quickstart
>-
Works with
Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
--- name: quickstart description: >- license: Apache-2.0 --- # /quickstart Two modes, picked by whether `$ARGUMENTS` is empty. - **Empty → Intro mode.** Short orientation, then offer the guided first run. - **Non-empty → Help mode.** Treat `$ARGUMENTS` as the operator's question. --- ## Intro mode Keep it short and a little warm; this is the first thing a new operator sees. Say roughly: > **Welcome!** This repo takes you from finding your first vulnerability to > patching at scale, using a set of Claude Code skills and an autonomous > pipeline. Two ways in: **interactive skills** (no setup, safe, start here) > and the **autonomous pipeline** (Docker, scales to hundreds of parallel > agents). > > The ramp-up: > > | Day 1 | Threat-model + first static scan + triage | > | Day 2 | Run the reference pipeline (C/C++) | > | Day 3-4 | Customize it for your stack | > | Week 2 | Autonomous scanning, triage, and patching | > > Day-1 goal: threat-model, scan, and triage the bundled canary target. > Most teams get there before lunch. Remind them to `export CLAUDE_CODE_SUBAGENT_MODEL=<model-id>` so subagents use the same model as the session. Then **AskUserQuestion** with three options: 1. **Walk me through Day 1 on the canary (~10 min)** → run "Guided first run" below. 2. **I have a question** → ask what it is, then switch to Help mode. 3. **I'll read the README** → point at `README.md` Step 1 and stop. ### Guided first run Runs the three Step-1 skills on `targets/canary`, pausing after each to show what landed on disk. These only read/write files in the repo; no sandbox needed. 1. `/threat-model bootstrap targets/canary` via Task. When done, open `THREAT_MODEL.md`, show the focus areas, explain in 2-3 sentences how this steers the scan. 2. `/vuln-scan targets/canary` via Task. When done, open `targets/canary/VULN-FINDINGS.md`, summarize the count and top 2-3 findings, point at `VULN-FINDINGS.json`. 3. `/triage targets/canary/VULN-FINDINGS.json` via Task. When done, open `TRIAGE.md`, explain what changed vs. raw findings (verified, deduped, re-ranked). Pause for the operator between each (AskUserQuestion); don't barrel through. Close with a one-line recap of the three artifacts on disk, then point at README Step 2 for the execution-verified pipeline. **Never run `vuln-pipeline` or anything that executes target code here**; that's Step 2 and needs Docker + a sandbox. --- ## Help mode Answer the operator's question using **this repo as ground truth**: README, `docs/*.md`, `harness/*.py`, `dnr_harness/*.py`, `targets/*/config.yaml`, `.claude/skills/*`. Don't answer from general knowledge when the repo has a specific answer. ### Routing map | If the question is about… | Read first | Then offer | |---------------------------------|-----------------------------------------|------------| | running the pipeline | `docs/pipeline.md`, README Step 2 | the `recon` / `run` command | | too many findings, triage | `docs/triage.md` | `/triage <path>` | | porting, Java/Go/Rust/etc. | `docs/customizing.md`, README Step 3 | `/customize` | | safety, sandbox, Docker | `docs/security.md` | cite; no action | | rate limits, 429, token budget | `docs/pipeline.md`: Rate limits, `docs/troubleshooting.md#rate-limits` | cite the numbers | | duplicates, dedup | `docs/troubleshooting.md#duplicate-findings` | `known_bugs:` hint | | CLI flags, "what does --X do" | `harness/cli.py` (grep the argparse) | exact flag + example | | which model, subagent pinning | `docs/troubleshooting.md`: Subagents | the `export` line | | best practices, prompting | `docs/best-practices.md`, `docs/prompting.md` | cite the principle | | threat model, attack surface, scope | `docs/threat-model.md` | `/threat-model bootstrap <target-dir>` | | scan, audit, find vulns | `.claude/skills/vuln-scan/SKILL.md` | `/vuln-scan <target-dir>` | | "how do I start" | README Step 1 | offer Guided first run | | patching, fix, diff, re-attack | `docs/patching.md`, README Step 4 | `/patch <input>` | | threat hunting, incident response, logs | `docs/detection-response.md` | `/dnr-hunt` or `/dnr-respond` | | autonomous D&R, dnrcanary | `docs/detection-response.md`, `targets/dnrcanary/README.md` | the `dnr-pipeline run` command | | binary, embedded, other domains | `docs/other-use-cases.md` | cite section | | anything else | README Table of contents | best-match doc | ### Answer format 1. **Direct answer** in 2-5 sentences. 2. `> source:` the file(s) and section you used. 3. **Next action:** one copy-pasteable command or skill invocation, if one applies. If none does, say so. 4. If the question is ambiguous, ask **one** clarifying question; don't guess. ### Constraints - Never fabricate CLI flags or file paths. If unsure, `Grep` for it in `harness/cli.py` or the target configs and quote what you find. - If the repo doesn't answer the question, say so plainly and suggest the operator open a GitHub issue on this repo. - Keep the Q&A dry and cited. Save the warmth for Intro mode.
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