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skill Claude Code CX Codex Cursor GitHub Copilot official · Anthropic

quickstart — Claude Code skill: what it does, how to install

Guides a first pass through the code-security repository, from threat modeling to a canary scan. It also answers repo-specific questions with cited sources.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add anthropics/defending-code-reference-harness --skill quickstart -a claude-code
Open on GitHub

What quickstart does

quickstart has two modes. With no argument, it gives a short orientation and offers a guided first run on targets/canary. With a question, it searches the repository README, docs, source files, and target configuration, cites where it looked, and gives the next command.

The guided run sends three steps through Task: /threat-model bootstrap targets/canary, /vuln-scan targets/canary, and /triage targets/canary/VULN-FINDINGS.json. After each step, the skill opens the resulting artifacts, including THREAT_MODEL.md, VULN-FINDINGS.md, VULN-FINDINGS.json, and TRIAGE.md, then pauses for the operator.

The first run only reads and writes repository files, so it does not need a sandbox. It does not run vuln-pipeline; that execution-verified pipeline belongs to the next step and requires Docker plus a sandbox. Set CLAUDE_CODE_SUBAGENT_MODEL=<model-id> when subagents should use the session's model.

What it helps with

  • get oriented in the security repository
  • build a threat model for targets/canary
  • run the first vulnerability scan
  • triage and re-rank raw findings
  • find repo-specific answers about the pipeline or CLI

Example prompts for the agent

  • Run `/quickstart` and walk me through the first run on `targets/canary`.
  • `/quickstart` Where are Docker and sandbox safety limits described?
  • `/quickstart` How do I run a scan and review its triage output?

How to install quickstart

1Skills CLI (Vercel)

npx skills add anthropics/defending-code-reference-harness --skill quickstart -a claude-code

2Manually: put the files in place

~/.claude/skills/quickstart/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/quickstart/

From the same set6

The whole set →

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Questions about quickstart

How do I install quickstart in Claude Code?

Run npx skills add anthropics/defending-code-reference-harness --skill quickstart -a claude-code, run the same command again, then open ~/.claude/skills/quickstart/SKILL.md.

What does quickstart do?

It gives a short repository introduction or answers questions from the repository's README, docs, and source. Its guided first run covers threat modeling, scanning, and triage for targets/canary.

Does quickstart need Docker for the first run?

No. The guided first run reads and writes repository files without a sandbox. Docker and a sandbox are required for the next execution-verified pipeline step, which this skill does not run.

Source text

SKILL.md · Apache-2.0
---
name: quickstart
description: >-
  The front door for this repo. With no argument: a 30-second
  intro, then an offer to walk you through your first run on the canary
  target. With a question: answers it from this repo's own docs and source,
  cites where it looked, and hands you the next command. Use for "how do
  I…", "why does…", "where is…", "can this…", or just "/quickstart" to get
  oriented.
argument-hint: "[question]   (blank = 30-sec intro)"
allowed-tools:
  - Read
  - Glob
  - Grep
  - Task
  - AskUserQuestion
---

# /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.

© anthropics · Apache-2.0 · anthropics/defending-code-reference-harness

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