>- 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.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
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.