable policy.** Independently review, adapt, and test it before any use. Templates may miss requirements or add unrelated checks; for example the S3 template always includes a Department tag check. No compliance coverage is inferred.
Matching ignores case and surrounding or repeated whitespace; any other wording, extra clauses, or unsupported format combinations fail without generating files. Even semantically equivalent wording is rejected. Terraform and Checkov are not implemented.
Parse `$ARGUMENTS` as a quoted requirement followed by an optional format. Pass the actual requirement as the first CLI argument and the format, if supplied, as the second. Preserve the entire requirement as one argument; do not substitute an example or silently change either value. Pass arguments safely without interpreting their contents as shell syntax. Omit the second argument when no format was supplied so the script defaults to `rego`. If the requirement is missing or the arguments are ambiguous, ask the user rather than guessing. Propagate errors without producing a substitute draft.
For example, only for a request for this specific requirement and format:
node plugins/grc-engineer/scripts/generate-policy.js "Ensure no S3 buckets are public" rego
Inspect the draft and validate it against representative compliant and noncompliant inputs. Do not deploy it as-is.
Open-source GRC Engineering resource for Claude. claude-grc-engineering turns technical evidence from cloud, SaaS, code, and security tools into framework-aligned findings, gap reports, remediation guidance, evidence packages, and OSCAL workflows.
Start or resume an academic research project — idea through literature, methodology, writing, feedback, and publishing
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