quickstart

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

By anthropics · 949 installs

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

Source repository · Upstream listing

/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.