anthropics/quickstart
>- intro, then an offer to walk you through your first run on the canary 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.
npx skills add https://github.com/anthropics/defending-code-reference-harness --skill quickstart
Two modes, picked by whether $ARGUMENTS is empty.
$ARGUMENTS as the operator's question.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:
run" below.
README.md Step 1 and stop.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.
/threat-model bootstrap targets/canary via Task. When done, openTHREAT_MODEL.md, show the focus areas, explain in 2-3 sentences how
this steers the scan.
/vuln-scan targets/canary via Task. When done, opentargets/canary/VULN-FINDINGS.md, summarize the count and top 2-3
findings, point at VULN-FINDINGS.json.
/triage targets/canary/VULN-FINDINGS.json via Task. When done, openTRIAGE.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.
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.
| 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 |
> source: the file(s) and section you used.applies. If none does, say so.
Grep for it inharness/cli.py or the target configs and quote what you find.
operator open a GitHub issue on this repo.
Take anthropics/quickstart from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.