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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.
npx skill4agent add anthropics/defending-code-reference-harness quickstart$ARGUMENTS$ARGUMENTSWelcome! 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.
export CLAUDE_CODE_SUBAGENT_MODEL=<model-id>README.mdtargets/canary/threat-model bootstrap targets/canaryTHREAT_MODEL.md/vuln-scan targets/canarytargets/canary/VULN-FINDINGS.mdVULN-FINDINGS.json/triage targets/canary/VULN-FINDINGS.jsonTRIAGE.mdvuln-pipelinedocs/*.mdharness/*.pytargets/*/config.yaml.claude/skills/*| If the question is about… | Read first | Then offer |
|---|---|---|
| running the pipeline | | the |
| too many findings, triage | | |
| porting, Java/Go/Rust/etc. | | |
| safety, sandbox, Docker | | cite; no action |
| rate limits, 429, token budget | | cite the numbers |
| duplicates, dedup | | |
| CLI flags, "what does --X do" | | exact flag + example |
| which model, subagent pinning | | the |
| best practices, prompting | | cite the principle |
| "how do I start" | README Step 1 | offer Guided first run |
| patching, fix, diff, re-attack | | |
| binary, pentest, other domains | | cite section |
| anything else | README Table of contents | best-match doc |
> source:Grepharness/cli.py