academic-research-comp…
Guide a research project through the full academic lifecycle — from raw idea to concrete research question, literature grounding, methodology, writing,…
Setup guidance for users running a /report:* command before their toolkit has enough context. Use when a report command detects missing findings, frameworks, or history. Walks the user through installation and first collection rather than generating a hollow report.
$ npx -y skills add GRCEngClub/claude-grc-engineering --skill context-bootstrap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/context-bootstrapContext preview
The summary Claude sees to decide when to auto-load this skill.
Setup guidance for users running a /report:* command before their toolkit has enough context. Use when a report command detects missing findings, frameworks, or history. Walks the user through installation and first collection rather than generating a hollow report.
name: context-bootstrap description: Setup guidance for users running a /report:* command before their toolkit has enough context. Use when a report command detects missing findings, frameworks, or history. Walks the user through installation and first collection rather than generating a hollow report. allowed-tools: Read, Glob, Bash
Hollow reports are worse than no reports. When a user runs `/report:exec-summary` with an empty findings cache, the right move is to teach them the setup, not to make up a report.
Before any report command generates, verify:
1. **Plugins installed.** Run `/plugin list` or inspect the marketplace. Need at least:
2. **Findings cache populated.** Look in `~/.cache/claude-grc/findings/<source>/*.json`. Timestamps within the last 30 days mean the pipeline is active.
3. **Framework metadata available.** Each framework plugin's `plugin.json` should have a `framework_metadata` block. Without it, coverage math fails silently.
4. **History depth (for week-over-week commands).** `/report:automation-coverage` needs at least 2 metric snapshots in `./grc-data/metrics/` that are 7+ days apart. Verify snapshot dates there rather than inferring movement from the findings cache.
5. **Optional GitOps state.** `./grc-data/risks/*`, `./grc-data/metrics/*`, `./grc-data/incidents/*.md`. The JSON contracts live in `docs/GRC-DATA.md`. Missing is fine; present is better.
Auto-discover everything. Ask at most one or two narrative questions (audience, material asks). Generate.
Name what's missing. Auto-discover what exists. Offer to proceed with interview mode where the user fills the gaps conversationally. Example:
> I see findings from github-inspector across the last 14 days, SOC 2 framework installed. No risk register at `./grc-data/risks/`. I can still write the report using findings and metrics only, or you can set up a risk register first. `docs/GRC-DATA.md` shows the file shape. Which do you want?
Walk through the setup. Do not generate.
Deliver these steps in plain conversational form. Do not dump all commands at once; confirm each step before moving to the next.
1. **Add the marketplace**
/plugin marketplace add GRCEngClub/claude-grc-engineering
2. **Install the minimum plugin set**
/plugin install grc-engineer@grc-engineering-suite /plugin install github-inspector@grc-engineering-suite /plugin install soc2@grc-engineering-suite
`github-inspector` is the lowest-setup connector (uses the `gh` CLI you probably already have authenticated). `soc2` is the most common first framework.
3. **Set up the connector**
/github-inspector:setup
Confirms `gh auth status` and writes a default config.
4. **Collect findings**
/github-inspector:collect --scope=@me
For a first run, `@me` scopes to the user's own repos. For org-wide scans, use `--scope=<org-name>` with a token that has `admin:org`.
5. **Run the first gap assessment (optional but recommended)**
/grc-engineer:gap-assessment SOC2 --sources=github-inspector
Not strictly required for `/report:*` commands, but produces the crosswalked finding structure report commands read.
6. **Come back to the report command.** With findings in cache, rerun the report command that sent the user here.
7. **If the user wants `/report:program-health`, add a second framework now.**
/plugin install fedramp-rev5@grc-engineering-suite /grc-engineer:gap-assessment SOC2,FedRAMP-Moderate --sources=github-inspector
`program-health` needs more than one framework in scope or it is not a portfolio view.
This command needs history. If the user just finished a first-time setup, tell them:
> You have one baseline from today. Automation coverage needs at least two metric snapshots 7+ days apart so there's a delta to report. Two options: > > 1. Schedule regular collection with `/grc-engineer:monitor-continuous SOC2 daily --sources=github-inspector`. Come back in 7-14 days. > 2. Run `/grc-engineer:record-automation-metrics <framework> --controls-total=<n> --controls-automated=<n> --window-label=<period>` once per week so `./grc-data/metrics/` builds a real history, then rerun the report after you have two snapshots.
Do not fabricate a week-over-week comparison from Findings alone.
Never. A fake report is worse than no report because it teaches the user to trust numbers that aren't real. If the user explicitly asks for a template rendering with placeholder data for demo purposes, that is a different ask and gets a clearly-labeled `DEMO DATA` output.
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.
Repo: GRCEngClub/claude-grc-engineering
Guide a research project through the full academic lifecycle — from raw idea to concrete research question, literature grounding, methodology, writing,…
Expertise in evaluating AWS accounts for compliance — what checks are meaningful, which SCF controls they map to, and how to interpret aws CLI output.
Use when interpreting AWS Secrets Manager connector output, deciding between inspector and retrieve modes, drafting SCF-mapped controls for rotation / KMS /…
Expertise in evaluating Azure subscription findings from azure-inspector and mapping them to SCF controls.
Interpret CrowdStrike Falcon findings for sensor coverage, policy visibility, and host group scoping.
Interpret datadog-inspector findings and translate Datadog monitoring, audit, log-retention, SSO, and RBAC results into GRC evidence and remediation.